Optimal beamforming for range-doppler ambiguity suppression in squinted SAR systems. - Paolo Di Lorenzo; Sergio Barbarossa (CAMSAP, 2011)

Distributed stochastic pricing for sum-rate maximization in femtocell networks with random graph and quantized communications. - Paolo Di Lorenzo; Marco Omilipo; Sergio Barbarossa (CAMSAP, 2011)

Bio-inspired swarming for dynamic radio access based on diffusion adaptation. - Paolo Di Lorenzo; Sergio Barbarossa; Ali H. Sayed (EUSIPCO, 2011)

Bio-inspired swarming models for decentralized radio access incorporating random links and quantized communications. - Paolo Di Lorenzo; Sergio Barbarossa (ICASSP, 2011)

A bio-inspired fast swarming algorithm for dynamic radio access. - Paolo Di Lorenzo; Sergio Barbarossa; Ali H. Sayed (DSP, 2011)

A Bio-Inspired Swarming Algorithm for Decentralized Access in Cognitive Radio. - Paolo Di Lorenzo; Sergio Barbarossa (IEEE Trans. Signal Process., 2011)

Sparse diffusion LMS for distributed adaptive estimation. - Paolo Di Lorenzo; Sergio Barbarossa; Ali H. Sayed (ICASSP, 2012)

Decentralized Resource Assignment in Cognitive Networks Based on Swarming Mechanisms Over Random Graphs. - Paolo Di Lorenzo; Sergio Barbarossa; Ali H. Sayed (IEEE Trans. Signal Process., 2012)

Distributed control of wireless ad-hoc networks connectivity incorporating realistic channel models. - Paolo Di Lorenzo; Sergio Barbarossa (EUSIPCO, 2013)

Computation offloading for mobile cloud computing based on wide cross-layer optimization. - Sergio Barbarossa; Stefania Sardellitti; Paolo Di Lorenzo (Future Network & Mobile Summit, 2013)

Parameter estimation of 2D Polynomial Phase Signals: An application to moving target imaging with SAR. - Sergio Barbarossa; Paolo Di Lorenzo; Pasquale Vecchiarelli; Alessandro Silvi; Alessandro Bruner (ICASSP, 2013)

Decentralized estimation and control of algebraic connectivity of random ad-hoc networks. - Paolo Di Lorenzo; Sergio Barbarossa (ICASSP, 2013)

Joint allocation of computation and communication resources in multiuser mobile cloud computing. - Sergio Barbarossa; Stefania Sardellitti; Paolo Di Lorenzo (SPAWC, 2013)

Distributed Detection and Estimation in Wireless Sensor Networks. - Sergio Barbarossa; Stefania Sardellitti; Paolo Di Lorenzo (CoRR, 2013)

Joint Optimization of Radio Resources and Code Partitioning in Mobile Cloud Computing. - Paolo Di Lorenzo; Sergio Barbarossa; Stefania Sardellitti (CoRR, 2013)

Distributed Spectrum Estimation for Small Cell Networks Based on Sparse Diffusion Adaptation. - Paolo Di Lorenzo; Sergio Barbarossa; Ali H. Sayed (IEEE Signal Process. Lett., 2013)

Swarming Algorithms for Distributed Radio Resource Allocation: A Further Step in the Direction of an Ever-Deeper Synergism Between Biological Mathematical Modeling and Signal Processing. - Paolo Di Lorenzo; Sergio Barbarossa (IEEE Signal Process. Mag., 2013)

Optimal Beamforming for Range-Doppler Ambiguity Minimization in Squinted SAR. - Paolo Di Lorenzo; Sergio Barbarossa; Leonardo Borgarelli (IEEE Trans. Aerosp. Electron. Syst., 2013)

Distributed Sum-Rate Maximization Over Finite Rate Coordination Links Affected by Random Failures. - Paolo Di Lorenzo; Sergio Barbarossa; Marco Omilipo (IEEE Trans. Signal Process., 2013)

Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms Over Adaptive Networks. - Paolo Di Lorenzo; Sergio Barbarossa; Ali H. Sayed (IEEE Trans. Signal Process., 2013)

Sparse Distributed Learning Based on Diffusion Adaptation. - Paolo Di Lorenzo; Ali H. Sayed (IEEE Trans. Signal Process., 2013)

Computation offloading strategies based on energy minimization under computational rate constraints. - Sergio Barbarossa; Paolo Di Lorenzo; Stefania Sardellitti (EuCNC, 2014)

Distributed least mean squares strategies for sparsity-aware estimation over Gaussian Markov random fields. - Paolo Di Lorenzo; Sergio Barbarossa (ICASSP, 2014)

Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks. - Sergio Barbarossa; Stefania Sardellitti; Paolo Di Lorenzo (IEEE Signal Process. Mag., 2014)

Parameter Estimation of 2D Multi-Component Polynomial Phase Signals: An Application to SAR Imaging of Moving Targets. - Sergio Barbarossa; Paolo Di Lorenzo; Pasquale Vecchiarelli (IEEE Trans. Signal Process., 2014)

Diffusion Adaptation Strategies for Distributed Estimation Over Gaussian Markov Random Fields. - Paolo Di Lorenzo (IEEE Trans. Signal Process., 2014)

Distributed Estimation and Control of Algebraic Connectivity Over Random Graphs. - Paolo Di Lorenzo; Sergio Barbarossa (IEEE Trans. Signal Process., 2014)

Uncertainty principle and sampling of signals defined on graphs. - Mikhail Tsitsvero; Sergio Barbarossa; Paolo Di Lorenzo (ACSSC, 2015)

Distributed nonconvex optimization over networks. - Paolo Di Lorenzo; Gesualdo Scutari (CAMSAP, 2015)

Network formation games based on conditional independence graphs. - Sergio Barbarossa; Paolo Di Lorenzo; Mihaela van der Schaar (ICASSP, 2015)

Distributed adaptive learning of signals defined over graphs. - Paolo Di Lorenzo; Paolo Banelli; Sergio Barbarossa; Stefania Sardellitti (ACSSC, 2016)

LMS estimation of signals defined over graphs. - Paolo Di Lorenzo; Sergio Barbarossa; Paolo Banelli; Stefania Sardellitti (EUSIPCO, 2016)

Graph topology inference based on transform learning. - Stefania Sardellitti; Sergio Barbarossa; Paolo Di Lorenzo (GlobalSIP, 2016)

Distributed nonconvex optimization over time-varying networks. - Paolo Di Lorenzo; Gesualdo Scutari (ICASSP, 2016)

Parallel and distributed training of neural networks via successive convex approximation. - Paolo Di Lorenzo; Simone Scardapane (MLSP, 2016)

Least Mean Squares Estimation of Graph Signals. - Paolo Di Lorenzo; Sergio Barbarossa; Paolo Banelli; Stefania Sardellitti (CoRR, 2016)

Distributed semi-supervised support vector machines. - Simone Scardapane; Roberto Fierimonte; Paolo Di Lorenzo; Massimo Panella; Aurelio Uncini (Neural Networks, 2016)

Adaptive Least Mean Squares Estimation of Graph Signals. - Paolo Di Lorenzo; Sergio Barbarossa; Paolo Banelli; Stefania Sardellitti (IEEE Trans. Signal Inf. Process. over Networks, 2016)

NEXT: In-Network Nonconvex Optimization. - Paolo Di Lorenzo; Gesualdo Scutari (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Signals on Graphs: Uncertainty Principle and Sampling. - Mikhail Tsitsvero; Sergio Barbarossa; Paolo Di Lorenzo (IEEE Trans. Signal Process., 2016)

Optimal sampling strategies for adaptive learning of graph signals. - Paolo Di Lorenzo; Paolo Banelli; Sergio Barbarossa (EUSIPCO, 2017)

Distributed recursive least squares strategies for adaptive reconstruction of graph signals. - Paolo Di Lorenzo; Elvin Isufi; Paolo Banelli; Sergio Barbarossa; Geert Leus (EUSIPCO, 2017)

