Opportunistic multipath for bandwidth-efficient cooperative networking. - Alejandro Ribeiro; Xiaodong Cai; Georgios B. Giannakis (ICASSP (4), 2004)

Non-parametric distributed quantization-estimation using wireless sensor networks. - Alejandro Ribeiro; Georgios B. Giannakis (ICASSP (4), 2005)

Cooperative random access with long PN spreading codes. - Yingqun Yu; Alejandro Ribeiro; Nikolaos D. Sidiropoulos; Georgios B. Giannakis (ICASSP (3), 2005)

Distributed quantization-estimation using wireless sensor networks. - Alejandro Ribeiro; Georgios B. Giannakis (ICC, 2005)

Increasing the throughput of spread-Aloha protocols via long PN spreading codes. - Alejandro Ribeiro; Yingqun Yu; Georgios B. Giannakis; Nikos D. Sidiropoulos (ICC, 2005)

Symbol error probabilities for general Cooperative links. - Alejandro Ribeiro; Xiaodong Cai; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2005)

Distributed estimation with ad hoc wireless sensor networks. - Ioannis D. Schizas; Alejandro Ribeiro; Georgios B. Giannakis (EUSIPCO, 2006)

Link-Adaptive Distributed Coding for Multi-Source Cooperation. - Alfonso Cano; Tairan Wang; Alejandro Ribeiro; Georgios B. Giannakis (GLOBECOM, 2006)

Distributed compression-estimation using wireless sensor networks. - Jin-Jun Xiao; Alejandro Ribeiro; Zhi-Quan Luo; Georgios B. Giannakis (IEEE Signal Process. Mag., 2006)

Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case. - Alejandro Ribeiro; Georgios B. Giannakis (IEEE Trans. Signal Process., 2006)

Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function. - Alejandro Ribeiro; Georgios B. Giannakis (IEEE Trans. Signal Process., 2006)

SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations. - Alejandro Ribeiro; Georgios B. Giannakis; Stergios I. Roumeliotis (IEEE Trans. Signal Process., 2006)

Opportunistic multipath for bandwidth-efficient cooperative multiple access. - Alejandro Ribeiro; Xiaodong Cai; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2006)

Robust Routing in Wireless Multi-Hop Networks. - Yuchen Wu; Alejandro Ribeiro; Georgios B. Giannakis (CISS, 2007)

Distributed Routing Algorithms for Wireless Multihop Networks. - Alejandro Ribeiro; Georgios B. Giannakis; Nicholas D. Sidiropoulos (ICASSP (3), 2007)

Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links. - Ioannis D. Schizas; Alejandro Ribeiro; Georgios B. Giannakis (ICASSP (2), 2007)

Modelling and Optimization of Stochastic Routing for Wireless Multi-Hop Networks. - Alejandro Ribeiro; Georgios B. Giannakis; Zhi-Quan Luo; Nikos D. Sidiropoulos (INFOCOM, 2007)

Multi-source cooperation with full-diversity spectral-efficiency and controllable-complexity. - Alejandro Ribeiro; Renqiu Wang; Georgios B. Giannakis (IEEE J. Sel. Areas Commun., 2007)

Achieving Wireline Random Access Throughput in Wireless Networking Via User Cooperation. - Alejandro Ribeiro; Nikos D. Sidiropoulos; Georgios B. Giannakis; Yingqun Yu (IEEE Trans. Inf. Theory, 2007)

Session WA6b: Wireless network utility maximization: Fundamental limits and protocols. - Alejandro Ribeiro (ACSCC, 2008)

Optimal layered architectures of wireless networks. - Alejandro Ribeiro; Georgios B. Giannakis (ACSCC, 2008)

Layer separability of wireless networks. - Alejandro Ribeiro; Georgios B. Giannakis (CISS, 2008)

Distributed Kalman filtering based on quantized innovations. - Eric J. Msechu; Alejandro Ribeiro; Stergios I. Roumeliotis; Georgios B. Giannakis (ICASSP, 2008)

Optimal FDMA over wireless fading mobile ad-hoc networks. - Alejandro Ribeiro; Georgios B. Giannakis (ICASSP, 2008)

Link-Adaptive Distributed Coding for Multisource Cooperation. - Alfonso Cano; Tairan Wang; Alejandro Ribeiro; Georgios B. Giannakis (EURASIP J. Adv. Signal Process., 2008)

Decentralized Quantized Kalman Filtering With Scalable Communication Cost. - Eric J. Msechu; Stergios I. Roumeliotis; Alejandro Ribeiro; Georgios B. Giannakis (IEEE Trans. Signal Process., 2008)

Consensus in Ad Hoc WSNs With Noisy Links - Part II: Distributed Estimation and Smoothing of Random Signals. - Ioannis D. Schizas; Georgios B. Giannakis; Stergios I. Roumeliotis; Alejandro Ribeiro (IEEE Trans. Signal Process., 2008)

Consensus in Ad Hoc WSNs With Noisy Links - Part I: Distributed Estimation of Deterministic Signals. - Ioannis D. Schizas; Alejandro Ribeiro; Georgios B. Giannakis (IEEE Trans. Signal Process., 2008)

Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks. - Alejandro Ribeiro; Nikolas D. Sidiropoulos; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2008)

Cross-layer optimization of wireless fading ad-hoc networks. - Nikolaos Gatsis; Alejandro Ribeiro; Georgios B. Giannakis (ICASSP, 2009)

Layers and layer interfaces in wireless networks. - Alejandro Ribeiro (ICASSP, 2009)

Cooperative Communications in Wireless Networks. - Laura Cottatellucci; Xavier Mestre; Erik G. Larsson; Alejandro Ribeiro (EURASIP J. Wirel. Commun. Netw., 2009)

Mobility & routing control in networks of robots. - Michael M. Zavlanos; Alejandro Ribeiro; George J. Pappas (CDC, 2010)

Separation principles in wireless networking. - Alejandro Ribeiro; Georgios B. Giannakis (IEEE Trans. Inf. Theory, 2010)

Ergodic Stochastic Optimization Algorithms for Wireless Communication and Networking. - Alejandro Ribeiro (IEEE Trans. Signal Process., 2010)

A class of convergent algorithms for resource allocation in wireless fading networks. - Nikolaos Gatsis; Alejandro Ribeiro; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2010)

Network optimization with heuristic rational agents. - Ceyhun Eksin; Alejandro Ribeiro (ACSCC, 2011)

A framework for integrating mobility and routing in mobile communication networks. - Michael M. Zavlanos; Alejandro Ribeiro; George J. Pappas (ACSCC, 2011)

Optimal random access for wireless networks in the presence of fading. - Yichuan Hu; Alejandro Ribeiro (Allerton, 2011)

Accelerated dual descent for network optimization. - Michael Zargham; Alejandro Ribeiro; Asuman E. Ozdaglar; Ali Jadbabaie (ACC, 2011)

Robot deployment with end-to-end communication constraints. - Jerome Le Ny; Alejandro Ribeiro; George J. Pappas (CDC/ECC, 2011)

Optimal Transmission over a Fading Channel with Imperfect Channel State Information. - Yichuan Hu; Alejandro Ribeiro (GLOBECOM, 2011)

Adaptive Distributed Algorithms for Optimal Random Access Channels. - Yichuan Hu; Alejandro Ribeiro (IEEE Trans. Wirel. Commun., 2011)

Dynamic games with side information in economic networks. - Ceyhun Eksin; Pooya Molavi; Alejandro Ribeiro; Ali Jadbabaie (ACSCC, 2012)

Distributed maximum a posteriori probability estimation for tracking of dynamic systems. - Felicia Y. Jakubiec; Alejandro Ribeiro (ACSCC, 2012)

Learning in linear games over networks. - Ceyhun Eksin; Pooya Molavi; Alejandro Ribeiro; Ali Jadbabaie (Allerton Conference, 2012)

Adaptive communication-constrained deployment of mobile robotic networks. - Jerome Le Ny; Alejandro Ribeiro; George J. Pappas (ACC, 2012)

A distributed line search for network optimization. - Michael Zargham; Alejandro Ribeiro; Ali Jadbabaie (ACC, 2012)

Network optimization under uncertainty. - Michael Zargham; Alejandro Ribeiro; Ali Jadbabaie (CDC, 2012)

Heuristic rational models in social networks. - Ceyhun Eksin; Alejandro Ribeiro (ICASSP, 2012)

Optimal wireless multiuser channels with imperfect channel state information. - Yichuan Hu; Alejandro Ribeiro (ICASSP, 2012)

Distributed maximum a posteriori probability estimation of dynamic systems with wireless sensor networks. - Felicia Y. Jakubiec; Alejandro Ribeiro (ICASSP, 2012)

A distributed routing protocol for predictable rates in wireless mesh networksy. - Behnaz Arzani; Roch Guérin; Alejandro Ribeiro (ICNP, 2012)

Motion planning for robust wireless networking. - Jonathan Fink; Alejandro Ribeiro; Vijay Kumar 001 (ICRA, 2012)

Optimal resource allocation in wireless communication and networking. - Alejandro Ribeiro (EURASIP J. Wirel. Commun. Netw., 2012)

Adaptive Communication-Constrained Deployment of Unmanned Vehicle Systems. - Jerome Le Ny; Alejandro Ribeiro; George J. Pappas (IEEE J. Sel. Areas Commun., 2012)

Robust Control for Mobility and Wireless Communication in Cyber-Physical Systems With Application to Robot Teams. - Jonathan Fink; Alejandro Ribeiro; Vijay Kumar 001 (Proc. IEEE, 2012)

Distributed Network Optimization With Heuristic Rational Agents. - Ceyhun Eksin; Alejandro Ribeiro (IEEE Trans. Signal Process., 2012)

Optimal Wireless Networks Based on Local Channel State Information. - Yichuan Hu; Alejandro Ribeiro (IEEE Trans. Signal Process., 2012)

Hierarchical clustering methods and algorithms for asymmetric networks. - Gunnar E. Carlsson; Facundo Mémoli; Alejandro Ribeiro; Santiago Segarra (ACSSC, 2013)

Hierarchical clustering and consensus in trust networks. - Santiago Segarra; Alejandro Ribeiro (CAMSAP, 2013)

Convergence of Bayesian histogram filters for location estimation. - Avik De; Alejandro Ribeiro; William Moran 001; Daniel E. Koditschek (CDC, 2013)

Power-aware communication for wireless sensor-actuator systems. - Konstantinos Gatsis; Miroslav Pajic; Alejandro Ribeiro; George J. Pappas (CDC, 2013)

Learning to coordinate in a beauty contest game. - Pooya Molavi; Ceyhun Eksin; Alejandro Ribeiro; Ali Jadbabaie (CDC, 2013)

Accelerated dual descent for constrained convex network flow optimization. - Michael Zargham; Alejandro Ribeiro; Ali Jadbabaie (CDC, 2013)

Distributed filters for Bayesian network games. - Ceyhun Eksin; Pooya Molavi; Alejandro Ribeiro; Ali Jadbabaie (EUSIPCO, 2013)

A linearized bregman algorithm for decentralized basis pursuit. - Kun Yuan 001; Qing Ling 001; Wotao Yin; Alejandro Ribeiro (EUSIPCO, 2013)

Alternative axiomatic constructions for hierarchical clustering of asymmetric networks. - Gunnar E. Carlsson; Facundo Mémoli; Alejandro Ribeiro; Santiago Segarra (GlobalSIP, 2013)

