Claudio Battiloro

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Research highlights

I firmly believe that major scientific advancements for social good are driven by interdisciplinary contamination. This is even more true when scientific advancements are needed to face global crises, such as the climate crisis. My academic path is consistent with my beliefs: after building strong theoretical and methodological skills during my undergrad and graduate studies, I felt the urge for my research to also have a significant on-the ground-impact.


My current main research interests include theory and methods for topological signal processing and deep learning, (broadly) AI for Climate Adaptation, and distributed stochastic optimization.

I have over 30 publications, including papers published in top-tier journals (e.g., IEEE Transactions on Signal Processing, IEEE Transaction on Signal and Information Processing over Networks, IEEE Transactions on IoT, IEEE Transaction on Green Communications and Networking, and Journal of Machine Learning Research) and conferences (e.g. ICLR, ICML , ICASSP, and IJCNN).

I received many prestigious awards, such as the IEEE SPS Italian Chapter Best M.Sc. Thesis Award (2020) and the GTTI Best Ph.D. Thesis Award (2024). 

[PhD Thesis] [Google Scholar]

  1. Battiloro, Claudio; Testa, Lucia; Giusti, Lorenzo; Sardellitti, Stefania; Di Lorenzo, Paolo; Barbarossa, Sergio."Generalized simplicial attention neural networks." IEEE Transactions on Signal and Information Processing over Networks, 2024. [Paper ][Code ]
  2. Hajij, Mustafa; …; Battiloro, Claudio; …; Miolane, Nina. " TopoX: a suite of Python packages for machine learning on topological domains." Accepted for publication at Journal of Machine Learning Research, 2024. [Paper ][Code ]
  3. Battiloro, Claudio; Wang, Zhiyang; Riess, Hans; Di Lorenzo, Paolo; Ribeiro, Alejandro."Tangent bundle convolutional learning: from manifolds to cellular sheaves and back." IEEE Transactions on Signal Processing, 2024. [Paper ][Code ]
  4. Di Lorenzo, Paolo; …; Battiloro, Claudio; …; Barbarossa, Sergio. "Goal-oriented communications for the IoT: System design and adaptive resource optimization." IEEE Internet of Things Magazine, 2023. [Paper ]
  5. Battiloro, Claudio; Di Lorenzo, Paolo; Merluzzi, Mattia; Barbarossa, Sergio."Lyapunov-based optimization of edge resources for energy-efficient adaptive federated learning." IEEE Transactions on Green Communications and Networking, 2022. [Paper ]
  6. Battiloro, Claudio; Di Lorenzo, Paolo; Banelli, Paolo; Barbarossa, Sergio."Dynamic resource optimization for decentralized estimation in energy harvesting IoT networks." IEEE Internet of Things Journal, 2020. [Paper ]
  1. Battiloro, Claudio; Karaismailoğlu, Ege; Tec, Mauricio; Dasoulas, George; Audirac, Michelle; Dominici, Francesca."E(n) Equivariant Topological Neural Networks." International Conference on Learning Representations (ICLR), 2025. [Paper ][Code ][Blogpost ]
  2. Lecha, Manuel; Cavallo, Andrea; Isufi, Elvin; Battiloro, Claudio."Higher-Order Topological Directionality and Directed Simplicial Neural Networks." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. [Paper ][Code ]
  3. Fiorellino, Simone; Battiloro, Claudio; Strinati, Emilio Calvanese; Di Lorenzo, Paolo."Dynamic Relative Representations for Goal-Oriented Semantic Communications." 32nd European Signal Processing Conference (EUSIPCO), 2024. [Paper ][Code ]
  4. Battiloro, Claudio; Spinelli, Indro; Telyatnikov, Lev; Bronstein, Michael; Scardapane, Simone; Di Lorenzo, Paolo."From latent graph to latent topology inference: Differentiable cell complex module.” International Conference on Learning Representations (ICLR), 2024. [Paper ][Code ][Blogpost ]
  5. Marinucci, Lorenzo; Battiloro, Claudio; Di Lorenzo, Paolo. "Topological Adaptive Learning over Cell Complexes." 32nd European Signal Processing Conference (EUSIPCO), 2024. [Paper ]
  6. Testa, Lucia; Battiloro, Claudio; Sardellitti, Stefania; Barbarossa, Sergio."Stability of Graph Convolutional Neural Networks through the lens of small perturbation analysis." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. [Paper ]
  7. Fiorellino, Simone; Battiloro, Claudio; Di Lorenzo, Paolo."Topological Neural Networks over the Air." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. [Paper ][Code ]
