Titolo |
Pubblicato in |
Anno |
Tangent bundle convolutional learning: from manifolds to cellular sheaves and back |
IEEE TRANSACTIONS ON SIGNAL PROCESSING |
2024 |
From latent graph to latent topology inference: differentiable cell complex module |
International conference on learning representations - Proceedings (ICLR 2024) |
2024 |
Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back |
IEEE ICASSP 2023 |
2023 |
Topological Signal Processing Over Weighted Simplicial Complexes |
IEEE ICASSP 2023 |
2023 |
Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes |
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
2023 |
Pooling Strategies for Simplicial Convolutional Networks |
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
2023 |
Cell Attention Networks |
2023 International Joint Conference on Neural Networks (IJCNN) |
2023 |
ICML 2023 topological deep learning challenge. Design and results |
Proceedings of Machine Learning Research |
2023 |
Parametric dictionary learning for topological signal representation |
European signal processing conference |
2023 |
Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization |
IEEE INTERNET OF THINGS MAGAZINE |
2023 |
Lyapunov-based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning |
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING |
2022 |
Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees |
2022 {IEEE} International Conference on Communications Workshops ({ICC} Workshops) |
2022 |
Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces |
{ICASSP} 2022 - 2022 {IEEE} International Conference on Acoustics, Speech and Signal Processing ({ICASSP}) |
2022 |
Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning |
{ICASSP} 2022 - 2022 {IEEE} International Conference on Acoustics, Speech and Signal Processing ({ICASSP}) |
2022 |
Graph Convolutional Networks with Autoencoder-Based Compression and Multi-Layer Graph Learning |
IEEE ICASSP 2022 |
2022 |
Dynamic resource optimization for adaptive federated learning at the wireless network edge |
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
2021 |
Distributed tensor completion over networks |
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
2020 |
Dynamic resource optimization for decentralized estimation in energy harvesting IoT networks |
IEEE INTERNET OF THINGS JOURNAL |
2020 |
Dynamic resource optimization for decentralized signal estimation in energy harvesting wireless sensor networks |
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
2019 |