Regularized stochastic BFGS algorithm. - Aryan Mokhtari; Alejandro Ribeiro (GlobalSIP, 2013)

Accelerated backpressure algorithm. - Michael Zargham; Alejandro Ribeiro; Ali Jadbabaie (GLOBECOM, 2013)

Axiomatic construction of hierarchical clustering in asymmetric networks. - Gunnar E. Carlsson; Facundo Mémoli; Alejandro Ribeiro; Santiago Segarra (ICASSP, 2013)

Authorship attribution using function words adjacency networks. - Santiago Segarra; Mark Eisen; Alejandro Ribeiro (ICASSP, 2013)

Cognitive access algorithms for multiple access channels. - Yichuan Hu; Alejandro Ribeiro (SPAWC, 2013)

A dual stochastic DFP algorithm for optimal resource allocation in wireless systems. - Aryan Mokhtari; Alejandro Ribeiro (SPAWC, 2013)

Robust Control of Mobility and Communications in Autonomous Robot Teams. - Jonathan Fink; Alejandro Ribeiro; Vijay Kumar 001 (IEEE Access, 2013)

Learning in Network Games with Incomplete Information: Asymptotic Analysis and Tractable Implementation of Rational Behavior. - Ceyhun Eksin; Pooya Molavi; Alejandro Ribeiro; Ali Jadbabaie (IEEE Signal Process. Mag., 2013)

Network Integrity in Mobile Robotic Networks. - Michael M. Zavlanos; Alejandro Ribeiro; George J. Pappas (IEEE Trans. Autom. Control., 2013)

Optimal Wireless Communications With Imperfect Channel State Information. - Yichuan Hu; Alejandro Ribeiro (IEEE Trans. Signal Process., 2013)

D-MAP: Distributed Maximum a Posteriori Probability Estimation of Dynamic Systems. - Felicia Y. Jakubiec; Alejandro Ribeiro (IEEE Trans. Signal Process., 2013)

Network Newton. - Aryan Mokhtari; Qing Ling 001; Alejandro Ribeiro (ACSSC, 2014)

Opportunistic sensor scheduling in wireless control systems. - Konstantinos Gatsis; Miroslav Pajic; Alejandro Ribeiro; George J. Pappas (CDC, 2014)

Dithering and betweenness centrality in weighted graphs. - Santiago Segarra; Alejandro Ribeiro (GlobalSIP, 2014)

Discounted integral priority routing for data networks. - Michael Zargham; Alejandro Ribeiro; Ali Jadbabaie (GLOBECOM, 2014)

Distributed demand side management of heterogeneous rational consumers in smart grids with renewable sources. - Ceyhun Eksin; Hakan Deliç; Alejandro Ribeiro (ICASSP, 2014)

Information aggregation in a beauty contest game. - Ceyhun Eksin; Pooya Molavi; Alejandro Ribeiro; Ali Jadbabaie (ICASSP, 2014)

Decentralized linearized alternating direction method of multipliers. - Qing Ling 001; Alejandro Ribeiro (ICASSP, 2014)

A quasi-Newton method for large scale support vector machines. - Aryan Mokhtari; Alejandro Ribeiro (ICASSP, 2014)

A stable betweenness centrality measure in networks. - Santiago Segarra; Alejandro Ribeiro (ICASSP, 2014)

Opportunistic scheduling of control tasks over shared wireless channels. - Konstantinos Gatsis; Miroslav Pajic; Alejandro Ribeiro; George J. Pappas (ICCPS, 2014)

Hierarchical Quasi-Clustering Methods for Asymmetric Networks. - Gunnar E. Carlsson; Facundo Mémoli; Alejandro Ribeiro; Santiago Segarra (ICML, 2014)

Robust routing and Multi-Confirmation Transmission Protocol for connectivity management of mobile robotic teams. - James Stephan; Jonathan Fink; Benjamin Charrow; Alejandro Ribeiro; Vijay Kumar 001 (IROS, 2014)

Optimal Power Management in Wireless Control Systems. - Konstantinos Gatsis; Alejandro Ribeiro; George J. Pappas (IEEE Trans. Autom. Control., 2014)

Accelerated Dual Descent for Network Flow Optimization. - Michael Zargham; Alejandro Ribeiro; Asuman E. Ozdaglar; Ali Jadbabaie (IEEE Trans. Autom. Control., 2014)

Bayesian Quadratic Network Game Filters. - Ceyhun Eksin; Pooya Molavi; Alejandro Ribeiro; Ali Jadbabaie (IEEE Trans. Signal Process., 2014)

Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers. - Qing Ling 001; Alejandro Ribeiro (IEEE Trans. Signal Process., 2014)

RES: Regularized Stochastic BFGS Algorithm. - Aryan Mokhtari; Alejandro Ribeiro (IEEE Trans. Signal Process., 2014)

Diffusion distance for signals supported on networks. - Weiyu Huang; Santiago Segarra; Alejandro Ribeiro (ACSSC, 2015)

Decentralized double stochastic averaging gradient. - Aryan Mokhtari; Alejandro Ribeiro (ACSSC, 2015)

Sampling of graph signals: Successive local aggregations at a single node. - Santiago Segarra; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (ACSSC, 2015)

Prediction-correction methods for time-varying convex optimization. - Andrea Simonetto; Alec Koppel; Aryan Mokhtari; Geert Leus; Alejandro Ribeiro (ACSSC, 2015)

Distributed implementation of linear network operators using graph filters. - Santiago Segarra; Antonio G. Marques; Alejandro Ribeiro (Allerton, 2015)

Real-Time Pricing with uncertain and heterogeneous consumer preferences. - Ceyhun Eksin; Hakan Deliç; Alejandro Ribeiro (ACC, 2015)

Aggregation sampling of graph signals in the presence of noise. - Santiago Segarra; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (CAMSAP, 2015)

Blind identification of graph filters with sparse inputs. - Santiago Segarra; Gonzalo Mateos; Antonio G. Marques; Alejandro Ribeiro (CAMSAP, 2015)

A decentralized prediction-correction method for networked time-varying convex optimization. - Andrea Simonetto; Aryan Mokhtari; Alec Koppel; Geert Leus; Alejandro Ribeiro (CAMSAP, 2015)

Distributed fictitious play in potential games of incomplete information. - Ceyhun Eksin; Alejandro Ribeiro (CDC, 2015)

Control with random access wireless sensors. - Konstantinos Gatsis; Alejandro Ribeiro; George J. Pappas (CDC, 2015)

Online learning of optimal strategies in unknown environments. - Santiago Paternain; Alejandro Ribeiro (CDC, 2015)

Interpolation of graph signals using shift-invariant graph filters. - Santiago Segarra; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (EUSIPCO, 2015)

Persistent homology approximations of network distances. - Weiyu Huang; Alejandro Ribeiro (GlobalSIP, 2015)

Target tracking with dynamic convex optimization. - Alec Koppel; Andrea Simonetto; Aryan Mokhtari; Geert Leus; Alejandro Ribeiro (GlobalSIP, 2015)

Decentralized quadratically approximated alternating direction method of multipliers. - Aryan Mokhtari; Wei Shi 010; Qing Ling 001; Alejandro Ribeiro (GlobalSIP, 2015)

Reconstruction of graph signals: Percolation from a single seeding node. - Santiago Segarra; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (GlobalSIP, 2015)

Rational consumer behavior models in smart pricing. - Ceyhun Eksin; Hakan Deliç; Alejandro Ribeiro (ICASSP, 2015)

Metrics in the space of high order proximity networks. - Weiyu Huang; Alejandro Ribeiro (ICASSP, 2015)

Regret bounds of a distributed saddle point algorithm. - Alec Koppel; Felicia Y. Jakubiec; Alejandro Ribeiro (ICASSP, 2015)

An approximate Newton method for distributed optimization. - Aryan Mokhtari; Qing Ling 001; Alejandro Ribeiro (ICASSP, 2015)

Demand Response with Cooperating Rational Consumers. - Ceyhun Eksin; Hakan Deliç; Alejandro Ribeiro (CoRR, 2015)

Distributed Linear Network Operators using Graph Filters. - Santiago Segarra; Antonio G. Marques; Alejandro Ribeiro (CoRR, 2015)

Global convergence of online limited memory BFGS. - Aryan Mokhtari; Alejandro Ribeiro (J. Mach. Learn. Res., 2015)

Opportunistic Control Over Shared Wireless Channels. - Konstantinos Gatsis; Miroslav Pajic; Alejandro Ribeiro; George J. Pappas (IEEE Trans. Autom. Control., 2015)

Demand Response Management in Smart Grids With Heterogeneous Consumer Preferences. - Ceyhun Eksin; Hakan Deliç; Alejandro Ribeiro (IEEE Trans. Smart Grid, 2015)

Diffusion and Superposition Distances for Signals Supported on Networks. - Santiago Segarra; Weiyu Huang; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2015)

A Saddle Point Algorithm for Networked Online Convex Optimization. - Alec Koppel; Felicia Y. Jakubiec; Alejandro Ribeiro (IEEE Trans. Signal Process., 2015)

DLM: Decentralized Linearized Alternating Direction Method of Multipliers. - Qing Ling 001; Wei Shi 010; Gang Wu 011; Alejandro Ribeiro (IEEE Trans. Signal Process., 2015)

Authorship Attribution Through Function Word Adjacency Networks. - Santiago Segarra; Mark Eisen; Alejandro Ribeiro (IEEE Trans. Signal Process., 2015)

Rethinking sketching as sampling: Linear transforms of graph signals. - Fernando Gama; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (ACSSC, 2016)

Persistent homology lower bounds on distances in the space of networks. - Weiyu Huang; Alejandro Ribeiro (ACSSC, 2016)

Doubly stochastic algorithms for large-scale optimization. - Alec Koppel; Aryan Mokhtari; Alejandro Ribeiro (ACSSC, 2016)

Network topology identification from imperfect spectral templates. - Santiago Segarra; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (ACSSC, 2016)

Interior point method for dynamic constrained optimization in continuous time. - Mahyar Fazlyab; Santiago Paternain; Victor M. Preciado; Alejandro Ribeiro (ACC, 2016)

Doubly random parallel stochastic methods for large scale learning. - Aryan Mokhtari; Alec Koppel; Alejandro Ribeiro (ACC, 2016)

A decentralized quasi-Newton method for dual formulations of consensus optimization. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (CDC, 2016)

Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty. - Ceyhun Eksin; Brian Swenson; Soummya Kar; Alejandro Ribeiro (CDC, 2016)

Self-triggered time-varying convex optimization. - Mahyar Fazlyab; Cameron Nowzari; George J. Pappas; Alejandro Ribeiro; Victor M. Preciado (CDC, 2016)

State-based communication design for wireless control systems. - Konstantinos Gatsis; Alejandro Ribeiro; George J. Pappas (CDC, 2016)

Distributed continuous-time online optimization using saddle-point methods. - Soomin Lee; Alejandro Ribeiro; Michael M. Zavlanos (CDC, 2016)

Online optimization in dynamic environments: Improved regret rates for strongly convex problems. - Aryan Mokhtari; Shahin Shahrampour; Ali Jadbabaie; Alejandro Ribeiro (CDC, 2016)

A decentralized Second-Order Method for Dynamic Optimization. - Aryan Mokhtari; Wei Shi 010; Qing Ling 001; Alejandro Ribeiro (CDC, 2016)

