Sfoglia per Autore
Dynamic resource optimization for decentralized signal estimation in energy harvesting wireless sensor networks
2019 Di Lorenzo, P.; Battiloro, C.; Banelli, P.; Barbarossa, S.
Distributed tensor completion over networks
2020 Battiloro, C.; Di Lorenzo, P.
Dynamic resource optimization for decentralized estimation in energy harvesting IoT networks
2021 Battiloro, C.; Di Lorenzo, P.; Banelli, P.; Barbarossa, S.
Dynamic resource optimization for adaptive federated learning at the wireless network edge
2021 Di Lorenzo, P.; Battiloro, C.; Merluzzi, M.; Barbarossa, S.
Graph Convolutional Networks with Autoencoder-Based Compression and Multi-Layer Graph Learning
2022 Giusti, L; Battiloro, C; Di Lorenzo, P; Barbarossa, S
Energy-efficient classification at the wireless edge with reliability guarantees
2022 Merluzzi, Mattia; Battiloro, Claudio; DI LORENZO, Paolo; Calvanese Strinati, Emilio
Dynamic resource optimization for adaptive federated learning empowered by reconfigurable intelligent surfaces
2022 Battiloro, Claudio; Merluzzi, Mattia; DI LORENZO, Paolo; Barbarossa, Sergio
Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization
2023 Di Lorenzo, Paolo; Merluzzi, Mattia; Binucci, Francesco; Battiloro, Claudio; Banelli, Paolo; Strinati, Emilio Calvanese; Barbarossa, Sergio
Parametric dictionary learning for topological signal representation
2023 Battiloro, Claudio; Di Lorenzo, Paolo; Ribeiro, Alejandro
Topological signal processing over weighted simplicial complexes
2023 Battiloro, Claudio; Sardellitti, Stefania; Barbarossa, Sergio; Di Lorenzo, Paolo
Pooling strategies for simplicial convolutional networks
2023 Cinque, Domenico Mattia; Battiloro, Claudio; Di Lorenzo, Paolo
Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes
2023 Battiloro, Claudio; Di Lorenzo, Paolo; Barbarossa, Sergio
Cell Attention Networks
2023 Giusti, Lorenzo; Battiloro, Claudio; Testa, Lucia; Di Lorenzo, Paolo; Sardellitti, Stefania; Barbarossa, Sergio
Lyapunov-based optimization of edge resources for energy-efficient adaptive federated learning
2023 Battiloro, Claudio; Lorenzo, Paolo Di; Merluzzi, Mattia; Barbarossa, Sergio
ICML 2023 topological deep learning challenge. Design and results
2023 Papillon, Mathilde; Hajij, Mustafa; Frantzen, Florian; Hoppe, Josef; Jenne, Helen; Mathe, Johan; Myers, Audun; Papamarkou, Theodore; Schaub, Michael T.; Zamzmi, Ghada; Birdal, Tolga; Dey, Tamal; Doster, Timothy; Emerson, Tegan H.; Gopalakrishnan, Gurusankar; Govil, D.; Grande, Vincent P.; Guzm'an-S'aenz, Aldo; Kvinge, Henry; Livesay, Neal; Meisner, Jan; Mukherjee, Soham; Samaga, Shreyas N.; Natesan Ramamurthy, Karthikeyan; Reddy Karri, Maneel; Rosen, Paul; Sanborn, Sophia; Scholkemper, Michael; Walters, Robin; Agerberg, Jens; Bokman, Georg; Barikbin, Sadrodin; Battiloro, Claudio; Bazhenov, Gleb; Bern('a)rdez, Guillermo; Brent, Aiden; Escalera, Sergio; Fiorellino, Simone; Gavrilev, Dmitrii; Hassanin, Mohammed; Hausner, Paul; Hoff Gardaa, Odin; Khamis, Abdelwahed; Lecha, M; Magai, German; Malygina, Tatiana; Melnyk, Pavlo; Ballester, Rub('e)n; Varma Nadimpalli, Kalyan; Nikitin, Alexander; Rabinowitz, Abraham; Salatiello, Alessandro; Scardapane, Simone; Scofano, Luca; Singh, Suraj; Sjolund, Jens; Snopov, Paul; Spinelli, Indro; Telyatnikov, Lev; Testa, Lucia; Yang, Maosheng; Yue, Yixiao; Zaghen, Olga; Zia, Ali; Miolane, Nina
Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back
2023 Battiloro, C.; Wang, Z.; Riess, H.; Di Lorenzo, P.; Ribeiro, A.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Dynamic resource optimization for decentralized signal estimation in energy harvesting wireless sensor networks | 2019 | Di Lorenzo, P.; Battiloro, C.; Banelli, P.; Barbarossa, S. | |
