Claudio Battiloro

59 papers A* 3A 1B 1Misc 12Journal 36Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications.
IEEE Trans. Cogn. Commun. Netw.
Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo
2026 J jnl
Topological Adaptive Least Mean Squares Algorithms Over Simplicial Complexes.
IEEE Trans. Signal Inf. Process. over Networks
Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo
2026 J jnl
Topological Dictionary Learning.
IEEE Trans. Signal Process.
Enrico Grimaldi, Claudio Battiloro, Paolo Di Lorenzo
2025 J jnl
Algorithmic Collective Action with Multiple Collectives.
CoRR
Claudio Battiloro, Pietro Greiner, Bret Nestor, Oumaima Amezgar, Francesca Dominici
2025 J jnl
CoVariance Filters and Neural Networks over Hilbert Spaces.
CoRR
Claudio Battiloro, Andrea Cavallo, Elvin Isufi
2025 J jnl
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding.
CoRR
Manuel Lecha, Andrea Cavallo, Francesca Dominici, Ran Levi, Alessio Del Bue, Elvin Isufi, Pietro Morerio, Claudio Battiloro
2025 A* conf
E(n) Equivariant Topological Neural Networks.
ICLR
Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici
2025 J jnl
Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications.
CoRR
Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo
2025 J jnl
Guided Transfer Learning for Discrete Diffusion Models.
CoRR
Julian Kleutgens, Claudio Battiloro, Lingkai Kong, Benjamin Grewe, Francesca Dominici, Mauricio Tec
2025 Misc conf
Higher-Order Topological Directionality and Directed Simplicial Neural Networks.
ICASSP
Manuel Lecha, Andrea Cavallo, Francesca Dominici, Elvin Isufi, Claudio Battiloro
2025 J jnl
Quantum Simplicial Neural Networks.
CoRR
Simone Piperno, Claudio Battiloro, Andrea Ceschini, Francesca Dominici, Paolo Di Lorenzo, Massimo Panella
2025 A conf
The Relativity of Causal Knowledge.
UAI
Gabriele D'Acunto, Claudio Battiloro
2025 J jnl
The Relativity of Causal Knowledge.
CoRR
Gabriele D'Acunto, Claudio Battiloro
2025 J jnl
TopoBench: A Framework for Benchmarking Topological Deep Learning.
J. Data-centric Mach. Learn. Res.
Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T. Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou
2025 A* conf
TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks.
ICML
Mathilde Papillon, Guillermo Bernárdez, Claudio Battiloro, Nina Miolane
2025 J jnl
Topological Adaptive Least Mean Squares Algorithms over Simplicial Complexes.
CoRR
Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo
2025 J jnl
Topological Neural Networks over the Air.
CoRR
Simone Fiorellino, Claudio Battiloro, Paolo Di Lorenzo
2024 J jnl
Attending to Topological Spaces: The Cellular Transformer.
CoRR
Rubén Ballester, Pablo Hernández-García, Mathilde Papillon, Claudio Battiloro, Nina Miolane, Tolga Birdal, Carles Casacuberta, Sergio Escalera, Mustafa Hajij
2024 — conf
Dynamic Relative Representations for Goal-Oriented Semantic Communications.
EUSIPCO
Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo
2024 J jnl
Dynamic Relative Representations for Goal-Oriented Semantic Communications.
CoRR
Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo
2024 J jnl
E(n) Equivariant Topological Neural Networks.
CoRR
Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici
2024 A* conf
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module.
ICLR
Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
2024 J jnl
Generalized Simplicial Attention Neural Networks.
IEEE Trans. Signal Inf. Process. over Networks
Claudio Battiloro, Lucia Testa, Lorenzo Giusti, Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa
2024 J jnl
Higher-Order Topological Directionality and Directed Simplicial Neural Networks.