A Quasi-newton prediction-correction method for decentralized dynamic convex optimization. - Andrea Simonetto; Alec Koppel; Aryan Mokhtari; Geert Leus; Alejandro Ribeiro (ECC, 2016)

Near-optimality of greedy set selection in the sampling of graph signals. - Luiz F. O. Chamon; Alejandro Ribeiro (GlobalSIP, 2016)

A data-driven approach to stochastic network optimization. - Tianyi Chen; Aryan Mokhtari; Xin Wang 003; Alejandro Ribeiro; Georgios B. Giannakis (GlobalSIP, 2016)

An asynchronous Quasi-Newton method for consensus optimization. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (GlobalSIP, 2016)

Distributed fictitious play for multi-agent systems with uncertainty. - Ceyhun Eksin; Alejandro Ribeiro (GlobalSIP, 2016)

Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems. - Fernando Garna; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (GlobalSIP, 2016)

Axiomatic hierarchical clustering for intervals of metric distances. - Weiyu Huang; Alejandro Ribeiro (GlobalSIP, 2016)

Decentralized online optimization with heterogeneous data sources. - Alec Koppel; Brian M. Sadler; Alejandro Ribeiro (GlobalSIP, 2016)

Center-weighted median graph filters. - Santiago Segarra; Antonio G. Marques; Gonzalo R. Arce; Alejandro Ribeiro (GlobalSIP, 2016)

Decentralized constrained consensus optimization with primal dual splitting projection. - Han Zhang; Wei Shi 010; Aryan Mokhtari; Alejandro Ribeiro; Qing Ling 001 (GlobalSIP, 2016)

Overlapping clustering of network data using cut metrics. - Fernando Gama; Santiago Segarra; Alejandro Ribeiro (ICASSP, 2016)

Persistent homology lower bounds on network distances. - Weiyu Huang; Alejandro Ribeiro (ICASSP, 2016)

Proximity without consensus in online multi-agent optimization. - Alec Koppel; Brian M. Sadler; Alejandro Ribeiro (ICASSP, 2016)

Diffusion filtering of graph signals and its use in recommendation systems. - Jeremy Ma; Weiyu Huang; Santiago Segarra; Alejandro Ribeiro (ICASSP, 2016)

Space-shift sampling of graph signals. - Santiago Segarra; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (ICASSP, 2016)

Blind identification of graph filters with multiple sparse inputs. - Santiago Segarra; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (ICASSP, 2016)

Linear network operators using node-variant graph filters. - Santiago Segarra; Antonio G. Marques; Alejandro Ribeiro (ICASSP, 2016)

System architectures for communication-aware multi-robot navigation. - James Stephan; Jonathan Fink; Alejandro Ribeiro (ICASSP, 2016)

Control-Aware Random Access Communication. - Konstantinos Gatsis; Alejandro Ribeiro; George J. Pappas (ICCPS, 2016)

Hybrid architecture for communication-aware multi-robot systems. - James Stephan; Jonathan Fink; Vijay Kumar 001; Alejandro Ribeiro (ICRA, 2016)

Stationary graph processes: Nonparametric spectral estimation. - Santiago Segarra; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (SAM, 2016)

Online learning for characterizing unknown environments in ground robotic vehicle models. - Alec Koppel; Jonathan Fink; Garrett Warnell; Ethan Stump; Alejandro Ribeiro (IROS, 2016)

Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy. - Aryan Mokhtari; Hadi Daneshmand; Aurélien Lucchi; Thomas Hofmann 001; Alejandro Ribeiro (NIPS, 2016)

Network topology identification from spectral templates. - Santiago Segarra; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (SSP, 2016)

Excisive Hierarchical Clustering Methods for Network Data. - Gunnar E. Carlsson; Facundo Mémoli; Alejandro Ribeiro; Santiago Segarra (CoRR, 2016)

Distributed Fictitious Play for Optimal Behavior of Multi-Agent Systems with Incomplete Information. - Ceyhun Eksin; Alejandro Ribeiro (CoRR, 2016)

Decentralized Dynamic Discriminative Dictionary Learning. - Alec Koppel; Garrett Warnell; Ethan Stump; Alejandro Ribeiro (CoRR, 2016)

A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning. - Aryan Mokhtari; Alec Koppel; Alejandro Ribeiro (CoRR, 2016)

Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy. - Aryan Mokhtari; Alejandro Ribeiro (CoRR, 2016)

Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information. - Brian Swenson; Ceyhun Eksin; Soummya Kar; Alejandro Ribeiro (CoRR, 2016)

Learning to Coordinate in Social Networks. - Pooya Molavi; Ceyhun Eksin; Alejandro Ribeiro; Ali Jadbabaie (Oper. Res., 2016)

DSA: Decentralized Double Stochastic Averaging Gradient Algorithm. - Aryan Mokhtari; Alejandro Ribeiro (J. Mach. Learn. Res., 2016)

Graph Frequency Analysis of Brain Signals. - Weiyu Huang; Leah Goldsberry; Nicholas F. Wymbs; Scott T. Grafton; Danielle S. Bassett; Alejandro Ribeiro (IEEE J. Sel. Top. Signal Process., 2016)

A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization. - Aryan Mokhtari; Wei Shi 010; Qing Ling 001; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Metrics in the Space of High Order Networks. - Weiyu Huang; Alejandro Ribeiro (IEEE Trans. Signal Process., 2016)

Sampling of Graph Signals With Successive Local Aggregations. - Antonio G. Marques; Santiago Segarra; Geert Leus; Alejandro Ribeiro (IEEE Trans. Signal Process., 2016)

DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers. - Aryan Mokhtari; Wei Shi 010; Qing Ling 001; Alejandro Ribeiro (IEEE Trans. Signal Process., 2016)

Reconstruction of Graph Signals Through Percolation from Seeding Nodes. - Santiago Segarra; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (IEEE Trans. Signal Process., 2016)

Stability and Continuity of Centrality Measures in Weighted Graphs. - Santiago Segarra; Alejandro Ribeiro (IEEE Trans. Signal Process., 2016)

A Class of Prediction-Correction Methods for Time-Varying Convex Optimization. - Andrea Simonetto; Aryan Mokhtari; Alec Koppel; Geert Leus; Alejandro Ribeiro (IEEE Trans. Signal Process., 2016)

A primal-dual Quasi-Newton method for consensus optimization. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (ACSSC, 2017)

Partial embedding distance for networks. - Weiyu Huang; Alejandro Ribeiro (ACSSC, 2017)

A dynamical systems perspective to convergence rate analysis of proximal algorithms. - Mahyar Fazlyab; Alejandro Ribeiro; Manfred Morari; Victor M. Preciado (Allerton, 2017)

Random access policies for wireless networked control systems with energy harvesting sensors. - Miguel Calvo-Fullana; Carles Antón-Haro; Javier Matamoros; Alejandro Ribeiro (ACC, 2017)

A variational approach to dual methods for constrained convex optimization. - Mahyar Fazlyab; Alec Koppel; Victor M. Preciado; Alejandro Ribeiro (ACC, 2017)

Design of weighted median graph filters. - Santiago Segarra; Antonio G. Marques; Gonzalo R. Arce; Alejandro Ribeiro (CAMSAP, 2017)

The mean square error in Kalman filtering sensor selection is approximately supermodular. - Luiz F. O. Chamon; George J. Pappas; Alejandro Ribeiro (CDC, 2017)

Safe online navigation of convex potentials in spaces with convex obstacles. - Santiago Paternain; Alejandro Ribeiro (CDC, 2017)

Collaborative filtering via graph signal processing. - Weiyu Huang; Antonio G. Marques; Alejandro Ribeiro (EUSIPCO, 2017)

Finite-precision effects on graph filters. - Luiz F. O. Chamon; Alejandro Ribeiro (GlobalSIP, 2017)

Distributed estimation of smooth graph power spectral density. - Fernando Gama; Alejandro Ribeiro (GlobalSIP, 2017)

Decentralized efficient nonparametric stochastic optimization. - Alec Koppel; Santiago Paternain; Cédric Richard; Alejandro Ribeiro (GlobalSIP, 2017)

Stochastic backpressure in energy harvesting networks. - Miguel Calvo-Fullana; Javier Matamoros; Carles Antón-Haro; Alejandro Ribeiro (ICASSP, 2017)

Universal bounds for the sampling of graph signals. - Luiz F. O. Chamon; Alejandro Ribeiro (ICASSP, 2017)

Weak law of large numbers for stationary graph processes. - Fernando Gama; Alejandro Ribeiro (ICASSP, 2017)

Brain signal analytics from graph signal processing perspective. - Leah Goldsberry; Weiyu Huang; Nicholas F. Wymbs; Scott T. Grafton; Danielle S. Bassett; Alejandro Ribeiro (ICASSP, 2017)

Axiomatic hierarchical clustering given intervals of metric distances. - Weiyu Huang; Alejandro Ribeiro (ICASSP, 2017)

An incremental quasi-Newton method with a local superlinear convergence rate. - Aryan Mokhtari; Mark Eisen; Alejandro Ribeiro (ICASSP, 2017)

A double incremental aggregated gradient method with linear convergence rate for large-scale optimization. - Aryan Mokhtari; Mert Gürbüzbalaban; Alejandro Ribeiro (ICASSP, 2017)

Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation. - Aryan Mokhtari; Alec Koppel; Gesualdo Scutari; Alejandro Ribeiro (ICASSP, 2017)

Stationary graph processes: Parametric power spectral estimation. - Santiago Segarra; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (ICASSP, 2017)

Robust network topology inference. - Santiago Segarra; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (ICASSP, 2017)

Approximate Supermodularity Bounds for Experimental Design. - Luiz F. O. Chamon; Alejandro Ribeiro (NIPS, 2017)

First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization. - Aryan Mokhtari; Alejandro Ribeiro (NIPS, 2017)

The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain. - Geert Leus; Santiago Segarra; Alejandro Ribeiro; Antonio G. Marques (CoRR, 2017)

Introduction to the IEEE Journal on Selected Topics in Signal Processing and IEEE Transactions on Signal and Information Processing Over Networks Joint Special Issue on Graph Signal Processing. - Pascal Frossard; Pier Luigi Dragotti; Antonio Ortega; Michael G. Rabbat; Alejandro Ribeiro (IEEE J. Sel. Top. Signal Process., 2017)

Introduction to the Issue on Cooperative Signal Processing for Heterogeneous and Multi-Task Wireless Sensor Networks. - Abdelhak M. Zoubir; Jorge Plata-Chaves; Daniel Pérez Palomar; Anna Scaglione; Alejandro Ribeiro (IEEE J. Sel. Top. Signal Process., 2017)

Online Learning of Feasible Strategies in Unknown Environments. - Santiago Paternain; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2017)

Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization. - Andrea Simonetto; Alec Koppel; Aryan Mokhtari; Geert Leus; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2017)

Concurrent Control of Mobility and Communication in Multirobot Systems. - James Stephan; Jonathan Fink; Vijay Kumar 001; Alejandro Ribeiro (IEEE Trans. Robotics, 2017)

Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks. - Gunnar E. Carlsson; Facundo Mémoli; Alejandro Ribeiro; Santiago Segarra (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Cooperative Special Issue on Graph Signal Processing in the IEEE Journal of Selected Topics in Signal Processing and the IEEE Transactions on Signal and Information Processing Over Networks. - Pascal Frossard; Pier Luigi Dragotti; Antonio Ortega; Michael G. Rabbat; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2017)