Distributed tensor completion over networks | 2020 | Battiloro, C.; Di Lorenzo, P. | |
Dynamic resource optimization for decentralized estimation in energy harvesting IoT networks | 2021 | Battiloro, C.; Di Lorenzo, P.; Banelli, P.; Barbarossa, S. | |
Dynamic resource optimization for adaptive federated learning at the wireless network edge | 2021 | Di Lorenzo, P.; Battiloro, C.; Merluzzi, M.; Barbarossa, S. | |
Graph Convolutional Networks with Autoencoder-Based Compression and Multi-Layer Graph Learning | 2022 | Giusti, L; Battiloro, C; Di Lorenzo, P; Barbarossa, S | |
Energy-efficient classification at the wireless edge with reliability guarantees | 2022 | Merluzzi, Mattia; Battiloro, Claudio; DI LORENZO, Paolo; Calvanese Strinati, Emilio | |
Dynamic resource optimization for adaptive federated learning empowered by reconfigurable intelligent surfaces | 2022 | Battiloro, Claudio; Merluzzi, Mattia; DI LORENZO, Paolo; Barbarossa, Sergio | |
Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization | 2023 | Di Lorenzo, Paolo; Merluzzi, Mattia; Binucci, Francesco; Battiloro, Claudio; Banelli, Paolo; Strinati, Emilio Calvanese; Barbarossa, Sergio | |
Parametric dictionary learning for topological signal representation | 2023 | Battiloro, Claudio; Di Lorenzo, Paolo; Ribeiro, Alejandro | |
Topological signal processing over weighted simplicial complexes | 2023 | Battiloro, Claudio; Sardellitti, Stefania; Barbarossa, Sergio; Di Lorenzo, Paolo | |
Pooling strategies for simplicial convolutional networks | 2023 | Cinque, Domenico Mattia; Battiloro, Claudio; Di Lorenzo, Paolo | |
Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes | 2023 | Battiloro, Claudio; Di Lorenzo, Paolo; Barbarossa, Sergio | |
Cell Attention Networks | 2023 | Giusti, Lorenzo; Battiloro, Claudio; Testa, Lucia; Di Lorenzo, Paolo; Sardellitti, Stefania; Barbarossa, Sergio | |
Lyapunov-based optimization of edge resources for energy-efficient adaptive federated learning | 2023 | Battiloro, Claudio; Lorenzo, Paolo Di; Merluzzi, Mattia; Barbarossa, Sergio | |
ICML 2023 topological deep learning challenge. Design and results | 2023 | Papillon, Mathilde; Hajij, Mustafa; Frantzen, Florian; Hoppe, Josef; Jenne, Helen; Mathe, Johan; Myers, Audun; Papamarkou, Theodore; Schaub, Michael T.; Zamzmi, Ghada; Birdal, Tolga; Dey, Tamal; Doster, Timothy; Emerson, Tegan H.; Gopalakrishnan, Gurusankar; Govil, D.; Grande, Vincent P.; Guzm'an-S'aenz, Aldo; Kvinge, Henry; Livesay, Neal; Meisner, Jan; Mukherjee, Soham; Samaga, Shreyas N.; Natesan Ramamurthy, Karthikeyan; Reddy Karri, Maneel; Rosen, Paul; Sanborn, Sophia; Scholkemper, Michael; Walters, Robin; Agerberg, Jens; Bokman, Georg; Barikbin, Sadrodin; Battiloro, Claudio; Bazhenov, Gleb; Bern('a)rdez, Guillermo; Brent, Aiden; Escalera, Sergio; Fiorellino, Simone; Gavrilev, Dmitrii; Hassanin, Mohammed; Hausner, Paul; Hoff Gardaa, Odin; Khamis, Abdelwahed; Lecha, M; Magai, German; Malygina, Tatiana; Melnyk, Pavlo; Ballester, Rub('e)n; Varma Nadimpalli, Kalyan; Nikitin, Alexander; Rabinowitz, Abraham; Salatiello, Alessandro; Scardapane, Simone; Scofano, Luca; Singh, Suraj; Sjolund, Jens; Snopov, Paul; Spinelli, Indro; Telyatnikov, Lev; Testa, Lucia; Yang, Maosheng; Yue, Yixiao; Zaghen, Olga; Zia, Ali; Miolane, Nina | |
Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back | 2023 | Battiloro, C.; Wang, Z.; Riess, H.; Di Lorenzo, P.; Ribeiro, A. |
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