Paolo Di Lorenzo

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 114

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

EUSIPCO

Publications

Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR (2024)
Nour Hello, Paolo Di Lorenzo, Emilio Calvanese Strinati
Semantic Communication Enhanced by Knowledge Graph Representation Learning. CoRR (2024)
Alessio Devoto, Simone Petruzzi, Jary Pomponi, Paolo Di Lorenzo, Simone Scardapane
Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. CoRR (2024)
Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo
Dynamic Relative Representations for Goal-Oriented Semantic Communications. CoRR (2024)
Marco Polverini, Stefania Sardellitti, Sergio Barbarossa, Antonio Cianfrani, Paolo Di Lorenzo, Marco Listanti
Reducing the In band Network Telemetry overhead through the spatial sampling: Theory and experimental results. Comput. Networks 242 (2024)
Simone Fiorellino, Claudio Battiloro, Paolo Di Lorenzo
Topological Neural Networks over the Air. ICASSP (2024)
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back. IEEE Trans. Signal Process. 72 (2024)
Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
Opportunistic Information-Bottleneck for Goal-Oriented Feature Extraction and Communication. IEEE Open J. Commun. Soc. 5 (2024)
Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa
RIS-Aided Wireless Fingerprinting Localization Based on Multilayer Graph Representations. IEEE Commun. Lett. 28 (5) (2024)
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, Mattia Merluzzi, Lanfranco Zanzi, Mauro Renato Boldi, Tony Q. S. Quek, Nicola di Pietro, Olivier Forceville, Francesca Costanzo, Peizheng Li
Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach. EuCNC/6G Summit (2024)
Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. ICLR (2024)
Gabriele D'Acunto, Paolo Di Lorenzo, Francesco Bonchi, Stefania Sardellitti, Sergio Barbarossa
Learning Multi-Frequency Partial Correlation Graphs. IEEE Trans. Signal Process. 72 (2024)
Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos
Multi-RIS-Empowered Multiple Access: A Distributed Sum-Rate Maximization Approach. CoRR (2024)
Claudio Battiloro, Paolo Di Lorenzo, Alejandro Ribeiro
Parametric Dictionary Learning for Topological Signal Representation. EUSIPCO (2023)
Gabriele D'Acunto, Paolo Di Lorenzo, Francesco Bonchi, Stefania Sardellitti, Sergio Barbarossa
Learning Multi-Frequency Partial Correlation Graphs. CoRR (2023)
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, Vincenzo Sciancalepore, Jean-Baptiste Gros, Sergio Terranova, Gabriele Gradoni, Paolo Di Lorenzo, Moustafa Rahal, Benoît Denis, Raffaele D'Errico, Antonio Clemente, Emilio Calvanese Strinati
RIS-Enabled Smart Wireless Environments: Deployment Scenarios, Network Architecture, Bandwidth and Area of Influence. CoRR (2023)
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, Vincenzo Sciancalepore, Jean-Baptiste Gros, Sergio Terranova, Gabriele Gradoni, Paolo Di Lorenzo, Moustafa Rahal, Benoît Denis, Raffaele D'Errico, Antonio Clemente, Emilio Calvanese Strinati
RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence. EURASIP J. Wirel. Commun. Netw. 2023 (1) (2023)
Stefania Sardellitti, Marco Polverini, Sergio Barbarossa, Antonio Cianfrani, Paolo Di Lorenzo, Marco Listanti
In Band Network Telemetry Overhead Reduction Based on Data Flows Sampling and Recovering. NetSoft (2023)
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back. ICASSP (2023)
Claudio Battiloro, Paolo Di Lorenzo, Mattia Merluzzi, Sergio Barbarossa
Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning. IEEE Trans. Green Commun. Netw. 7 (1) (2023)
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back. CoRR (2023)
Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa
Multiscale Causal Structure Learning. Trans. Mach. Learn. Res. 2023 (2023)
Sergio Barbarossa, Danilo Comminiello, Eleonora Grassucci, Francesco Pezone, Stefania Sardellitti, Paolo Di Lorenzo
Semantic Communications Based on Adaptive Generative Models and Information Bottleneck. IEEE Commun. Mag. 61 (11) (2023)
Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo
Pooling Strategies for Simplicial Convolutional Networks. ICASSP (2023)
Fabio Saggese, Victor Croisfelt, Francesca Costanzo, Junya Shiraishi, Radoslaw Kotaba, Paolo Di Lorenzo, Petar Popovski
Control Aspects for Using RIS in Latency-Constrained Mobile Edge Computing. ACSSC (2023)
Claudio Battiloro, Lucia Testa, Lorenzo Giusti, Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa
Generalized Simplicial Attention Neural Networks. CoRR (2023)
Paolo Di Lorenzo, Mattia Merluzzi, Francesco Binucci, Claudio Battiloro, Paolo Banelli, Emilio Calvanese Strinati, Sergio Barbarossa
Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization. IEEE Internet Things Mag. 6 (4) (2023)
Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
Multi-User Goal-Oriented Communications With Energy-Efficient Edge Resource Management. IEEE Trans. Green Commun. Netw. 7 (4) (2023)
Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
Analog versus Digital Pulse Amplitude Modulation for Goal-Oriented Wireless Communications. EUSIPCO (2023)
Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa
Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes. ICASSP (2023)
Kyriakos Stylianopoulos, Mattia Merluzzi, Paolo Di Lorenzo, George C. Alexandropoulos
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces. CoRR (2023)
Mattia Merluzzi, Francesca Costanzo, Konstantinos D. Katsanos, George C. Alexandropoulos, Paolo Di Lorenzo
Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications. CoRR (2023)
Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
Topological Signal Processing Over Weighted Simplicial Complexes. ICASSP (2023)
Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. CoRR (2023)
Kyriakos Stylianopoulos, Mattia Merluzzi, Paolo Di Lorenzo, George C. Alexandropoulos
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces. ICASSP (2023)
Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa
Cell Attention Networks. IJCNN (2023)
Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo
Pooling Strategies for Simplicial Convolutional Networks. CoRR (2022)
Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa
Multiscale Causal Structure Learning. CoRR (2022)
Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos
Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces. CoRR (2022)
Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
Adaptive resource optimization for edge inference with goal-oriented communications. EURASIP J. Adv. Signal Process. 2022 (1) (2022)
Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa
Cell Attention Networks. CoRR (2022)
Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa
Simplicial Attention Neural Networks. CoRR (2022)
Paolo Di Lorenzo, Mattia Merluzzi, Emilio Calvanese Strinati, Sergio Barbarossa
Dynamic edge computing empowered by reconfigurable intelligent surfaces. EURASIP J. Wirel. Commun. Netw. 2022 (1) (2022)
Francesco Pezone, Sergio Barbarossa, Paolo Di Lorenzo
Goal-Oriented Communication for Edge Learning Based On the Information Bottleneck. ICASSP (2022)
Fatima Ezzahra Airod, Mattia Merluzzi, Paolo Di Lorenzo, Emilio Calvanese Strinati
Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links. CoRR (2022)
Mattia Merluzzi, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, Sergio Barbarossa
Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing. IEEE Trans. Green Commun. Netw. 6 (2) (2022)
Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa
Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning. ICASSP (2022)
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back. CoRR (2022)
Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos
Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces. SPAWC (2022)
Mattia Merluzzi, Francesca Costanzo, Konstantinos D. Katsanos, George C. Alexandropoulos, Paolo Di Lorenzo
Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications. GLOBECOM (2022)
Mattia Merluzzi, Claudio Battiloro, Paolo Di Lorenzo, Emilio Calvanese Strinati
Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees. ICC Workshops (2022)
Claudio Battiloro, Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces. ICASSP (2022)
Fatima Ezzahra Airod, Mattia Merluzzi, Paolo Di Lorenzo, Emilio Calvanese Strinati
Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links. SPAWC (2022)
Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
Dynamic Resource Allocation for Multi-User Goal-oriented Communications at the Wireless Edge. EUSIPCO (2022)
Mattia Merluzzi, Alessio Martino, Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa
Dynamic Ensemble Inference at the Edge. GLOBECOM (2021)
Paolo Di Lorenzo, Claudio Battiloro, Mattia Merluzzi, Sergio Barbarossa
Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge. ICASSP (2021)
Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
Online Learning of Time-Varying Signals and Graphs. ICASSP (2021)
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, Mathieu Belouar, Julien-Etienne Mascolo, Gabriele Gradoni, Sendy Phang, Geoffroy Lerosey, Benoît Denis
Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective. CoRR (2021)
Claudio Battiloro, Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa
Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks. IEEE Internet Things J. 8 (10) (2021)
Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
Wireless Edge Machine Learning: Resource Allocation and Trade-Offs. IEEE Access 9 (2021)
Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
Distributed Training of Graph Convolutional Networks. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Paolo Di Lorenzo, Mattia Merluzzi, Emilio Calvanese Strinati
Dynamic Mobile Edge Computing empowered by Reconfigurable Intelligent Surfaces. SPAWC (2021)
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, Mathieu Belouar, Julien-Etienne Mascolo, Gabriele Gradoni, Sendy Phang, Geoffroy Lerosey, Benoît Denis
Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective. EuCNC/6G Summit (2021)
Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti
Distributed Signal Processing and Optimization Based on In-Network Subspace Projections. IEEE Trans. Signal Process. 68 (2020)
Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus
Observing and tracking bandlimited graph processes from sampled measurements. Signal Process. 177 (2020)