D4L: Decentralized Dynamic Discriminative Dictionary Learning. - Alec Koppel; Garrett Warnell; Ethan Stump; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Network Topology Inference from Spectral Templates. - Santiago Segarra; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation. - Tianyi Chen; Aryan Mokhtari; Xin Wang 003; Alejandro Ribeiro; Georgios B. Giannakis (IEEE Trans. Signal Process., 2017)

Decentralized Quasi-Newton Methods. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (IEEE Trans. Signal Process., 2017)

Persistent Homology Lower Bounds on High-Order Network Distances. - Weiyu Huang; Alejandro Ribeiro (IEEE Trans. Signal Process., 2017)

Proximity Without Consensus in Online Multiagent Optimization. - Alec Koppel; Brian M. Sadler; Alejandro Ribeiro (IEEE Trans. Signal Process., 2017)

Stationary Graph Processes and Spectral Estimation. - Antonio G. Marques; Santiago Segarra; Geert Leus; Alejandro Ribeiro (IEEE Trans. Signal Process., 2017)

Network Newton Distributed Optimization Methods. - Aryan Mokhtari; Qing Ling 001; Alejandro Ribeiro (IEEE Trans. Signal Process., 2017)

Blind Identification of Graph Filters. - Santiago Segarra; Gonzalo Mateos; Antonio G. Marques; Alejandro Ribeiro (IEEE Trans. Signal Process., 2017)

Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators. - Santiago Segarra; Antonio G. Marques; Alejandro Ribeiro (IEEE Trans. Signal Process., 2017)

Online Deep Learning in Wireless Communication Systems. - Mark Eisen; Clark Zhang; Luiz F. O. Chamon; Daniel D. Lee; Alejandro Ribeiro (ACSSC, 2018)

Decentralized Online Nonparametric Learning. - Alec Koppel; Santiago Paternain; Cédric Richard; Alejandro Ribeiro (ACSSC, 2018)

Locally Adaptive Kernel Estimation Using Sparse Functional Programming. - Maria Peifer; Luiz F. O. Chamon; Santiago Paternain; Alejandro Ribeiro (ACSSC, 2018)

Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (AISTATS, 2018)

Learning in Non-Stationary Wireless Control Systems via Newton's Method. - Mark Eisen; Konstantinos Gatsis; George J. Pappas; Alejandro Ribeiro (ACC, 2018)

Distributed Smooth and Strongly Convex Optimization with Inexact Dual Methods. - Mahyar Fazlyab; Santiago Paternain; Alejandro Ribeiro; Victor M. Preciado (ACC, 2018)

A Prediction-Correction Method for Model Predictive Control. - Santiago Paternain; Manfred Morari; Alejandro Ribeiro (ACC, 2018)

Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. - Ekaterina I. Tolstaya; Alec Koppel; Ethan Stump; Alejandro Ribeiro (ACC, 2018)

Learning Policies for Markov Decision Processes in Continuous Spaces. - Santiago Paternain; Juan Andrés Bazerque; Austin Small; Alejandro Ribeiro (CDC, 2018)

A Newton Method for Faster Navigation in Cluttered Environments. - Santiago Paternain; Aryan Mokhtari; Alejandro Ribeiro (CDC, 2018)

Convolutional Neural Networks via Node-Varying Graph Filters. - Fernando Gama; Geert Leus; Antonio G. Marques; Alejandro Ribeiro (DSW, 2018)

CNN Architectures for Graph Data. - Fernando Gama; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (GlobalSIP, 2018)

Predicting Power Outages Using Graph Neural Networks. - Damian Owerko; Fernando Gama; Alejandro Ribeiro (GlobalSIP, 2018)

Strong Duality of Sparse Functional Optimization. - Luiz F. O. Chamon; Yonina C. Eldar; Alejandro Ribeiro (ICASSP, 2018)

Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems. - Mark Eisen; Konstantinos Gatsis; George J. Pappas; Alejandro Ribeiro (ICASSP, 2018)

Control of Graph Signals Over Random Time-Varying Graphs. - Fernando Gama; Elvin Isufi; Geert Leus; Alejandro Ribeiro (ICASSP, 2018)

Graph Signal Processing of Human Brain Imaging Data. - Weiyu Huang; Thomas William Arthur Bolton; John D. Medaglia; Danielle S. Bassett; Alejandro Ribeiro; Dimitri Van De Ville (ICASSP, 2018)

Matrix Completion as Graph Bandlimited Reconstruction. - Weiyu Huang; Antonio G. Marques; Alejandro Ribeiro (ICASSP, 2018)

Parallel Stochastic Successive Convex Approximation Method for Large-Scale Dictionary Learning. - Alec Koppel; Aryan Mokhtari; Alejandro Ribeiro (ICASSP, 2018)

Learning Sample-Efficient Target Reaching for Mobile Robots. - Arbaaz Khan; Vijay Kumar 001; Alejandro Ribeiro (IROS, 2018)

Composable Learning with Sparse Kernel Representations. - Ekaterina I. Tolstaya; Ethan Stump; Alec Koppel; Alejandro Ribeiro (IROS, 2018)

Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels. - Mark Eisen; Konstantinos Gatsis; George J. Pappas; Alejandro Ribeiro (SPAWC, 2018)

MIMO Graph Filters for Convolutional Neural Networks. - Fernando Gama; Antonio G. Marques; Alejandro Ribeiro; Geert Leus (SPAWC, 2018)

Hierarchical clustering of asymmetric networks. - Gunnar E. Carlsson; Facundo Mémoli; Alejandro Ribeiro; Santiago Segarra (Adv. Data Anal. Classif., 2018)

Random access design for wireless control systems. - Konstantinos Gatsis; Alejandro Ribeiro; George J. Pappas (Autom., 2018)

Convolutional Neural Networks Architectures for Signals Supported on Graphs. - Fernando Gama; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (CoRR, 2018)

Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients. - Arbaaz Khan; Clark Zhang; Daniel D. Lee; Vijay Kumar 001; Alejandro Ribeiro (CoRR, 2018)

Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series. - Weiyu Huang; Yunlong Wang 001; Li Zhou; Emily Zhao; Yilian Yuan; Alejandro Ribeiro (CoRR, 2018)

Stylometric analysis of Early Modern period English plays. - Mark Eisen; Alejandro Ribeiro; Santiago Segarra; Gabriel Egan (Digit. Scholarsh. Humanit., 2018)

A Graph Signal Processing Perspective on Functional Brain Imaging. - Weiyu Huang; Thomas William Arthur Bolton; John D. Medaglia; Danielle S. Bassett; Alejandro Ribeiro; Dimitri Van De Ville (Proc. IEEE, 2018)

Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems. - Mahyar Fazlyab; Alejandro Ribeiro; Manfred Morari; Victor M. Preciado (SIAM J. Optim., 2018)

IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate. - Aryan Mokhtari; Mark Eisen; Alejandro Ribeiro (SIAM J. Optim., 2018)

Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate. - Aryan Mokhtari; Mert Gürbüzbalaban; Alejandro Ribeiro (SIAM J. Optim., 2018)

Distributed Fictitious Play for Multiagent Systems in Uncertain Environments. - Ceyhun Eksin; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2018)

Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization. - Mahyar Fazlyab; Santiago Paternain; Victor M. Preciado; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2018)

Navigation Functions for Convex Potentials in a Space With Convex Obstacles. - Santiago Paternain; Daniel E. Koditschek; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2018)

Distributed Inertial Best-Response Dynamics. - Brian Swenson; Ceyhun Eksin; Soummya Kar; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2018)

Demand Response With Communicating Rational Consumers. - Ceyhun Eksin; Hakan Deliç; Alejandro Ribeiro (IEEE Trans. Smart Grid, 2018)

Hierarchical Overlapping Clustering of Network Data Using Cut Metrics. - Fernando Gama; Santiago Segarra; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks. - Miguel Calvo-Fullana; Carles Antón-Haro; Javier Matamoros; Alejandro Ribeiro (IEEE Trans. Signal Process., 2018)

Greedy Sampling of Graph Signals. - Luiz F. O. Chamon; Alejandro Ribeiro (IEEE Trans. Signal Process., 2018)

Rating Prediction via Graph Signal Processing. - Weiyu Huang; Antonio G. Marques; Alejandro Ribeiro (IEEE Trans. Signal Process., 2018)

Network Comparison: Embeddings and Interiors. - Weiyu Huang; Alejandro Ribeiro (IEEE Trans. Signal Process., 2018)

Hierarchical Clustering Given Confidence Intervals of Metric Distances. - Weiyu Huang; Alejandro Ribeiro (IEEE Trans. Signal Process., 2018)

Decentralized Online Learning With Kernels. - Alec Koppel; Santiago Paternain; Cédric Richard; Alejandro Ribeiro (IEEE Trans. Signal Process., 2018)

Multi-mode Autonomous Communication Systems. - Miguel Calvo-Fullana; Fikadu T. Dagefu; Brian M. Sadler; Alejandro Ribeiro (ACSSC, 2019)

Learning Gaussian Processes with Bayesian Posterior Optimization. - Luiz F. O. Chamon; Santiago Paternain; Alejandro Ribeiro (ACSSC, 2019)

Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. - Mario Coutino; Elvin Isufi; Fernando Gama; Alejandro Ribeiro; Geert Leus (ACSSC, 2019)

Convolutional Graph Neural Networks. - Fernando Gama; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (ACSSC, 2019)

Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces. - Juan Cerviño; Juan Andrés Bazerque; Miguel Calvo-Fullana; Alejandro Ribeiro (ACC, 2019)

A Prediction-Correction Primal-Dual Algorithm for Distributed Optimization. - Santiago Paternain; Mahyar Fazlyab; Victor M. Preciado; Alejandro Ribeiro (ACC, 2019)

Model Predictive Selection: A Receding Horizon Scheme for Actuator Selection. - Vinícius Lima Silva; Luiz F. O. Chamon; Alejandro Ribeiro (ACC, 2019)

Matroid-Constrained Approximately Supermodular Optimization for Near-Optimal Actuator Scheduling. - Luiz F. O. Chamon; Alexandre Amice; Alejandro Ribeiro (CDC, 2019)

Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces. - Santiago Paternain; Juan Andrés Bazerque; Austin Small; Alejandro Ribeiro (CDC, 2019)

Learning Safe Policies via Primal-Dual Methods. - Santiago Paternain; Miguel Calvo-Fullana; Luiz F. O. Chamon; Alejandro Ribeiro (CDC, 2019)

Constrained Online Learning in Networks with Sublinear Regret and Fit. - Santiago Paternain; Soomin Lee; Michael M. Zavlanos; Alejandro Ribeiro (CDC, 2019)

Real-Time Model Predictive Control Based on Prediction-Correction Algorithms. - Santiago Paternain; Manfred Morari; Alejandro Ribeiro (CDC, 2019)

Graph Policy Gradients for Large Scale Robot Control. - Arbaaz Khan; Ekaterina I. Tolstaya; Alejandro Ribeiro; Vijay Kumar 001 (CoRL, 2019)

Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. - Ekaterina I. Tolstaya; Fernando Gama; James Paulos; George J. Pappas; Vijay Kumar 001; Alejandro Ribeiro (CoRL, 2019)

Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. - Elvin Isufi; Fernando Gama; Alejandro Ribeiro (EUSIPCO, 2019)

Gated Graph Convolutional Recurrent Neural Networks. - Luana Ruiz; Fernando Gama; Alejandro Ribeiro (EUSIPCO, 2019)

Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems. - Zhan Gao; Mark Eisen; Alejandro Ribeiro (GLOBECOM, 2019)

Sparse Recovery over Nonlinear Dictionaries. - Luiz F. O. Chamon; Yonina C. Eldar; Alejandro Ribeiro (ICASSP, 2019)

Control Aware Communication Design for Time Sensitive Wireless Systems. - Mark Eisen; Mohammad M. Rashid; Konstantinos Gatsis; Dave Cavalcanti 001; Nageen Himayat; Alejandro Ribeiro (ICASSP, 2019)

Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. - Mark Eisen; Clark Zhang; Luiz F. O. Chamon; Daniel D. Lee; Alejandro Ribeiro (ICASSP, 2019)

Aggregation Graph Neural Networks. - Fernando Gama; Antonio G. Marques; Alejandro Ribeiro; Geert Leus (ICASSP, 2019)

Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models. - Maria Peifer; Luiz F. O. Chamon; Santiago Paternain; Alejandro Ribeiro (ICASSP, 2019)

Median Activation Functions for Graph Neural Networks. - Luana Ruiz; Fernando Gama; Antonio G. Marques; Alejandro Ribeiro (ICASSP, 2019)

Diffusion Scattering Transforms on Graphs. - Fernando Gama; Alejandro Ribeiro; Joan Bruna (ICLR (Poster), 2019)

Hessian Aided Policy Gradient. - Zebang Shen; Alejandro Ribeiro; Hamed Hassani; Hui Qian 001; Chao Mi (ICML, 2019)

Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. - Arbaaz Khan; Chi Zhang; Shuo Li; Jiayue Wu; Brent Schlotfeldt; Sarah Y. Tang; Alejandro Ribeiro; Osbert Bastani; Vijay Kumar 001 (IROS, 2019)

Inverse Optimal Planning for Air Traffic Control. - Ekaterina I. Tolstaya; Alejandro Ribeiro; Vijay Kumar 001; Ashish Kapoor (IROS, 2019)

Stability of Graph Scattering Transforms. - Fernando Gama; Alejandro Ribeiro; Joan Bruna (NeurIPS, 2019)

Constrained Reinforcement Learning Has Zero Duality Gap. - Santiago Paternain; Luiz F. O. Chamon; Miguel Calvo-Fullana; Alejandro Ribeiro (NeurIPS, 2019)

Large Scale Wireless Power Allocation with Graph Neural Networks. - Mark Eisen; Alejandro Ribeiro (SPAWC, 2019)

Modeling mmWave Channels in High-Fidelity Simulations of Unmanned Aerial Systems. - Tanmay Ram Godbole; Miguel Calvo-Fullana; Alexander Pyattaev; Daniel Mox; Sergey Andreev 001; Alejandro Ribeiro; Mikko Valkama (SPAWC, 2019)

Learning Task Agnostic Sufficiently Accurate Models. - Clark Zhang; Arbaaz Khan; Santiago Paternain; Vijay Kumar 001; Alejandro Ribeiro (CoRR, 2019)

Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints. - Arbaaz Khan; Vijay Kumar 001; Alejandro Ribeiro (CoRR, 2019)

Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient. - Vinícius Lima 002; Mark Eisen; Konstantinos Gatsis; Alejandro Ribeiro (CoRR, 2019)

A Prediction-Correction Algorithm for Real-Time Model Predictive Control. - Santiago Paternain; Manfred Morari; Alejandro Ribeiro (CoRR, 2019)

Risk-Aware MMSE Estimation. - Dionysios S. Kalogerias; Luiz F. O. Chamon; George J. Pappas; Alejandro Ribeiro (CoRR, 2019)

Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems. - Mark Eisen; Mohammad M. Rashid; Konstantinos Gatsis; Dave Cavalcanti 001; Nageen Himayat; Alejandro Ribeiro (IEEE Internet Things J., 2019)

Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. - Alec Koppel; Garrett Warnell; Ethan Stump; Alejandro Ribeiro (J. Mach. Learn. Res., 2019)

A Newton-Based Method for Nonconvex Optimization with Fast Evasion of Saddle Points. - Santiago Paternain; Aryan Mokhtari; Alejandro Ribeiro (SIAM J. Optim., 2019)

Connecting the Dots: Identifying Network Structure via Graph Signal Processing. - Gonzalo Mateos; Santiago Segarra; Antonio G. Marques; Alejandro Ribeiro (IEEE Signal Process. Mag., 2019)

Learning in Wireless Control Systems Over Nonstationary Channels. - Mark Eisen; Konstantinos Gatsis; George J. Pappas; Alejandro Ribeiro (IEEE Trans. Signal Process., 2019)

A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization. - Mark Eisen; Aryan Mokhtari; Alejandro Ribeiro (IEEE Trans. Signal Process., 2019)

Learning Optimal Resource Allocations in Wireless Systems. - Mark Eisen; Clark Zhang; Luiz F. O. Chamon; Daniel D. Lee; Alejandro Ribeiro (IEEE Trans. Signal Process., 2019)

Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs. - Fernando Gama; Elvin Isufi; Alejandro Ribeiro; Geert Leus (IEEE Trans. Signal Process., 2019)

Convolutional Neural Network Architectures for Signals Supported on Graphs. - Fernando Gama; Antonio G. Marques; Geert Leus; Alejandro Ribeiro (IEEE Trans. Signal Process., 2019)

Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers. - Fernando Gama; Alejandro Ribeiro (IEEE Trans. Signal Process., 2019)

Decentralized Wireless Resource Allocation with Graph Neural Networks. - Zhiyang Wang; Mark Eisen; Alejandro Ribeiro (ACSSC, 2020)

Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy. - Majid Jahani; Xi He 004; Chenxin Ma; Aryan Mokhtari; Dheevatsa Mudigere; Alejandro Ribeiro; Martin Takác 001 (AISTATS, 2020)

Navigation of a Quadratic Potential with Star Obstacles. - Harshat Kumar; Santiago Paternain; Alejandro Ribeiro (ACC, 2020)

Graph Neural Networks for Decentralized Path Planning. - Qingbiao Li; Fernando Gama; Alejandro Ribeiro; Amanda Prorok (AAMAS, 2020)

Resilient Control: Compromising to Adapt. - Luiz F. O. Chamon; Alexandre Amice; Santiago Paternain; Alejandro Ribeiro (CDC, 2020)

Learning Constrained Resource Allocation Policies in Wireless Control Systems. - Vinícius Lima 002; Mark Eisen; Alejandro Ribeiro (CDC, 2020)

Risk-Constrained Linear-Quadratic Regulators. - Anastasios Tsiamis; Dionysios S. Kalogerias; Luiz F. O. Chamon; Alejandro Ribeiro; George J. Pappas (CDC, 2020)

Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems. - Dionysios S. Kalogerias; Mark Eisen; George J. Pappas; Alejandro Ribeiro (EUSIPCO, 2020)

Graphon Pooling in Graph Neural Networks. - Alejandro Parada-Mayorga; Luana Ruiz; Alejandro Ribeiro (EUSIPCO, 2020)

Graphon Filters: Signal Processing in Very Large Graphs. - Luana Ruiz; Luiz F. O. Chamon; Alejandro Ribeiro (EUSIPCO, 2020)

Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. - Zhan Gao; Mark Eisen; Alejandro Ribeiro (GLOBECOM, 2020)

The Empirical Duality Gap of Constrained Statistical Learning. - Luiz F. O. Chamon; Santiago Paternain; Miguel Calvo-Fullana; Alejandro Ribeiro (ICASSP, 2020)

Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. - Mark Eisen; Alejandro Ribeiro (ICASSP, 2020)

Stability of Graph Neural Networks to Relative Perturbations. - Fernando Gama; Alejandro Ribeiro; Joan Bruna (ICASSP, 2020)

Balancing Rates and Variance via Adaptive Batch-Sizes in First-Order Stochastic Optimization. - Zhan Gao; Alec Koppel; Alejandro Ribeiro (ICASSP, 2020)

Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation. - Dionysios S. Kalogerias; Luiz F. O. Chamon; George J. Pappas; Alejandro Ribeiro (ICASSP, 2020)

A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients. - Dionysios S. Kalogerias; Mark Eisen; George J. Pappas; Alejandro Ribeiro (ICASSP, 2020)

Optimal Power Flow Using Graph Neural Networks. - Damian Owerko; Fernando Gama; Alejandro Ribeiro (ICASSP, 2020)

Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations. - Maria Peifer; Alejandro Ribeiro (ICASSP, 2020)

The Graphon Fourier Transform. - Luana Ruiz; Luiz F. O. Chamon; Alejandro Ribeiro (ICASSP, 2020)

Spatial Gating Strategies for Graph Recurrent Neural Networks. - Luana Ruiz; Fernando Gama; Alejandro Ribeiro (ICASSP, 2020)

Metric Representations of Networks: A Uniqueness Result. - Santiago Segarra; T. Mitchell Roddenberry; Facundo Mémoli; Alejandro Ribeiro (ICASSP, 2020)

Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning. - Mark Eisen; Mohammad M. Rashid; Dave Cavalcanti 001; Alejandro Ribeiro (ICC Workshops, 2020)

Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks. - Mark Eisen; Mohammad M. Rashid; Alejandro Ribeiro; Dave Cavalcanti 001 (ICC, 2020)

Mobile Wireless Network Infrastructure on Demand. - Daniel Mox; Miguel Calvo-Fullana; Mikhail Gerasimenko; Jonathan Fink; Vijay Kumar 001; Alejandro Ribeiro (ICRA, 2020)

Sufficiently Accurate Model Learning. - Clark Zhang; Arbaaz Khan; Santiago Paternain; Alejandro Ribeiro (ICRA, 2020)

Graph Neural Networks for Decentralized Multi-Robot Path Planning. - Qingbiao Li; Fernando Gama; Alejandro Ribeiro; Amanda Prorok (IROS, 2020)

Counterfactual Programming for Optimal Control. - Luiz F. O. Chamon; Santiago Paternain; Alejandro Ribeiro (L4DC, 2020)

Graph-Adaptive Activation Functions for Graph Neural Networks. - Bianca Iancu; Luana Ruiz; Alejandro Ribeiro; Elvin Isufi (MLSP, 2020)

Probably Approximately Correct Constrained Learning. - Luiz F. O. Chamon; Alejandro Ribeiro (NeurIPS, 2020)

Graphon Neural Networks and the Transferability of Graph Neural Networks. - Luana Ruiz; Luiz F. O. Chamon; Alejandro Ribeiro (NeurIPS, 2020)

Sinkhorn Barycenter via Functional Gradient Descent. - Zebang Shen; Zhenfu Wang; Alejandro Ribeiro; Hamed Hassani (NeurIPS, 2020)

Sinkhorn Natural Gradient for Generative Models. - Zebang Shen; Zhenfu Wang; Alejandro Ribeiro; Hamed Hassani (NeurIPS, 2020)

Wireless Power Control via Counterfactual Optimization of Graph Neural Networks. - Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (SPAWC, 2020)

