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Claudio Battiloro
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2020 – today
- 2024
- [j4]Claudio Battiloro
, Zhiyang Wang
Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back. IEEE Trans. Signal Process. 72: 1892-1909 (2024) - [c18]Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo:
Topological Adaptive Learning over Cell Complexes. EUSIPCO 2024: 832-836 - [c17]Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo:
Dynamic Relative Representations for Goal-Oriented Semantic Communications. EUSIPCO 2024: 2107-2111 - [c16]Lucia Testa, Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa:
Stability of Graph Convolutional Neural Networks Through The Lens of Small Perturbation Analysis. ICASSP 2024: 6865-6869 - [c15]Simone Fiorellino, Claudio Battiloro, Paolo Di Lorenzo:
Topological Neural Networks over the Air. ICASSP 2024: 12986-12990 - [c14]Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo:
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. ICLR 2024 - [i16]Mustafa Hajij, Mathilde Papillon, Florian Frantzen
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR abs/2402.02441 (2024) - [i15]Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo:
Dynamic Relative Representations for Goal-Oriented Semantic Communications. CoRR abs/2403.16986 (2024) - [i14]Rubén Ballester, Pablo Hernández-García, Mathilde Papillon, Claudio Battiloro, Nina Miolane, Tolga Birdal, Carles Casacuberta, Sergio Escalera, Mustafa Hajij:
Attending to Topological Spaces: The Cellular Transformer. CoRR abs/2405.14094 (2024) - [i13]Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici:
E(n) Equivariant Topological Neural Networks. CoRR abs/2405.15429 (2024) - [i12]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
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - [i11]Manuel Lecha, Andrea Cavallo, Francesca Dominici, Elvin Isufi, Claudio Battiloro:
Higher-Order Topological Directionality and Directed Simplicial Neural Networks. CoRR abs/2409.08389 (2024) - [i10]Mathilde Papillon, Guillermo Bernárdez, Claudio Battiloro, Nina Miolane:
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks. CoRR abs/2410.06530 (2024) - 2023
- [j3]Paolo Di Lorenzo, Mattia Merluzzi, Francesco Binucci, Claudio Battiloro, Paolo Banelli, Emilio Calvanese Strinati, Sergio Barbarossa:
Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization. IEEE Internet Things Mag. 6(4): 26-32 (2023) - [j2]Claudio Battiloro
Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning. IEEE Trans. Green Commun. Netw. 7(1): 265-280 (2023) - [c13]Claudio Battiloro, Paolo Di Lorenzo, Alejandro Ribeiro:
Parametric Dictionary Learning for Topological Signal Representation. EUSIPCO 2023: 1958-1962 - [c12]Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa:
Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes. ICASSP 2023: 1-5 - [c11]Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo:
Topological Signal Processing Over Weighted Simplicial Complexes. ICASSP 2023: 1-5 - [c10]Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back. ICASSP 2023: 1-5 - [c9]Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo:
Pooling Strategies for Simplicial Convolutional Networks. ICASSP 2023: 1-5 - [c8]Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa:
Cell Attention Networks. IJCNN 2023: 1-8 - [c7]Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8 - [i9]Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back. CoRR abs/2303.11323 (2023) - [i8]Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo:
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. CoRR abs/2305.16174 (2023) - [i7]Claudio Battiloro, Lucia Testa, Lorenzo Giusti, Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa:
Generalized Simplicial Attention Neural Networks. CoRR abs/2309.02138 (2023) - [i6]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
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR abs/2309.15188 (2023) - [i5]Lucia Testa, Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa:
Stability of Graph Convolutional Neural Networks through the lens of small perturbation analysis. CoRR abs/2312.12934 (2023) - 2022
- [c6]Lorenzo Giusti, Claudio Battiloro
Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning. ICASSP 2022: 3593-3597 - [c5]Claudio Battiloro
Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces. ICASSP 2022: 4083-4087 - [c4]Mattia Merluzzi, Claudio Battiloro
Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees. ICC Workshops 2022: 109-114 - [i4]Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa:
Simplicial Attention Neural Networks. CoRR abs/2203.07485 (2022) - [i3]Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa:
Cell Attention Networks. CoRR abs/2209.08179 (2022) - [i2]Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo:
Pooling Strategies for Simplicial Convolutional Networks. CoRR abs/2210.05490 (2022) - [i1]Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back. CoRR abs/2210.15058 (2022) - 2021
- [j1]Claudio Battiloro
Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks. IEEE Internet Things J. 8(10): 8530-8542 (2021) - [c3]Paolo Di Lorenzo, Claudio Battiloro
Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge. ICASSP 2021: 4910-4914 - 2020
- [c2]Claudio Battiloro
Distributed Tensor Completion Over Networks. ICASSP 2020: 8599-8603
2010 – 2019
- 2019
- [c1]Paolo Di Lorenzo, Claudio Battiloro
Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks. ICASSP 2019: 4454-4458
Coauthor Index
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