CoRR
Manuel Lecha, Andrea Cavallo, Francesca Dominici, Elvin Isufi, Claudio Battiloro
2024 — conf
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
GRaM
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, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024 J jnl
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR
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, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane
2024 Misc conf
Stability of Graph Convolutional Neural Networks Through The Lens of Small Perturbation Analysis.
ICASSP
Lucia Testa, Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa
2024 J jnl
Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back.
IEEE Trans. Signal Process.
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2024 J jnl
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks.
CoRR
Mathilde Papillon, Guillermo Bernárdez, Claudio Battiloro, Nina Miolane
2024 J jnl
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
CoRR
Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
2024 J jnl
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
J. Mach. Learn. Res.
Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
2024 — conf
Topological Adaptive Learning over Cell Complexes.
EUSIPCO
Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo
2024 Misc conf
Topological Neural Networks over the Air.
ICASSP
Simone Fiorellino, Claudio Battiloro, Paolo Di Lorenzo
2024 J jnl
Towards a Health-Based Power Grid Optimization in the Artificial Intelligence Era.
CoRR
Claudio Battiloro, Gianluca Guidi, Falco J. Bargagli Stoffi, Francesca Dominici
2023 B conf
Cell Attention Networks.
IJCNN
Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa
2023 J jnl
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module.
CoRR
Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
2023 J jnl
Generalized Simplicial Attention Neural Networks.
CoRR
Claudio Battiloro, Lucia Testa, Lorenzo Giusti, Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa
2023 J jnl
Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization.
IEEE Internet Things Mag.
Paolo Di Lorenzo, Mattia Merluzzi, Francesco Binucci, Claudio Battiloro, Paolo Banelli, Emilio Calvanese Strinati, Sergio Barbarossa
2023 J jnl
ICML 2023 Topological Deep Learning Challenge : Design and Results.
CoRR
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, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.
2023 — conf
ICML 2023 Topological Deep Learning Challenge: Design and Results.
TAG-ML
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, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane
2023 J jnl
Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning.
IEEE Trans. Green Commun. Netw.
Claudio Battiloro, Paolo Di Lorenzo, Mattia Merluzzi, Sergio Barbarossa
2023 — conf
Parametric Dictionary Learning for Topological Signal Representation.
EUSIPCO
Claudio Battiloro, Paolo Di Lorenzo, Alejandro Ribeiro
2023 Misc conf
Pooling Strategies for Simplicial Convolutional Networks.
ICASSP
Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo
2023 J jnl
Stability of Graph Convolutional Neural Networks through the lens of small perturbation analysis.
CoRR
Lucia Testa, Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa
2023 J jnl
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back.
CoRR
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2023 Misc conf
Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back.
ICASSP
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2023 Misc conf
Topological Signal Processing Over Weighted Simplicial Complexes.
ICASSP
Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
2023 Misc conf
Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes.
ICASSP
Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa
2022 J jnl
Cell Attention Networks.
CoRR
Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa
2022 Misc conf
Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces.
ICASSP
Claudio Battiloro, Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
2022 — conf
Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees.
ICC Workshops
Mattia Merluzzi, Claudio Battiloro, Paolo Di Lorenzo, Emilio Calvanese Strinati
2022 Misc conf
Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning.
ICASSP
Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa
2022 J jnl
Pooling Strategies for Simplicial Convolutional Networks.
CoRR
Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo
2022 J jnl
Simplicial Attention Neural Networks.
CoRR
Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa
2022 J jnl
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back.
CoRR
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2021 Misc conf
Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge.
ICASSP
Paolo Di Lorenzo, Claudio Battiloro, Mattia Merluzzi, Sergio Barbarossa
2021 J jnl
Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks.
IEEE Internet Things J.
Claudio Battiloro, Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa
2020 Misc conf
Distributed Tensor Completion Over Networks.
ICASSP
Claudio Battiloro, Paolo Di Lorenzo
2019 Misc conf
Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks.
ICASSP
Paolo Di Lorenzo, Claudio Battiloro, Paolo Banelli, Sergio Barbarossa