Graph Fourier Transform for directed graphs based on Lovász extension of min-cut. - Stefania Sardellitti; Sergio Barbarossa; Paolo Di Lorenzo (ICASSP, 2017)

On the Graph Fourier Transform for Directed Graphs. - Stefania Sardellitti; Sergio Barbarossa; Paolo Di Lorenzo (IEEE J. Sel. Top. Signal Process., 2017)

A framework for parallel and distributed training of neural networks. - Simone Scardapane; Paolo Di Lorenzo (Neural Networks, 2017)

Distributed Adaptive Learning of Graph Signals. - Paolo Di Lorenzo; Paolo Banelli; Sergio Barbarossa; Stefania Sardellitti (IEEE Trans. Signal Process., 2017)

Observing Bandlimited Graph Processes from Subsampled Measurements. - Elvin Isufi; Paolo Banelli; Paolo Di Lorenzo; Geert Leus (ACSSC, 2018)

Online Recovery of Time- varying Signals Defined over Dynamic Graphs. - Paolo Di Lorenzo; Elena Ceci (EUSIPCO, 2018)

Optimal Power and Bit Allocation for Graph Signal Interpolation. - Paolo Di Lorenzo; Sergio Barbarossa; Paolo Banelli (ICASSP, 2018)

Distributed Wiener-Based Reconstruction of Graph Signals. - Elvin Isufi; Paolo Di Lorenzo; Paolo Banelli; Geert Leus (SSP, 2018)

Stochastic Training of Neural Networks via Successive Convex Approximations. - Simone Scardapane; Paolo Di Lorenzo (IEEE Trans. Neural Networks Learn. Syst., 2018)

Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. - Paolo Di Lorenzo; Paolo Banelli; Elvin Isufi; Sergio Barbarossa; Geert Leus (IEEE Trans. Signal Process., 2018)

Distributed Adaptive Learning of Graph Processes via In-Network Subspace Projections. - Paolo Di Lorenzo; Sergio Barbarossa; Stefania Sardellitti (ACSSC, 2019)

Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. - Paolo Di Lorenzo; Simone Scardapane (ACSSC, 2019)

Network Energy Efficient Mobile Edge Computing with Reliability Guarantees. - Mattia Merluzzi; Nicola di Pietro; Paolo Di Lorenzo; Emilio Calvanese Strinati; Sergio Barbarossa (GLOBECOM, 2019)

Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks. - Paolo Di Lorenzo; Claudio Battiloro; Paolo Banelli; Sergio Barbarossa (ICASSP, 2019)

Distributed Signal Recovery Based on In-network Subspace Projections. - Paolo Di Lorenzo; Sergio Barbarossa; Stefania Sardellitti (ICASSP, 2019)

Dynamic Joint Resource Allocation and User Assignment in Multi-access Edge Computing. - Mattia Merluzzi; Paolo Di Lorenzo; Sergio Barbarossa (ICASSP, 2019)

Latency-Constrained Dynamic Computation Offloading with Energy Harvesting IoT Devices. - Mattia Merluzzi; Paolo Di Lorenzo; Sergio Barbarossa (INFOCOM Workshops, 2019)

Joint Resource Allocation for Latency-Constrained Dynamic Computation Offloading with MEC. - Mattia Merluzzi; Paolo Di Lorenzo; Sergio Barbarossa; Valerio Frascolla (WCNC Workshops, 2019)

Distributed data clustering over networks. - Rosa Altilio; Paolo Di Lorenzo; Massimo Panella (Pattern Recognit., 2019)

Graph Topology Inference Based on Sparsifying Transform Learning. - Stefania Sardellitti; Sergio Barbarossa; Paolo Di Lorenzo (IEEE Trans. Signal Process., 2019)

Distributed Tensor Completion Over Networks. - Claudio Battiloro; Paolo Di Lorenzo (ICASSP, 2020)