Resource Allocation in Wireless Control Systems via Deep Policy Gradient. - Vinícius Lima 002; Mark Eisen; Konstantinos Gatsis; Alejandro Ribeiro (SPAWC, 2020)

VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms. - Ting-Kuei Hu; Fernando Gama; Zhangyang Wang; Alejandro Ribeiro; Brian M. Sadler (CoRR, 2020)

Mobile Wireless Network Infrastructure on Demand. - Daniel Mox; Miguel Calvo-Fullana; Jonathan Fink; Vijay Kumar 001; Alejandro Ribeiro (CoRR, 2020)

Graphs, Convolutions, and Neural Networks. - Fernando Gama; Elvin Isufi; Geert Leus; Alejandro Ribeiro (CoRR, 2020)

Graph Neural Networks for Motion Planning. - Arbaaz Khan; Alejandro Ribeiro; Vijay Kumar 001; Anthony G. Francis (CoRR, 2020)

Zeroth-order Deterministic Policy Gradient. - Harshat Kumar; Dionysios S. Kalogerias; George J. Pappas; Alejandro Ribeiro (CoRR, 2020)

Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks. - Zhan Gao; Mark Eisen; Alejandro Ribeiro (CoRR, 2020)

Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples. - Juan Cerviño; Harshat Kumar; Alejandro Ribeiro (CoRR, 2020)

Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes. - Santiago Paternain; Juan Andrés Bazerque; Alejandro Ribeiro (CoRR, 2020)

Quiver Signal Processing (QSP). - Alejandro Parada-Mayorga; Hans Riess; Alejandro Ribeiro; Robert Ghrist (CoRR, 2020)

Graph and graphon neural network stability. - Luana Ruiz; Zhiyang Wang; Alejandro Ribeiro (CoRR, 2020)

Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning. - Luiz F. O. Chamon; Santiago Paternain; Alejandro Ribeiro (CoRR, 2020)

Decentralized Control with Graph Neural Networks. - Fernando Gama; Qingbiao Li; Ekaterina I. Tolstaya; Amanda Prorok; Alejandro Ribeiro (CoRR, 2020)

A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning. - Aryan Mokhtari; Alec Koppel; Martin Takác 001; Alejandro Ribeiro (J. Mach. Learn. Res., 2020)

Stochastic Quasi-Newton Methods. - Aryan Mokhtari; Alejandro Ribeiro (Proc. IEEE, 2020)

Rethinking sketching as sampling: A graph signal processing approach. - Fernando Gama; Antonio G. Marques; Gonzalo Mateos; Alejandro Ribeiro (Signal Process., 2020)

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks. - Fernando Gama; Elvin Isufi; Geert Leus; Alejandro Ribeiro (IEEE Signal Process. Mag., 2020)

Stochastic Artificial Potentials for Online Safe Navigation. - Santiago Paternain; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2020)

Random Access Communication for Wireless Control Systems With Energy Harvesting Sensors. - Miguel Calvo-Fullana; Carles Antón-Haro; Javier Matamoros; Alejandro Ribeiro (IEEE Trans. Signal Process., 2020)

Functional Nonlinear Sparse Models. - Luiz F. O. Chamon; Yonina C. Eldar; Alejandro Ribeiro (IEEE Trans. Signal Process., 2020)

Stability Properties of Graph Neural Networks. - Fernando Gama; Joan Bruna; Alejandro Ribeiro (IEEE Trans. Signal Process., 2020)

Model-Free Learning of Optimal Ergodic Policies in Wireless Systems. - Dionysios S. Kalogerias; Mark Eisen; George J. Pappas; Alejandro Ribeiro (IEEE Trans. Signal Process., 2020)

Distributed Constrained Online Learning. - Santiago Paternain; Soomin Lee; Michael M. Zavlanos; Alejandro Ribeiro (IEEE Trans. Signal Process., 2020)

Sparse Multiresolution Representations With Adaptive Kernels. - Maria Peifer; Luiz F. O. Chamon; Santiago Paternain; Alejandro Ribeiro (IEEE Trans. Signal Process., 2020)

Invariance-Preserving Localized Activation Functions for Graph Neural Networks. - Luana Ruiz; Fernando Gama; Antonio Garcia Marques; Alejandro Ribeiro (IEEE Trans. Signal Process., 2020)

Gated Graph Recurrent Neural Networks. - Luana Ruiz; Fernando Gama; Alejandro Ribeiro (IEEE Trans. Signal Process., 2020)

Transferable Graph Neural Networks on Large-Scale Stochastic Graphs. - Luana Ruiz; Luiz F. O. Chamon; Alejandro Ribeiro (ACSCC, 2021)

Source Seeking in Unknown Environments with Convex Obstacles. - Bruno Augusto Angélico; Luiz F. O. Chamon; Santiago Paternain; Alejandro Ribeiro; George J. Pappas (ACC, 2021)

Multi-task Supervised Learning via Cross-learning. - Juan Cerviño; Juan Andrés Bazerque; Miguel Calvo-Fullana; Alejandro Ribeiro (EUSIPCO, 2021)

Stability of Spherical Convolutional Neural Networks to Rotation Diffeomorphisms. - Zhan Gao; Fernando Gama; Alejandro Ribeiro (EUSIPCO, 2021)

Stability of Neural Networks on Riemannian Manifolds. - Zhiyang Wang; Luana Ruiz; Alejandro Ribeiro (EUSIPCO, 2021)

Graph Neural Networks for Decentralized Controllers. - Fernando Gama; Ekaterina I. Tolstaya; Alejandro Ribeiro (ICASSP, 2021)

Variance-Constrained Learning for Stochastic Graph Neural Networks. - Zhan Gao; Elvin Isufi; Alejandro Ribeiro (ICASSP, 2021)

Wide and Deep Graph Neural Networks with Distributed Online Learning. - Zhan Gao; Alejandro Ribeiro; Fernando Gama (ICASSP, 2021)

VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. - Ting-Kuei Hu; Fernando Gama; Tianlong Chen 001; Zhangyang Wang; Alejandro Ribeiro; Brian M. Sadler (ICASSP, 2021)

Stability of Algebraic Neural Networks to Small Perturbations. - Alejandro Parada-Mayorga; Alejandro Ribeiro (ICASSP, 2021)

Discriminability of Single-Layer Graph Neural Networks. - Samuel Pfrommer; Alejandro Ribeiro; Fernando Gama (ICASSP, 2021)

Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. - Luana Ruiz; Fernando Gama; Alejandro Ribeiro; Elvin Isufi (ICASSP, 2021)

Graphon and Graph Neural Network Stability. - Luana Ruiz; Zhiyang Wang; Alejandro Ribeiro (ICASSP, 2021)

Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks. - Zhiyang Wang; Mark Eisen; Alejandro Ribeiro (ICASSP, 2021)

Learning Connectivity for Data Distribution in Robot Teams. - Ekaterina I. Tolstaya; Landon Butler; Daniel Mox; James Paulos; Vijay Kumar 001; Alejandro Ribeiro (IROS, 2021)

Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. - Ekaterina I. Tolstaya; James Paulos; Vijay Kumar 001; Alejandro Ribeiro (IROS, 2021)

Actor-only Deterministic Policy Gradient via Zeroth-order Gradient Oracles in Action Space. - Harshat Kumar; Dionysios S. Kalogerias; George J. Pappas; Alejandro Ribeiro (ISIT, 2021)

Adversarial Robustness with Semi-Infinite Constrained Learning. - Alexander Robey; Luiz F. O. Chamon; George J. Pappas; Hamed Hassani; Alejandro Ribeiro (NeurIPS, 2021)

Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas. - Miguel Calvo-Fullana; Alexander Pyattaev; Daniel Mox; Sergey Andreev 001; Alejandro Ribeiro (IEEE Commun. Mag., 2021)

Sufficiently Accurate Model Learning for Planning. - Clark Zhang; Santiago Paternain; Alejandro Ribeiro (CoRR, 2021)

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. - Lifeng Zhou; Vishnu D. Sharma; Qingbiao Li; Amanda Prorok; Alejandro Ribeiro; Vijay Kumar 001 (CoRR, 2021)

Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping. - Zhan Gao; Subhrajit Bhattacharya; Leiming Zhang; Rick S. Blum; Alejandro Ribeiro; Brian M. Sadler (CoRR, 2021)

Increase and Conquer: Training Graph Neural Networks on Growing Graphs. - Juan Cerviño; Luana Ruiz; Alejandro Ribeiro (CoRR, 2021)

Stability of Manifold Neural Networks to Deformations. - Zhiyang Wang; Luana Ruiz; Alejandro Ribeiro (CoRR, 2021)

Convolutional Filtering and Neural Networks with Non Commutative Algebras. - Alejandro Parada-Mayorga; Alejandro Ribeiro (CoRR, 2021)

Graph Neural Networks: Architectures, Stability, and Transferability. - Luana Ruiz; Fernando Gama; Alejandro Ribeiro (Proc. IEEE, 2021)

ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators. - Miguel Calvo-Fullana; Daniel Mox; Alexander Pyattaev; Jonathan Fink; Vijay Kumar 001; Alejandro Ribeiro (IEEE Robotics Autom. Lett., 2021)

Large Scale Distributed Collaborative Unlabeled Motion Planning With Graph Policy Gradients. - Arbaaz Khan; Vijay Kumar 001; Alejandro Ribeiro (IEEE Robotics Autom. Lett., 2021)

Stability of graph convolutional neural networks to stochastic perturbations. - Zhan Gao; Elvin Isufi; Alejandro Ribeiro (Signal Process., 2021)

Approximate Supermodularity of Kalman Filter Sensor Selection. - Luiz F. O. Chamon; George J. Pappas; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2021)

Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference. - Alec Koppel; Garrett Warnell; Ethan Stump; Peter Stone 001; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2021)

Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. - Santiago Paternain; Juan Andrés Bazerque; Austin Small; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2021)

Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning. - Juan Cerviño; Juan Andrés Bazerque; Miguel Calvo-Fullana; Alejandro Ribeiro (IEEE Trans. Signal Process., 2021)

Stochastic Graph Neural Networks. - Zhan Gao; Elvin Isufi; Alejandro Ribeiro (IEEE Trans. Signal Process., 2021)

Algebraic Neural Networks: Stability to Deformations. - Alejandro Parada-Mayorga; Alejandro Ribeiro (IEEE Trans. Signal Process., 2021)

Graphon Signal Processing. - Luana Ruiz; Luiz F. O. Chamon; Alejandro Ribeiro (IEEE Trans. Signal Process., 2021)

Convolutional Neural Networks on Manifolds: From Graphs and Back. - Zhiyang Wang; Luana Ruiz; Alejandro Ribeiro (IEEECONF, 2022)

Self-Consistency of the Fokker Planck Equation. - Zebang Shen; Zhenfu Wang; Satyen Kale; Alejandro Ribeiro; Amin Karbasi; Hamed Hassani (COLT, 2022)

Training Stable Graph Neural Networks Through Constrained Learning. - Juan Cerviño; Luana Ruiz; Alejandro Ribeiro (ICASSP, 2022)

Adaptive Wireless Power Allocation with Graph Neural Networks. - Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (ICASSP, 2022)

Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. - Zhiyang Wang; Luana Ruiz; Mark Eisen; Alejandro Ribeiro (ICASSP, 2022)

