Sensor selection in energy harvesting wireless sensor networks. - Miguel Calvo-Fullana; Javier Matamoros; Carles Antón-Haro (GlobalSIP, 2015)

On the impact of correlated sampling processes in WSNs with energy-neutral operation. - Javier Matamoros; Miguel Calvo-Fullana; Carles Antón-Haro (ICC, 2015)

Decentralized sparsity-promoting sensor selection in energy harvesting wireless sensor networks. - Miguel Calvo-Fullana; Javier Matamoros; Carles Antón-Haro (EUSIPCO, 2016)

Sparsity-promoting sensor selection with energy harvesting constraints. - Miguel Calvo-Fullana; Javier Matamoros; Carles Antón-Haro; Sophie M. Fosson (ICASSP, 2016)

Sensor Selection and Power Allocation Strategies for Energy Harvesting Wireless Sensor Networks. - Miguel Calvo-Fullana; Javier Matamoros; Carles Antón-Haro (IEEE J. Sel. Areas Commun., 2016)

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

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

Reconstruction of Correlated Sources With Energy Harvesting Constraints in Delay-Constrained and Delay-Tolerant Communication Scenarios. - Miguel Calvo-Fullana; Javier Matamoros; Carles Antón-Haro (IEEE Trans. Wirel. Commun., 2017)

Estimation and control in energy harvesting wireless communication networks. - Miguel Calvo-Fullana (2017)

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)

Multi-mode Autonomous Communication Systems. - Miguel Calvo-Fullana; Fikadu T. Dagefu; Brian M. Sadler; 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)

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

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

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

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

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

Towards Safe Continuing Task Reinforcement Learning. - Miguel Calvo-Fullana; Luiz F. O. Chamon; Santiago Paternain (ACC, 2021)

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

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)

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)

Distributed Filtering with Value of Information Censoring. - Miguel Calvo-Fullana; Jonathan P. How (ACC, 2022)

Mission-Aware Value of Information Censoring for Distributed Filtering. - Miguel Calvo-Fullana; Jonathan P. How (CDC, 2022)

Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. - Yulun Tian; Amrit Singh Bedi; Alec Koppel; Miguel Calvo-Fullana; David M. Rosen; Jonathan P. How (IROS, 2022)

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

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)

Multi-agent assignment via state augmented reinforcement learning. - Leopoldo Agorio; Sean Van Alen; Miguel Calvo-Fullana; Santiago Paternain; Juan Andrés Bazerque (L4DC, 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)

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)

Cooperative Multi-Agent Assignment over Stochastic Graphs via Constrained Reinforcement Learning. - Leopoldo Agorio; Sean Van Alen; Santiago Paternain; Miguel Calvo-Fullana; Juan Andrés Bazerque (CoRR, 2025)