Dynamic Resource Optimization and Altitude Selection in Uav-Based Multi-Access Edge Computing. - Francesca Costanzo; Paolo Di Lorenzo; Sergio Barbarossa (ICASSP, 2020)

Dynamic Resource Allocation for Wireless Edge Machine Learning with Latency And Accuracy Guarantees. - Mattia Merluzzi; Paolo Di Lorenzo; Sergio Barbarossa (ICASSP, 2020)

Distributed Graph Convolutional Networks. - Simone Scardapane; Indro Spinelli; Paolo Di Lorenzo (CoRR, 2020)

Observing and tracking bandlimited graph processes from sampled measurements. - Elvin Isufi; Paolo Banelli; Paolo Di Lorenzo; Geert Leus (Signal Process., 2020)

A Joint Markov Model for Communities, Connectivity and Signals Defined Over Graphs. - Stefania Colonnese; Paolo Di Lorenzo; Tiziana Cattai; Gaetano Scarano; Fabrizio de Vico Fallani (IEEE Signal Process. Lett., 2020)

Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications. - Mattia Merluzzi; Paolo Di Lorenzo; Sergio Barbarossa; Valerio Frascolla (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Distributed Signal Processing and Optimization Based on In-Network Subspace Projections. - Paolo Di Lorenzo; Sergio Barbarossa; Stefania Sardellitti (IEEE Trans. Signal Process., 2020)

Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective. - Emilio Calvanese Strinati; George C. Alexandropoulos; Vincenzo Sciancalepore; Marco Di Renzo; Henk Wymeersch; Dinh-Thuy Phan-Huy; Maurizio Crozzoli; Raffaele D'Errico; Elisabeth de Carvalho; Petar Popovski; Paolo Di Lorenzo; Luca Bastianelli; et al. (EuCNC/6G Summit, 2021)

Dynamic Ensemble Inference at the Edge. - Mattia Merluzzi; Alessio Martino; Francesca Costanzo; Paolo Di Lorenzo; Sergio Barbarossa (GLOBECOM, 2021)

Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge. - Paolo Di Lorenzo; Claudio Battiloro; Mattia Merluzzi; Sergio Barbarossa (ICASSP, 2021)

Online Learning of Time-Varying Signals and Graphs. - Stefania Sardellitti; Sergio Barbarossa; Paolo Di Lorenzo (ICASSP, 2021)

Dynamic Mobile Edge Computing empowered by Reconfigurable Intelligent Surfaces. - Paolo Di Lorenzo; Mattia Merluzzi; Emilio Calvanese Strinati (SPAWC, 2021)

Wireless Edge Machine Learning: Resource Allocation and Trade-Offs. - Mattia Merluzzi; Paolo Di Lorenzo; Sergio Barbarossa (IEEE Access, 2021)

Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks. - Claudio Battiloro; Paolo Di Lorenzo; Paolo Banelli; Sergio Barbarossa (IEEE Internet Things J., 2021)

Distributed Training of Graph Convolutional Networks. - Simone Scardapane; Indro Spinelli; Paolo Di Lorenzo (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Dynamic Resource Allocation for Multi-User Goal-oriented Communications at the Wireless Edge. - Francesco Binucci; Paolo Banelli; Paolo Di Lorenzo; Sergio Barbarossa (EUSIPCO, 2022)

Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications. - Mattia Merluzzi; Francesca Costanzo; Konstantinos D. Katsanos; George C. Alexandropoulos; Paolo Di Lorenzo (GLOBECOM, 2022)

Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces. - Claudio Battiloro; Mattia Merluzzi; Paolo Di Lorenzo; Sergio Barbarossa (ICASSP, 2022)

Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning. - Lorenzo Giusti; Claudio Battiloro; Paolo Di Lorenzo; Sergio Barbarossa (ICASSP, 2022)

Goal-Oriented Communication for Edge Learning Based On the Information Bottleneck. - Francesco Pezone; Sergio Barbarossa; Paolo Di Lorenzo (ICASSP, 2022)

Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees. - Mattia Merluzzi; Claudio Battiloro; Paolo Di Lorenzo; Emilio Calvanese Strinati (ICC Workshops, 2022)

Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links. - Fatima Ezzahra Airod; Mattia Merluzzi; Paolo Di Lorenzo; Emilio Calvanese Strinati (SPAWC, 2022)

Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces. - Konstantinos D. Katsanos; Paolo Di Lorenzo; George C. Alexandropoulos (SPAWC, 2022)

Simplicial Attention Neural Networks. - Lorenzo Giusti; Claudio Battiloro; Paolo Di Lorenzo; Stefania Sardellitti; Sergio Barbarossa (CoRR, 2022)

Adaptive resource optimization for edge inference with goal-oriented communications. - Francesco Binucci; Paolo Banelli; Paolo Di Lorenzo; Sergio Barbarossa (EURASIP J. Adv. Signal Process., 2022)

Dynamic edge computing empowered by reconfigurable intelligent surfaces. - Paolo Di Lorenzo; Mattia Merluzzi; Emilio Calvanese Strinati; Sergio Barbarossa (EURASIP J. Wirel. Commun. Netw., 2022)

Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing. - Mattia Merluzzi; Nicola di Pietro; Paolo Di Lorenzo; Emilio Calvanese Strinati; Sergio Barbarossa (IEEE Trans. Green Commun. Netw., 2022)

Control Aspects for Using RIS in Latency-Constrained Mobile Edge Computing. - Fabio Saggese; Victor Croisfelt; Francesca Costanzo; Junya Shiraishi; Radoslaw Kotaba; Paolo Di Lorenzo; Petar Popovski (ACSSC, 2023)

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

Analog versus Digital Pulse Amplitude Modulation for Goal-Oriented Wireless Communications. - Francesco Binucci; Paolo Banelli; Paolo Di Lorenzo; Sergio Barbarossa (EUSIPCO, 2023)

Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes. - Claudio Battiloro; Paolo Di Lorenzo; Sergio Barbarossa (ICASSP, 2023)

Topological Signal Processing Over Weighted Simplicial Complexes. - Claudio Battiloro; Stefania Sardellitti; Sergio Barbarossa; Paolo Di Lorenzo (ICASSP, 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)

Pooling Strategies for Simplicial Convolutional Networks. - Domenico Mattia Cinque; Claudio Battiloro; Paolo Di Lorenzo (ICASSP, 2023)

Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces. - Kyriakos Stylianopoulos; Mattia Merluzzi; Paolo Di Lorenzo; George C. Alexandropoulos (ICASSP, 2023)

Cell Attention Networks. - Lorenzo Giusti; Claudio Battiloro; Lucia Testa; Paolo Di Lorenzo; Stefania Sardellitti; Sergio Barbarossa (IJCNN, 2023)

Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting. - Francesco Binucci; Mattia Merluzzi; Paolo Banelli; Emilio Calvanese Strinati; Paolo Di Lorenzo (ISWCS, 2023)

In Band Network Telemetry Overhead Reduction Based on Data Flows Sampling and Recovering. - Stefania Sardellitti; Marco Polverini; Sergio Barbarossa; Antonio Cianfrani; Paolo Di Lorenzo; Marco Listanti (NetSoft, 2023)

Multiscale Causal Structure Learning. - Gabriele D'Acunto; Paolo Di Lorenzo; Sergio Barbarossa (Trans. Mach. Learn. Res., 2023)

Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning. - Claudio Battiloro; Paolo Di Lorenzo; Mattia Merluzzi; Sergio Barbarossa (IEEE Trans. Green Commun. Netw., 2023)

Semantic Communications Based on Adaptive Generative Models and Information Bottleneck. - Sergio Barbarossa; Danilo Comminiello; Eleonora Grassucci; Francesco Pezone; Stefania Sardellitti; Paolo Di Lorenzo (IEEE Commun. Mag., 2023)

RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence. - George C. Alexandropoulos; Dinh-Thuy Phan-Huy; Konstantinos D. Katsanos; Maurizio Crozzoli; Henk Wymeersch; Petar Popovski; Philippe Ratajczak; Yohann Bénédic; Marie-Hélène Hamon; Sebastien Herraiz Gonzalez; Placido Mursia; Marco Rossanese; et al. (EURASIP J. Wirel. Commun. Netw., 2023)

Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization. - Paolo Di Lorenzo; Mattia Merluzzi; Francesco Binucci; Claudio Battiloro; Paolo Banelli; Emilio Calvanese Strinati; Sergio Barbarossa (IEEE Internet Things Mag., 2023)

Multi-User Goal-Oriented Communications With Energy-Efficient Edge Resource Management. - Francesco Binucci; Paolo Banelli; Paolo Di Lorenzo; Sergio Barbarossa (IEEE Trans. Green Commun. Netw., 2023)

Learning Sheaf Laplacian Optimizing Restriction Maps. - Leonardo Di Nino; Sergio Barbarossa; Paolo Di Lorenzo (IEEECONF, 2024)

Goal-Oriented Communications Based on Recursive Early Exit Neural Networks. - Jary Pomponi; Mattia Merluzzi; Alessio Devoto; Mateus Pontes Mota; Paolo Di Lorenzo; Simone Scardapane (IEEECONF, 2024)

Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach. - Emilio Calvanese Strinati; Paolo Di Lorenzo; Vincenzo Sciancalepore; Adnan Aijaz; Marios Kountouris; Deniz Gündüz; Petar Popovski; Mohamed Sana; Photios A. Stavrou; Beatriz Soret; Nicola Cordeschi; Simone Scardapane; et al. (EuCNC/6G Summit, 2024)

Dynamic Relative Representations for Goal-Oriented Semantic Communications. - Simone Fiorellino; Claudio Battiloro; Emilio Calvanese Strinati; Paolo Di Lorenzo (EUSIPCO, 2024)

Topological Adaptive Learning over Cell Complexes. - Lorenzo Marinucci; Claudio Battiloro; Paolo Di Lorenzo (EUSIPCO, 2024)

Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. - Alessio Devoto; Jary Pomponi; Simone Petruzzi; Paolo Di Lorenzo; Simone Scardapane (GLOBECOM (Workshops), 2024)

Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization. - Tomás Hüttebräucker; Simone Fiorellino; Mohamed Sana; Paolo Di Lorenzo; Emilio Calvanese Strinati (GLOBECOM (Workshops), 2024)

Topological Neural Networks over the Air. - Simone Fiorellino; Claudio Battiloro; Paolo Di Lorenzo (ICASSP, 2024)

From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. - Claudio Battiloro; Indro Spinelli; Lev Telyatnikov; Michael M. Bronstein; Simone Scardapane; Paolo Di Lorenzo (ICLR, 2024)

Position: Topological Deep Learning is the New Frontier for Relational Learning. - Theodore Papamarkou; Tolga Birdal; Michael M. Bronstein; Gunnar E. Carlsson; Justin Curry; Yue Gao; Mustafa Hajij; Roland Kwitt; Pietro Lio; Paolo Di Lorenzo; Vasileios Maroulas; Nina Miolane; et al. (ICML, 2024)

Semantic Communication Enhanced by Knowledge Graph Representation Learning. - Nour Hello; Paolo Di Lorenzo; Emilio Calvanese Strinati (SPAWC, 2024)

The Interference Broadcast Channel with Reconfigurable Intelligent Surfaces: A Cooperative Sum-Rate Maximization Approach. - Konstantinos D. Katsanos; Paolo Di Lorenzo; George C. Alexandropoulos (SPAWC, 2024)

Reducing the In band Network Telemetry overhead through the spatial sampling: Theory and experimental results. - Marco Polverini; Stefania Sardellitti; Sergio Barbarossa; Antonio Cianfrani; Paolo Di Lorenzo; Marco Listanti (Comput. Networks, 2024)

