| 2025 | ACSSC | Learning Network Sheaves for AI-native Semantic Communication. | Enrico Grimaldi, Mario Edoardo Pandolfo, Gabriele D'Acunto, Sergio Barbarossa, Paolo Di Lorenzo |
| 2025 | ACSSC | Colored Markov Random Fields for Probabilistic Topological Modeling. | Lorenzo Marinucci, Leonardo Di Nino, Gabriele D'Acunto, Mario Edoardo Pandolfo, Paolo Di Lorenzo, Sergio Barbarossa |
| 2025 | GLOBECOM | Semantic Channel Equalization Strategies for Deep Joint Source-Channel Coding. | Lorenzo Pannacci, Simone Fiorellino, Mario Edoardo Pandolfo, Emilio Calvanese Strinati, Paolo Di Lorenzo |
| 2025 | ICML | Causal Abstraction Learning based on the Semantic Embedding Principle. | Gabriele D'Acunto, Fabio Massimo Zennaro, Yorgos Felekis, Paolo Di Lorenzo |
| 2025 | IJCNN | Latent Space Alignment for AI-Native MIMO Semantic Communications. | Mario Edoardo Pandolfo, Simone Fiorellino, Emilio Calvanese Strinati, Paolo Di Lorenzo |
| 2024 | ACSSC | Learning Sheaf Laplacian Optimizing Restriction Maps. | Leonardo Di Nino, Sergio Barbarossa, Paolo Di Lorenzo |
| 2024 | ACSSC | Goal-Oriented Communications Based on Recursive Early Exit Neural Networks. | Jary Pomponi, Mattia Merluzzi, Alessio Devoto, Mateus Pontes Mota, Paolo Di Lorenzo, Simone Scardapane |
| 2024 | GLOBECOM | Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. | Alessio Devoto, Jary Pomponi, Simone Petruzzi, Paolo Di Lorenzo, Simone Scardapane |
| 2024 | GLOBECOM | Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization. | Toms Httebrucker, Simone Fiorellino, Mohamed Sana, Paolo Di Lorenzo, Emilio Calvanese Strinati |
| 2024 | ICASSP | Topological Neural Networks over the Air. | Simone Fiorellino, Claudio Battiloro, Paolo Di Lorenzo |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi |
| 2023 | ACSSC | 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 |
| 2023 | ICASSP | Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes. | Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa |
| 2023 | ICASSP | Topological Signal Processing Over Weighted Simplicial Complexes. | Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo |
| 2023 | ICASSP | Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back. | Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro |
| 2023 | ICASSP | Pooling Strategies for Simplicial Convolutional Networks. | Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo |
| 2023 | ICASSP | Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces. | Kyriakos Stylianopoulos, Mattia Merluzzi, Paolo Di Lorenzo, George C. Alexandropoulos |
| 2023 | IJCNN | Cell Attention Networks. | Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa |
| 2023 | NetSoft | 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 |
| 2022 | GLOBECOM | Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications. | Mattia Merluzzi, Francesca Costanzo, Konstantinos D. Katsanos, George C. Alexandropoulos, Paolo Di Lorenzo |
| 2022 | ICASSP | Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces. | Claudio Battiloro, Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa |
| 2022 | ICASSP | Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning. | Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa |
| 2022 | ICASSP | Goal-Oriented Communication for Edge Learning Based On the Information Bottleneck. | Francesco Pezone, Sergio Barbarossa, Paolo Di Lorenzo |
| 2021 | GLOBECOM | Dynamic Ensemble Inference at the Edge. | Mattia Merluzzi, Alessio Martino, Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa |
| 2021 | ICASSP | Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge. | Paolo Di Lorenzo, Claudio Battiloro, Mattia Merluzzi, Sergio Barbarossa |
| 2021 | ICASSP | Online Learning of Time-Varying Signals and Graphs. | Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo |
| 2020 | ICASSP | Distributed Tensor Completion Over Networks. | Claudio Battiloro, Paolo Di Lorenzo |
| 2020 | ICASSP | Dynamic Resource Optimization and Altitude Selection in Uav-Based Multi-Access Edge Computing. | Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa |
| 2020 | ICASSP | Dynamic Resource Allocation for Wireless Edge Machine Learning with Latency And Accuracy Guarantees. | Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa |
| 2019 | ACSSC | Distributed Adaptive Learning of Graph Processes via In-Network Subspace Projections. | Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti |
| 2019 | ACSSC | Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. | Paolo Di Lorenzo, Simone Scardapane |
| 2019 | GLOBECOM | Network Energy Efficient Mobile Edge Computing with Reliability Guarantees. | Mattia Merluzzi, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, Sergio Barbarossa |
| 2019 | ICASSP | Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks. | Paolo Di Lorenzo, Claudio Battiloro, Paolo Banelli, Sergio Barbarossa |
| 2019 | ICASSP | Distributed Signal Recovery Based on In-network Subspace Projections. | Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti |
| 2019 | ICASSP | Dynamic Joint Resource Allocation and User Assignment in Multi-access Edge Computing. | Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa |
| 2019 | INFOCOM | Latency-Constrained Dynamic Computation Offloading with Energy Harvesting IoT Devices. | Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa |
| 2019 | WCNC | Joint Resource Allocation for Latency-Constrained Dynamic Computation Offloading with MEC. | Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa, Valerio Frascolla |
| 2018 | ACSSC | Observing Bandlimited Graph Processes from Subsampled Measurements. | Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus |
| 2018 | ICASSP | Optimal Power and Bit Allocation for Graph Signal Interpolation. | Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli |
| 2017 | ICASSP | Graph Fourier Transform for directed graphs based on Lovsz extension of min-cut. | Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo |
| 2016 | ACSSC | Distributed adaptive learning of signals defined over graphs. | Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa, Stefania Sardellitti |
| 2016 | ICASSP | Distributed nonconvex optimization over time-varying networks. | Paolo Di Lorenzo, Gesualdo Scutari |
| 2015 | ACSSC | Uncertainty principle and sampling of signals defined on graphs. | Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo |
| 2015 | ICASSP | Network formation games based on conditional independence graphs. | Sergio Barbarossa, Paolo Di Lorenzo, Mihaela van der Schaar |
| 2014 | ICASSP | Distributed least mean squares strategies for sparsity-aware estimation over Gaussian Markov random fields. | Paolo Di Lorenzo, Sergio Barbarossa |
| 2013 | ICASSP | 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 |
| 2013 | ICASSP | Decentralized estimation and control of algebraic connectivity of random ad-hoc networks. | Paolo Di Lorenzo, Sergio Barbarossa |
| 2012 | ICASSP | Sparse diffusion LMS for distributed adaptive estimation. | Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed |
| 2011 | ICASSP | Bio-inspired swarming models for decentralized radio access incorporating random links and quantized communications. | Paolo Di Lorenzo, Sergio Barbarossa |