  8. Bernárdez, Guillermo; …; Battiloro, Claudio; …; Miolane, Nina. "ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain." Geometry-grounded Representation Learning and Generative Modeling Workshop @ ICML, 2024. [Paper ][Code ]
  9. Giusti, Lorenzo; Battiloro, Claudio; Testa, Lucia; Di Lorenzo, Paolo; Sardellitti, Stefania; Barbarossa, Sergio."Cell attention networks." International Joint Conference on Neural Networks (IJCNN), 2023. [Paper ][Code ]
  10. Cinque, Domenico Mattia; Battiloro, Claudio; Di Lorenzo, Paolo."Pooling strategies for simplicial convolutional networks." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [Paper ][Code ]
  11. Battiloro, Claudio; Di Lorenzo, Paolo; Barbarossa, Sergio."Topological slepians: Maximally localized representations of signals over simplicial complexes." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [Paper ][Code ]
  12. Battiloro, Claudio; Wang, Zhiyang; Riess, Hans; Di Lorenzo, Paolo; Ribeiro, Alejandro."Tangent bundle filters and neural networks: From manifolds to cellular sheaves and back." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [Paper ][Code ]
  13. Battiloro, Claudio; Sardellitti, Stefania; Barbarossa, Sergio; Di Lorenzo, Paolo."Topological signal processing over weighted simplicial complexes." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. [Paper ]
  14. Papillon, Mathilde; …; Battiloro, Claudio; …; Miolane, Nina. "ICML 2023 topological deep learning challenge: design and results." Topological, Algebraic and Geometric Learning Workshop @ ICML, 2023. [Paper ][Code ]
  15. Battiloro, Claudio; Di Lorenzo, Paolo; Ribeiro, Alejandro."Parametric dictionary learning for topological signal representation." 31st European Signal Processing Conference (EUSIPCO), 2023. [Paper ]
  16. Merluzzi, Mattia; Battiloro, Claudio; Di Lorenzo, Paolo; Strinati, Emilio Calvanese."Energy efficient classification at the wireless edge with reliability guarantees." IEEE International Conference on Communications Workshops (ICC Workshops), 2022. [Paper ]
  17. Giusti, Lorenzo; Battiloro, Claudio; Di Lorenzo, Paolo; Barbarossa, Sergio."Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. [Paper ]
  18. Battiloro, Claudio; Merluzzi, Mattia; Di Lorenzo, Paolo; Barbarossa, Sergio."Dynamic resource optimization for adaptive federated learning empowered by reconfigurable intelligent surfaces." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. [Paper ]
  19. Di Lorenzo, Paolo; Battiloro, Claudio; Merluzzi, Mattia; Barbarossa, Sergio."Dynamic resource optimization for adaptive federated learning at the wireless network edge." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. [Paper ]
  20. Battiloro, Claudio; Di Lorenzo, Paolo."Distributed tensor completion over networks." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. [Paper ]
  21. Di Lorenzo, Paolo; Battiloro, Claudio; Banelli, Paolo; Barbarossa, Sergio."Dynamic resource optimization for decentralized signal estimation in energy harvesting wireless sensor networks." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019. [Paper ]
  1. D'Acunto Gabriele; Battiloro, Claudio. " The Relativity of Causal Knowledge." Under review, 2025. [Paper ]
  2. Grimaldi, Enrico; Battiloro, Claudio; Di Lorenzo, Paolo. "Topological Dictionary Learning." Under review, 2025. [Paper ]
  3. Piperno, Simone; Battiloro, Claudio; Ceschini, Andrea; Di Lorenzo, Paolo; Panella, Massimo. "Quantum Simplicial Neural Networks." Under review, 2025. [Paper ]
  4. Battiloro, Claudio; Guidi, Gianluca; Bargagli-Stoffi, Falco Johannes; Dominici, Francesca.“Towards a Health-Based Power Grid Optimization in the Artificial Intelligence Era.” Under review, 2024. [Paper ]
  5. Papillon, Mathilde; Bernárdez Guillermo; Battiloro, Claudio; Miolane, Nina."TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks." Under Review, 2024. [Paper ][Code ]
  6. Ballester, Rubén; …; Battiloro, Claudio; …; Hajij, Mustafa."Attending to Topological Spaces: The Cellular Transformer." Under review, 2024. [Paper ]
  7. Giusti, Lorenzo; Battiloro, Claudio; Di Lorenzo, Paolo; Sardellitti, Stefania; Barbarossa, Sergio."Simplicial Attention Neural Networks." Preprint, 2022. [Paper ][Code ]
Contact
  • cbattiloro@hsph.harvard.edu
  • 114 Western Avenue, Boston, MA, 02134
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Boston, U.S.A
Boston, U.S.A