Claudio Battiloro

According to our database, Claudio Battiloro authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dynamic Relative Representations for Goal-Oriented Semantic Communications.

Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo

CoRR, 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, 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

CoRR, 2024

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., December, 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., March, 2023

Stability of Graph Convolutional Neural Networks through the lens of small perturbation analysis.

Lucia Testa, Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa

CoRR, 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, 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.

CoRR, 2023

Generalized Simplicial Attention Neural Networks.

Claudio Battiloro, Lucia Testa, Lorenzo Giusti, Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa

CoRR, 2023

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

CoRR, 2023

Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back.

Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro

CoRR, 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, 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

Proceedings of the Topological, 2023

Cell Attention Networks.

Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa

Proceedings of the International Joint Conference on Neural Networks, 2023

Pooling Strategies for Simplicial Convolutional Networks.

Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

Topological Signal Processing Over Weighted Simplicial Complexes.

Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo

Proceedings of the IEEE International Conference on Acoustics, 2023

Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes.

Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2023

Parametric Dictionary Learning for Topological Signal Representation.

Claudio Battiloro, Paolo Di Lorenzo, Alejandro Ribeiro

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Simplicial Attention Neural Networks.

Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa

CoRR, 2022

Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees.

Mattia Merluzzi, Claudio Battiloro, Paolo Di Lorenzo, Emilio Calvanese Strinati

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning.

Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2022

Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces.

Claudio Battiloro, Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2022

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 at the Wireless Network Edge.

Paolo Di Lorenzo, Claudio Battiloro, Mattia Merluzzi, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Distributed Tensor Completion Over Networks.

Claudio Battiloro, Paolo Di Lorenzo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks.

Paolo Di Lorenzo, Claudio Battiloro, Paolo Banelli, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2019