Position Paper: Challenges and Opportunities in Topological Deep Learning. - Theodore Papamarkou; Tolga Birdal; Michael M. Bronstein; Gunnar E. Carlsson; Justin Curry; Yue Gao; Mustafa Hajij; Roland Kwitt; Pietro Liò; Paolo Di Lorenzo; Vasileios Maroulas; Nina Miolane; et al. (CoRR, 2024)

Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning. - Alessio Devoto; Federico Alvetreti; Jary Pomponi; Paolo Di Lorenzo; Pasquale Minervini; Simone Scardapane (CoRR, 2024)

Opportunistic Information-Bottleneck for Goal-Oriented Feature Extraction and Communication. - Francesco Binucci; Paolo Banelli; Paolo Di Lorenzo; Sergio Barbarossa (IEEE Open J. Commun. Soc., 2024)

Generalized Simplicial Attention Neural Networks. - Claudio Battiloro; Lucia Testa; Lorenzo Giusti; Stefania Sardellitti; Paolo Di Lorenzo; Sergio Barbarossa (IEEE Trans. Signal Inf. Process. over Networks, 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)

Learning Multi-Frequency Partial Correlation Graphs. - Gabriele D'Acunto; Paolo Di Lorenzo; Francesco Bonchi; Stefania Sardellitti; Sergio Barbarossa (IEEE Trans. Signal Process., 2024)

RIS-Aided Wireless Fingerprinting Localization Based on Multilayer Graph Representations. - Stefania Sardellitti; Paolo Di Lorenzo; Sergio Barbarossa (IEEE Commun. Lett., 2024)

Multi-RIS-Empowered Multiple Access: A Distributed Sum-Rate Maximization Approach. - Konstantinos D. Katsanos; Paolo Di Lorenzo; George C. Alexandropoulos (IEEE J. Sel. Top. Signal Process., 2024)

Adaptive layer and token selection for efficient fine-tuning of vision transformers. - Alessio Devoto; Federico Alvetreti; Jary Pomponi; Paolo Di Lorenzo; Pasquale Minervini; Simone Scardapane (Neurocomputing, 2025)

Topological signal processing and learning: Recent advances and future challenges. - Elvin Isufi; Geert Leus; Baltasar Beferull-Lozano; Sergio Barbarossa; Paolo Di Lorenzo (Signal Process., 2025)

Quantum Simplicial Neural Networks. - Simone Piperno; Claudio Battiloro; Andrea Ceschini; Francesca Dominici; Paolo Di Lorenzo; Massimo Panella (CoRR, 2025)

Causal Abstraction Learning based on the Semantic Embedding Principle. - Gabriele D'Acunto; Fabio Massimo Zennaro; Yorgos Felekis; Paolo Di Lorenzo (CoRR, 2025)

Semantic and Goal-oriented Wireless Network Coverage: The Area of Effectiveness. - Mattia Merluzzi; Giuseppe Di Poce; Paolo Di Lorenzo (CoRR, 2025)

Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks. - Kyriakos Stylianopoulos; Paolo Di Lorenzo; George C. Alexandropoulos (CoRR, 2025)

Adaptive Semantic Token Communication for Transformer-based Edge Inference. - Alessio Devoto; Jary Pomponi; Mattia Merluzzi; Paolo Di Lorenzo; Simone Scardapane (CoRR, 2025)

Topological Adaptive Least Mean Squares Algorithms over Simplicial Complexes. - Lorenzo Marinucci; Claudio Battiloro; Paolo Di Lorenzo (CoRR, 2025)

RIS-aided Latent Space Alignment for Semantic Channel Equalization. - Tomás Hüttebräucker; Mario Edoardo Pandolfo; Simone Fiorellino; Emilio Calvanese Strinati; Paolo Di Lorenzo (CoRR, 2025)

Latent Space Alignment for AI-Native MIMO Semantic Communications. - Mario Edoardo Pandolfo; Simone Fiorellino; Emilio Calvanese Strinati; Paolo Di Lorenzo (CoRR, 2025)

Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications. - Simone Fiorellino; Claudio Battiloro; Emilio Calvanese Strinati; Paolo Di Lorenzo (CoRR, 2025)