Stability of Neural Networks on Manifolds to Relative Perturbations. - Zhiyang Wang; Luana Ruiz; Alejandro Ribeiro (ICASSP, 2022)

Space-Time Graph Neural Networks. - Samar Hadou; Charilaos I. Kanatsoulis; Alejandro Ribeiro (ICLR, 2022)

An Agnostic Approach to Federated Learning with Class Imbalance. - Zebang Shen; Juan Cerviño; Hamed Hassani; Alejandro Ribeiro (ICLR, 2022)

Coverage Control in Multi-Robot Systems via Graph Neural Networks. - Walker Gosrich; Siddharth Mayya; Rebecca Li; James Paulos; Mark Yim; Alejandro Ribeiro; Vijay Kumar 001 (ICRA, 2022)

A Lagrangian Duality Approach to Active Learning. - Juan Elenter; Navid Naderializadeh; Alejandro Ribeiro (NeurIPS, 2022)

coVariance Neural Networks. - Saurabh Sihag; Gonzalo Mateos; Corey McMillan; Alejandro Ribeiro (NeurIPS, 2022)

Graph Neural Networks for Decentralized Multi-Robot Target Tracking. - Lifeng Zhou; Vishnu D. Sharma; Qingbiao Li; Amanda Prorok; Alejandro Ribeiro; Pratap Tokekar; Vijay Kumar 001 (SSRR, 2022)

Navigation of a quadratic potential with ellipsoidal obstacles. - Harshat Kumar; Santiago Paternain; Alejandro Ribeiro (Autom., 2022)

Federated Representation Learning via Maximal Coding Rate Reduction. - Juan Cerviño; Navid Naderializadeh; Alejandro Ribeiro (CoRR, 2022)

Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach. - Damian Owerko; Charilaos I. Kanatsoulis; Alejandro Ribeiro; Donald J. Bucci Jr.; Jennifer Bondarchuk (CoRR, 2022)

A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks. - Yigit Berkay Uslu; Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (CoRR, 2022)

Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks. - Elijah S. Lee; Lifeng Zhou; Alejandro Ribeiro; Vijay Kumar 001 (CoRR, 2022)

Stable and Transferable Hyper-Graph Neural Networks. - Mikhail Hayhoe; Hans Riess; Victor M. Preciado; Alejandro Ribeiro (CoRR, 2022)

How the Word Adjacency Network (WAN) works. - Paul Brown; Mark Eisen; Santiago Segarra; Alejandro Ribeiro; Gabriel Egan (Digit. Scholarsh. Humanit., 2022)

EdgeNets: Edge Varying Graph Neural Networks. - Elvin Isufi; Fernando Gama; Alejandro Ribeiro (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning Connectivity-Maximizing Network Configurations. - Daniel Mox; Vijay Kumar 001; Alejandro Ribeiro (IEEE Robotics Autom. Lett., 2022)

Spherical convolutional neural networks: Stability to perturbations in SO(3). - Zhan Gao; Fernando Gama; Alejandro Ribeiro (Signal Process., 2022)

Model-Free design of control systems over wireless fading channels. - Vinícius Lima 002; Mark Eisen; Konstantinos Gatsis; Alejandro Ribeiro (Signal Process., 2022)

Approximately Supermodular Scheduling Subject to Matroid Constraints. - Luiz F. O. Chamon; Alexandre Amice; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2022)

Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes. - Santiago Paternain; Juan Andrés Bazerque; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2022)

Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications. - Zhan Gao; Mark Eisen; Alejandro Ribeiro (IEEE Trans. Commun., 2022)

Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. - Ting-Kuei Hu; Fernando Gama; Tianlong Chen 001; Wenqing Zheng; Zhangyang Wang; Alejandro Ribeiro; Brian M. Sadler (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. - Fernando Gama; Qingbiao Li; Ekaterina I. Tolstaya; Amanda Prorok; Alejandro Ribeiro (IEEE Trans. Signal Process., 2022)

Wide and Deep Graph Neural Network With Distributed Online Learning. - Zhan Gao; Fernando Gama; Alejandro Ribeiro (IEEE Trans. Signal Process., 2022)

Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems. - Zhan Gao; Alec Koppel; Alejandro Ribeiro (IEEE Trans. Signal Process., 2022)

State-Augmented Learnable Algorithms for Resource Management in Wireless Networks. - Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (IEEE Trans. Signal Process., 2022)

Learning Decentralized Wireless Resource Allocations With Graph Neural Networks. - Zhiyang Wang; Mark Eisen; Alejandro Ribeiro (IEEE Trans. Signal Process., 2022)

Solving Large-Scale Spatial Problems with Convolutional Neural Networks. - Damian Owerko; Charilaos I. Kanatsoulis; Alejandro Ribeiro (ACSSC, 2023)

Convergence of Graph Neural Networks on Relatively Sparse Graphs. - Zhiyang Wang; Luana Ruiz; Alejandro Ribeiro (ACSSC, 2023)

Multi-Target Tracking with Transferable Convolutional Neural Networks. - Damian Owerko; Charilaos I. Kanatsoulis; Jennifer Bondarchuk; Donald J. Bucci; Alejandro Ribeiro (CAMSAP, 2023)

Navigation with Shadow Prices to Optimize Multi-Commodity Flow Rates. - Ignacio Boero; Igor Spasojevic; Mariana del Castillo; George J. Pappas; Vijay Kumar 001; Alejandro Ribeiro (CDC, 2023)

Parametric Dictionary Learning for Topological Signal Representation. - Claudio Battiloro; Paolo Di Lorenzo; Alejandro Ribeiro (EUSIPCO, 2023)

Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back. - Claudio Battiloro; Zhiyang Wang; Hans Riess; Paolo Di Lorenzo; Alejandro Ribeiro (ICASSP, 2023)

Learning with Multigraph Convolutional Filters. - Landon Butler; Alejandro Parada-Mayorga; Alejandro Ribeiro (ICASSP, 2023)

Multi-Task Bias-Variance Trade-Off Through Functional Constraints. - Juan Cerviño; Juan Andrés Bazerque; Miguel Calvo-Fullana; Alejandro Ribeiro (ICASSP, 2023)

Training Graph Neural Networks on Growing Stochastic Graphs. - Juan Cerviño; Luana Ruiz; Alejandro Ribeiro (ICASSP, 2023)

Space-Time Graph Neural Networks with Stochastic Graph Perturbations. - Samar Hadou; Charilaos I. Kanatsoulis; Alejandro Ribeiro (ICASSP, 2023)

Neural Networks with Quantization Constraints. - Ignacio Hounie; Juan Elenter; Alejandro Ribeiro (ICASSP, 2023)

Algebraic Convolutional Filters on Lie Group Algebras. - Harshat Kumar; Alejandro Parada-Mayorga; Alejandro Ribeiro (ICASSP, 2023)

Predicting Brain Age Using Transferable Covariance Neural Networks. - Saurabh Sihag; Gonzalo Mateos; Corey McMillan; Alejandro Ribeiro (ICASSP, 2023)

Convolutional Filtering on Sampled Manifolds. - Zhiyang Wang; Luana Ruiz; Alejandro Ribeiro (ICASSP, 2023)

Learning Globally Smooth Functions on Manifolds. - Juan Cerviño; Luiz F. O. Chamon; Benjamin David Haeffele; René Vidal; Alejandro Ribeiro (ICML, 2023)

Automatic Data Augmentation via Invariance-Constrained Learning. - Ignacio Hounie; Luiz F. O. Chamon; Alejandro Ribeiro (ICML, 2023)

Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles. - Igor Spasojevic; Xu Liu 007; Ankit Prabhu; Alejandro Ribeiro; George J. Pappas; Vijay Kumar 001 (IROS, 2023)

Transferable Hypergraph Neural Networks via Spectral Similarity. - Mikhail Hayhoe; Hans Riess; Michael M. Zavlanos; Victor M. Preciado; Alejandro Ribeiro (LoG, 2023)

Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity. - Shubhankar Prashant Patankar; Mathieu Ouellet; Juan Cerviño; Alejandro Ribeiro; Kieran A. Murphy; Danielle S. Bassett (LoG, 2023)

Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. - Dongsheng Ding; Chen-Yu Wei; Kaiqing Zhang; Alejandro Ribeiro (NeurIPS, 2023)

Resilient Constrained Learning. - Ignacio Hounie; Alejandro Ribeiro; Luiz F. O. Chamon (NeurIPS, 2023)

Explainable Brain Age Prediction using coVariance Neural Networks. - Saurabh Sihag; Gonzalo Mateos; Corey McMillan; Alejandro Ribeiro (NeurIPS, 2023)

Active Collaborative Localization in Heterogeneous Robot Teams. - Igor Spasojevic; Xu Liu 007; Alejandro Ribeiro; George J. Pappas; Vijay Kumar 001 (Robotics: Science and Systems, 2023)

Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense. - Elijah S. Lee; Lifeng Zhou; Alejandro Ribeiro; Vijay Kumar 001 (CoRR, 2023)

Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features. - Saurabh Sihag; Gonzalo Mateos; Corey T. McMillan; Alejandro Ribeiro (CoRR, 2023)

Stochastic Unrolled Federated Learning. - Samar Hadou; Navid Naderializadeh; Alejandro Ribeiro (CoRR, 2023)

A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand. - Miguel Calvo-Fullana; Mikhail Gerasimenko; Daniel Mox; Leopoldo Agorio; Mariana del Castillo; Vijay Kumar 001; Alejandro Ribeiro; Juan Andrés Bazerque (CoRR, 2023)

Transferability of Convolutional Neural Networks in Stationary Learning Tasks. - Damian Owerko; Charilaos I. Kanatsoulis; Jennifer Bondarchuk; Donald J. Bucci Jr.; Alejandro Ribeiro (CoRR, 2023)

Asynchronous Perception-Action-Communication with Graph Neural Networks. - Saurav Agarwal; Alejandro Ribeiro; Vijay Kumar 001 (CoRR, 2023)

Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers. - Juan Elenter; Navid Naderializadeh; Tara Javidi; Alejandro Ribeiro (CoRR, 2023)

Network Alignment with Transferable Graph Autoencoders. - Jiashu He; Charilaos I. Kanatsoulis; Alejandro Ribeiro (CoRR, 2023)

Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs. - Shervin Khalafi; Saurabh Sihag; Alejandro Ribeiro (CoRR, 2023)

FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs. - Hesham Mostafa; Adam Grabowski; Md Asadullah Turja; Juan Cerviño; Alejandro Ribeiro; Nageen Himayat (CoRR, 2023)

Learning Graph Structure from Convolutional Mixtures. - Max Wasserman; Saurabh Sihag; Gonzalo Mateos; Alejandro Ribeiro (Trans. Mach. Learn. Res., 2023)

Stability of Aggregation Graph Neural Networks. - Alejandro Parada-Mayorga; Zhiyang Wang; Fernando Gama; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Convolutional Learning on Multigraphs. - Landon Butler; Alejandro Parada-Mayorga; Alejandro Ribeiro (IEEE Trans. Signal Process., 2023)

Learning by Transference: Training Graph Neural Networks on Growing Graphs. - Juan Cerviño; Luana Ruiz; Alejandro Ribeiro (IEEE Trans. Signal Process., 2023)

Learning Resilient Radio Resource Management Policies With Graph Neural Networks. - Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (IEEE Trans. Signal Process., 2023)

