BIGGIO, LUCA
BIGGIO, LUCA
Dipartimento di Scienze della Computazione
Accelerating galaxy dynamical modeling using a neural network for joint lensing and kinematic analyses
2023 Gomer, Matthew R.; Ertl, Sebastian; Biggio, Luca; Wang, Han; Galan, Aymeric; Van de Vyvere, Lyne; Sluse, Dominique; Vernardos, Georgios; Suyu, Sherry H.
Ageing-aware battery discharge prediction with deep learning
2023 Biggio, Luca; Bendinelli, Tommaso; Kulkarni, Chetan; Fink, Olga
An {SDE} for Modeling {SAM}: theory and insights
2023 Monzio Compagnoni, Enea; Biggio, Luca; Orvieto, Antonio; Proske, Frank Norbert; Kersting, Hans; Lucchi, Aurelien
Controllable neural symbolic regression
2023 Bendinelli, Tommaso; Biggio, Luca; Kamienny, Pierre-Alexandre
Dynamic context pruning for efficient and interpretable autoregressive transformers
2023 Anagnostidis, Sotiris; Pavllo, Dario; Biggio, Luca; Noci, Lorenzo; Lucchi, Aurelien; Hofmann, Thomas
Fast emulation of two-point angular statistics for photometric galaxy surveys
2024 Bonici, Marco; Biggio, Luca; Carbone, Carmelita; Guzzo, Luigi
FIGARO: generating symbolic music with fine-grained artistic control
2023 von Rütte, Dimitri; Biggio, Luca; Kilcher, Yannic; Hofmann, Thomas
GEMTELLIGENCE: accelerating gemstone classification with deep learning
2024 Bendinelli, Tommaso; Biggio, Luca; Nyfeler, Daniel; Ghosh, Abhigyan; Tollan, Peter; Kirschmann, Moritz Alexander; Fink, Olga
Neural Symbolic Regression that scales
2021 Biggio, Luca; Bendinelli, Tommaso; Neitz, Alexander; Lucchi, Aurelien; Parascandolo, Giambattista
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics
2023 Compagnoni, Enea Monzio; Scampicchio, Anna; Biggio, Luca; Orvieto, Antonio; Hofmann, Thomas; Teichmann, Josef
Prognostics and health management of industrial assets: current progress and road ahead
2020 Biggio, Luca; Kastanis, Iason
Signal propagation in transformers: theoretical perspectives and the role of rank collapse
2022 Noci, Lorenzo; Anagnostidis, Sotiris; Biggio, Luca; Orvieto, Antonio; Singh, Sidak Pal; Lucchi, Aurelien
Uncertainty quantification in machine learning for engineering design and health prognostics: a tutorial
2023 Nemani, Venkat; Biggio, Luca; Huan, Xun; Hu, Zhen; Fink, Olga; Tran, Anh; Wang, Yan; Zhang, Xiaoge; Hu, Chao
Uncertainty-aware prognosis via Deep Gaussian Process
2021 Biggio, Luca; Wieland, Alexander; Chao, Manuel Arias; Kastanis, Iason; Fink, Olga
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Accelerating galaxy dynamical modeling using a neural network for joint lensing and kinematic analyses | 1-gen-2023 | Gomer, Matthew R.; Ertl, Sebastian; Biggio, Luca; Wang, Han; Galan, Aymeric; Van de Vyvere, Lyne; Sluse, Dominique; Vernardos, Georgios; Suyu, Sherry H. | ASTRONOMY & ASTROPHYSICS | - |
| Ageing-aware battery discharge prediction with deep learning | 1-gen-2023 | Biggio, Luca; Bendinelli, Tommaso; Kulkarni, Chetan; Fink, Olga | APPLIED ENERGY | - |
| An {SDE} for Modeling {SAM}: theory and insights | 1-gen-2023 | Monzio Compagnoni, Enea; Biggio, Luca; Orvieto, Antonio; Proske, Frank Norbert; Kersting, Hans; Lucchi, Aurelien | - | (seleziona...) |
| Controllable neural symbolic regression | 1-gen-2023 | Bendinelli, Tommaso; Biggio, Luca; Kamienny, Pierre-Alexandre | - | (seleziona...) |
| Dynamic context pruning for efficient and interpretable autoregressive transformers | 1-gen-2023 | Anagnostidis, Sotiris; Pavllo, Dario; Biggio, Luca; Noci, Lorenzo; Lucchi, Aurelien; Hofmann, Thomas | - | (seleziona...) |
| Fast emulation of two-point angular statistics for photometric galaxy surveys | 1-gen-2024 | Bonici, Marco; Biggio, Luca; Carbone, Carmelita; Guzzo, Luigi | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | - |
| FIGARO: generating symbolic music with fine-grained artistic control | 1-gen-2023 | von Rütte, Dimitri; Biggio, Luca; Kilcher, Yannic; Hofmann, Thomas | - | (seleziona...) |
| GEMTELLIGENCE: accelerating gemstone classification with deep learning | 1-gen-2024 | Bendinelli, Tommaso; Biggio, Luca; Nyfeler, Daniel; Ghosh, Abhigyan; Tollan, Peter; Kirschmann, Moritz Alexander; Fink, Olga | Communications Engineering | - |
| Neural Symbolic Regression that scales | 1-gen-2021 | Biggio, Luca; Bendinelli, Tommaso; Neitz, Alexander; Lucchi, Aurelien; Parascandolo, Giambattista | - | (seleziona...) |
| On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics | 1-gen-2023 | Compagnoni, Enea Monzio; Scampicchio, Anna; Biggio, Luca; Orvieto, Antonio; Hofmann, Thomas; Teichmann, Josef | - | (seleziona...) |
| Prognostics and health management of industrial assets: current progress and road ahead | 1-gen-2020 | Biggio, Luca; Kastanis, Iason | FRONTIERS IN ARTIFICIAL INTELLIGENCE | - |
| Signal propagation in transformers: theoretical perspectives and the role of rank collapse | 1-gen-2022 | Noci, Lorenzo; Anagnostidis, Sotiris; Biggio, Luca; Orvieto, Antonio; Singh, Sidak Pal; Lucchi, Aurelien | - | (seleziona...) |
| Uncertainty quantification in machine learning for engineering design and health prognostics: a tutorial | 1-gen-2023 | Nemani, Venkat; Biggio, Luca; Huan, Xun; Hu, Zhen; Fink, Olga; Tran, Anh; Wang, Yan; Zhang, Xiaoge; Hu, Chao | MECHANICAL SYSTEMS AND SIGNAL PROCESSING | - |
| Uncertainty-aware prognosis via Deep Gaussian Process | 1-gen-2021 | Biggio, Luca; Wieland, Alexander; Chao, Manuel Arias; Kastanis, Iason; Fink, Olga | IEEE ACCESS | - |