Claudio Battiloro, Paolo Di Lorenzo
Distributed Tensor Completion Over Networks. ICASSP (2020)
Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
Dynamic Resource Allocation for Wireless Edge Machine Learning with Latency And Accuracy Guarantees. ICASSP (2020)
Paolo Di Lorenzo, Simone Scardapane
Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. CoRR (2020)
Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
Distributed Graph Convolutional Networks. CoRR (2020)
Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa
Dynamic Resource Optimization and Altitude Selection in Uav-Based Multi-Access Edge Computing. ICASSP (2020)
Stefania Colonnese, Paolo Di Lorenzo, Tiziana Cattai, Gaetano Scarano, Fabrizio de Vico Fallani
A Joint Markov Model for Communities, Connectivity and Signals Defined Over Graphs. IEEE Signal Process. Lett. 27 (2020)
Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa, Valerio Frascolla
Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Paolo Di Lorenzo, Simone Scardapane
Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. ACSSC (2019)
Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
Dynamic Joint Resource Allocation and User Assignment in Multi-access Edge Computing. ICASSP (2019)
Mattia Merluzzi, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, Sergio Barbarossa
Network Energy Efficient Mobile Edge Computing with Reliability Guarantees. GLOBECOM (2019)
Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa, Valerio Frascolla
Joint Resource Allocation for Latency-Constrained Dynamic Computation Offloading with MEC. WCNC Workshops (2019)
Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
Latency-Constrained Dynamic Computation Offloading with Energy Harvesting IoT Devices. INFOCOM Workshops (2019)
Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
Graph Topology Inference Based on Sparsifying Transform Learning. IEEE Trans. Signal Process. 67 (7) (2019)
Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti
Distributed Adaptive Learning of Graph Processes via In-Network Subspace Projections. ACSSC (2019)
Paolo Di Lorenzo, Claudio Battiloro, Paolo Banelli, Sergio Barbarossa
Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks. ICASSP (2019)
Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti
Distributed Signal Recovery Based on In-network Subspace Projections. ICASSP (2019)
Rosa Altilio, Paolo Di Lorenzo, Massimo Panella
Distributed data clustering over networks. Pattern Recognit. 93 (2019)
Paolo Di Lorenzo, Elena Ceci
Online Recovery of Time- varying Signals Defined over Dynamic Graphs. EUSIPCO (2018)
Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus
Observing Bandlimited Graph Processes from Subsampled Measurements. ACSSC (2018)
Elvin Isufi, Paolo Di Lorenzo, Paolo Banelli, Geert Leus
Distributed Wiener-Based Reconstruction of Graph Signals. SSP (2018)
Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi, Sergio Barbarossa, Geert Leus
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. IEEE Trans. Signal Process. 66 (13) (2018)
Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli
Optimal Power and Bit Allocation for Graph Signal Interpolation. ICASSP (2018)
Simone Scardapane, Paolo Di Lorenzo
Stochastic Training of Neural Networks via Successive Convex Approximations. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa, Stefania Sardellitti
Distributed Adaptive Learning of Graph Signals. IEEE Trans. Signal Process. 65 (16) (2017)
Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
On the Graph Fourier Transform for Directed Graphs. IEEE J. Sel. Top. Signal Process. 11 (6) (2017)
Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa
Optimal sampling strategies for adaptive learning of graph signals. EUSIPCO (2017)
Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
Graph Fourier Transform for directed graphs based on Lovász extension of min-cut. ICASSP (2017)
Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi, Sergio Barbarossa, Geert Leus
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. CoRR (2017)
Simone Scardapane, Paolo Di Lorenzo
Stochastic Training of Neural Networks via Successive Convex Approximations. CoRR (2017)
Simone Scardapane, Paolo Di Lorenzo
A framework for parallel and distributed training of neural networks. Neural Networks 91 (2017)
Paolo Di Lorenzo, Elvin Isufi, Paolo Banelli, Sergio Barbarossa, Geert Leus
Distributed recursive least squares strategies for adaptive reconstruction of graph signals. EUSIPCO (2017)
Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo
Signals on Graphs: Uncertainty Principle and Sampling. IEEE Trans. Signal Process. 64 (18) (2016)
Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli, Stefania Sardellitti
LMS estimation of signals defined over graphs. EUSIPCO (2016)
Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli, Stefania Sardellitti
Adaptive Least Mean Squares Estimation of Graph Signals. IEEE Trans. Signal Inf. Process. over Networks 2 (4) (2016)
Paolo Di Lorenzo, Simone Scardapane
Parallel and distributed training of neural networks via successive convex approximation. MLSP (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paolo Di Lorenzo