Convolutional Filters and Neural Networks With Noncommutative Algebras. - Alejandro Parada-Mayorga; Landon Butler; Alejandro Ribeiro (IEEE Trans. Signal Process., 2023)

Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs. - Alejandro Parada-Mayorga; Zhiyang Wang; Alejandro Ribeiro (IEEE Trans. Signal Process., 2023)

Transferability Properties of Graph Neural Networks. - Luana Ruiz; Luiz F. O. Chamon; Alejandro Ribeiro (IEEE Trans. Signal Process., 2023)

Safe Policies for Reinforcement Learning via Primal-Dual Methods. - Santiago Paternain; Miguel Calvo-Fullana; Luiz F. O. Chamon; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2023)

Constrained Learning With Non-Convex Losses. - Luiz F. O. Chamon; Santiago Paternain; Miguel Calvo-Fullana; Alejandro Ribeiro (IEEE Trans. Inf. Theory, 2023)

On the sample complexity of actor-critic method for reinforcement learning with function approximation. - Harshat Kumar; Alec Koppel; Alejandro Ribeiro (Mach. Learn., 2023)

"I would I had that corporal soundness": Pervez Rizvi's Analysis of the Word Adjacency Network Method of Authorship Attribution. - Gabriel Egan; Mark Eisen; Alejandro Ribeiro; Santiago Segarra (Digit. Scholarsh. Humanit., 2023)

Generalization of Graph Neural Networks: Over Geometric Graphs Sampled from Manifolds. - Zhiyang Wang; Juan Cerviño; Alejandro Ribeiro (IEEECONF, 2024)

Resilient Constrained Reinforcement Learning. - Dongsheng Ding; Zhengyan Huan; Alejandro Ribeiro (AISTATS, 2024)

Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach. - Yigit Berkay Uslu; Roya Doostnejad; Alejandro Ribeiro; Navid Naderializadeh (GLOBECOM, 2024)

EGNN-based Topology Control in Wireless Mobile Infrastructure on Demand with Shared Access Restrictions. - Mariana del Castillo; Alejandro Ribeiro; Federico Larroca (GNNet@CoNEXT, 2024)

State-Augmented Information Routing In Communication Systems With Graph Neural Networks. - Sourajit Das; Navid Naderializadeh; Alejandro Ribeiro (ICASSP, 2024)

Graph Neural Networks are More Powerful than We Think. - Charilaos I. Kanatsoulis; Alejandro Ribeiro (ICASSP, 2024)

Unsupervised Optimal Power Flow Using Graph Neural Networks. - Damian Owerko; Fernando Gama; Alejandro Ribeiro (ICASSP, 2024)

Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations. - Alejandro Parada-Mayorga; Landon Butler; Alejandro Ribeiro (ICASSP, 2024)

Near-Optimal Solutions of Constrained Learning Problems. - Juan Elenter; Luiz F. O. Chamon; Alejandro Ribeiro (ICLR, 2024)

Counting Graph Substructures with Graph Neural Networks. - Charilaos I. Kanatsoulis; Alejandro Ribeiro (ICLR, 2024)

Loss Shaping Constraints for Long-Term Time Series Forecasting. - Ignacio Hounie; Javier Porras-Valenzuela; Alejandro Ribeiro (ICML, 2024)

Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks. - Shervin Khalafi; Saurabh Sihag; Alejandro Ribeiro (ICML, 2024)

Opportunistic Communication in Robot Teams. - Daniel Mox; Kashish Garg; Alejandro Ribeiro; Vijay Kumar 001 (ICRA, 2024)

T-Gae: Transferable Graph Autoencoder for Network Alignment. - Jiashu He; Charilaos I. Kanatsoulis; Alejandro Ribeiro (LoG, 2024)

Constrained Diffusion Models via Dual Training. - Shervin Khalafi; Dongsheng Ding; Alejandro Ribeiro (NeurIPS, 2024)

LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control. - Saurav Agarwal; Ramya Muthukrishnan; Walker Gosrich; Vijay Kumar 001; Alejandro Ribeiro (CoRR, 2024)

Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks. - Saurabh Sihag; Gonzalo Mateos; Alejandro Ribeiro (CoRR, 2024)

Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks. - Xingran Chen; Navid Naderializadeh; Alejandro Ribeiro; Shirin Saeedi Bidokhti (CoRR, 2024)

A Manifold Perspective on the Statistical Generalization of Graph Neural Networks. - Zhiyang Wang; Juan Cerviño; Alejandro Ribeiro (CoRR, 2024)

Generalization of Geometric Graph Neural Networks. - Zhiyang Wang; Juan Cerviño; Alejandro Ribeiro (CoRR, 2024)

Constrained Learning for Decentralized Multi-Objective Coverage Control. - Juan Cerviño; Saurav Agarwal; Vijay Kumar 001; Alejandro Ribeiro (CoRR, 2024)

Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning. - Shreyas Muthusamy; Damian Owerko; Charilaos I. Kanatsoulis; Saurav Agarwal; Alejandro Ribeiro (CoRR, 2024)

ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models. - Liangzu Peng; Juan Elenter; Joshua Agterberg; Alejandro Ribeiro; René Vidal (CoRR, 2024)

LoRTA: Low Rank Tensor Adaptation of Large Language Models. - Ignacio Hounie; Charilaos I. Kanatsoulis; Arnuv Tandon; Alejandro Ribeiro (CoRR, 2024)

GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation. - Jiashu He; Mingyu Derek Ma; Jinxuan Fan; Dan Roth 001; Wei Wang 010; Alejandro Ribeiro (CoRR, 2024)

A reply to Pervez Rizvi's letter. - Gabriel Egan; Mark Eisen; Alejandro Ribeiro; Santiago Segarra (Digit. Scholarsh. Humanit., 2024)

A Networked Multiagent System for Mobile Wireless Infrastructure on Demand. - Miguel Calvo-Fullana; Mikhail Gerasimenko; Daniel Mox; Leopoldo Agorio; Mariana del Castillo; Vijay Kumar 001; Alejandro Ribeiro; Juan Andrés Bazerque (IEEE Trans. Robotics, 2024)

Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back. - Claudio Battiloro; Zhiyang Wang; Hans Riess; Paolo Di Lorenzo; Alejandro Ribeiro (IEEE Trans. Signal Process., 2024)

Robust Stochastically-Descending Unrolled Networks. - Samar Hadou; Navid Naderializadeh; Alejandro Ribeiro (IEEE Trans. Signal Process., 2024)

Lie Group Algebra Convolutional Filters. - Harshat Kumar; Alejandro Parada-Mayorga; Alejandro Ribeiro (IEEE Trans. Signal Process., 2024)

Stability to Deformations of Manifold Filters and Manifold Neural Networks. - Zhiyang Wang; Luana Ruiz; Alejandro Ribeiro (IEEE Trans. Signal Process., 2024)

Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-Offs. - Zhiyang Wang; Luana Ruiz; Alejandro Ribeiro (IEEE Trans. Signal Process., 2024)

State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning With Rewards. - Miguel Calvo-Fullana; Santiago Paternain; Luiz F. O. Chamon; Alejandro Ribeiro (IEEE Trans. Autom. Control., 2024)

Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. - Sergio Rozada; Dongsheng Ding; Antonio G. Marques; Alejandro Ribeiro (AAAI, 2025)

Generalization of Graph Neural Networks Is Robust to Model Mismatch. - Zhiyang Wang; Juan Cerviño; Alejandro Ribeiro (AAAI, 2025)

Feasible Learning. - Juan Ramirez; Ignacio Hounie; Juan Elenter; Jose Gallego-Posada; Meraj Hashemizadeh; Alejandro Ribeiro; Simon Lacoste-Julien (AISTATS, 2025)

State-Augmented Opportunistic Routing in Wireless Communication Systems with Graph Neural Networks. - Sourajit Das; Navid Naderializadeh; Alejandro Ribeiro (ICASSP, 2025)

DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images. - Chen Liu 020; Danqi Liao; Alejandro Parada-Mayorga; Alejandro Ribeiro; Marcello DiStasio; Smita Krishnaswamy (ICASSP, 2025)

Learning Efficient Positional Encodings with Graph Neural Networks. - Charilaos I. Kanatsoulis; Evelyn Choi; Stefanie Jegelka; Jure Leskovec; Alejandro Ribeiro (ICLR, 2025)

LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning. - Liangzu Peng; Juan Elenter; Joshua Agterberg; Alejandro Ribeiro; René Vidal (ICLR, 2025)

Explainable Brain Age Gap Prediction in Neurodegenerative Conditions Using Covariance Neural Networks. - Saurabh Sihag; Gonzalo Mateos; Alejandro Ribeiro (ISBI, 2025)

Linear quadratic control with risk constraints. - Anastasios Tsiamis; Dionysis Kalogerias; Alejandro Ribeiro; George J. Pappas (Autom., 2025)

Distributed Training of Large Graph Neural Networks With Variable Communication Rates. - Juan Cerviño; Md Asadullah Turja; Hesham Mostafa; Nageen Himayat; Alejandro Ribeiro (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Learning State-Augmented Policies for Information Routing in Communication Networks. - Sourajit Das; Navid Naderializadeh; Alejandro Ribeiro (IEEE Trans. Signal Process., 2025)

Convolutional Filtering With RKHS Algebras. - Alejandro Parada-Mayorga; Leopoldo Agorio; Alejandro Ribeiro; Juan Andrés Bazerque (IEEE Trans. Signal Process., 2025)

Sampling and Uniqueness Sets in Graphon Signal Processing. - Alejandro Parada-Mayorga; Alejandro Ribeiro (IEEE Trans. Signal Process., 2025)

Generalization of Geometric Graph Neural Networks With Lipschitz Loss Functions. - Zhiyang Wang; Juan Cerviño; Alejandro Ribeiro (IEEE Trans. Signal Process., 2025)

Learning Efficient Positional Encodings with Graph Neural Networks. - Charilaos I. Kanatsoulis; Evelyn Choi; Stephanie Jegelka; Jure Leskovec; Alejandro Ribeiro (CoRR, 2025)

Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies. - Sourajit Das; Navid Naderializadeh; Rahul Mangharam; Alejandro Ribeiro (CoRR, 2025)

Generative Diffusion Models for Resource Allocation in Wireless Networks. - Yigit Berkay Uslu; Samar Hadou; Shirin Saeedi Bidokhti; Alejandro Ribeiro (CoRR, 2025)

Self-GIVE: Associative Thinking from Limited Structured Knowledge for Enhanced Large Language Model Reasoning. - Jiashu He; Jinxuan Fan; Bowen Jiang; Ignacio Houine; Dan Roth 001; Alejandro Ribeiro (CoRR, 2025)

Alignment of large language models with constrained learning. - Botong Zhang; Shuo Li; Ignacio Hounie; Osbert Bastani; Dongsheng Ding; Alejandro Ribeiro (CoRR, 2025)

Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces. - Antonio Pariente; Ignacio Hounie; Santiago Segarra; Alejandro Ribeiro (CoRR, 2025)

Distilling On-device Language Models for Robot Planning with Minimal Human Intervention. - Zachary Ravichandran; Ignacio Hounie; Fernando Cladera; Alejandro Ribeiro; George J. Pappas; Vijay Kumar 001 (CoRR, 2025)

Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression. - Yigit Berkay Uslu; Navid Naderializadeh; Mark Eisen; Alejandro Ribeiro (CoRR, 2025)