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

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

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)

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

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

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

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

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

ICML 2023 Topological Deep Learning Challenge : Design and Results. - Mathilde Papillon; Mustafa Hajij; Florian Frantzen; Josef Hoppe; Helen Jenne; Johan Mathe; Audun Myers; Theodore Papamarkou; Michael T. Schaub; Ghada Zamzmi; Tolga Birdal; Tamal K. Dey; et al. (CoRR, 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)

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)

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)

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

Stability of Graph Convolutional Neural Networks Through The Lens of Small Perturbation Analysis. - Lucia Testa; Claudio Battiloro; Stefania Sardellitti; Sergio Barbarossa (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)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (CoRR, 2024)

Attending to Topological Spaces: The Cellular Transformer. - Rubén Ballester; Pablo Hernández-García; Mathilde Papillon; Claudio Battiloro; Nina Miolane; Tolga Birdal; Carles Casacuberta; Sergio Escalera; Mustafa Hajij (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)

TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks. - Mathilde Papillon; Guillermo Bernárdez; Claudio Battiloro; Nina Miolane (CoRR, 2024)

Towards a Health-Based Power Grid Optimization in the Artificial Intelligence Era. - Claudio Battiloro; Gianluca Guidi; Falco J. Bargagli Stoffi; Francesca Dominici (CoRR, 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)

Higher-Order Topological Directionality and Directed Simplicial Neural Networks. - Manuel Lecha; Andrea Cavallo; Francesca Dominici; Elvin Isufi; Claudio Battiloro (ICASSP, 2025)

E(n) Equivariant Topological Neural Networks. - Claudio Battiloro; Ege Karaismailoglu; Mauricio Tec; George Dasoulas; Michelle Audirac; Francesca Dominici (ICLR, 2025)

The Relativity of Causal Knowledge. - Gabriele D'Acunto; Claudio Battiloro (UAI, 2025)

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

Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding. - Manuel Lecha; Andrea Cavallo; Francesca Dominici; Ran Levi; Alessio Del Bue; Elvin Isufi; Pietro Morerio; Claudio Battiloro (CoRR, 2025)

Topological Adaptive Least Mean Squares Algorithms over Simplicial Complexes. - Lorenzo Marinucci; Claudio Battiloro; 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)