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, S; Pavllo, D; Biggio, L; Noci, L; Lucchi, A; Hofmann, T
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
2022 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, Em; Scampicchio, A; Biggio, L; Orvieto, A; Hofmann, T; Teichmann, J
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, L; Anagnostidis, S; Biggio, L; Orvieto, A; Singh, Sp; Lucchi, A
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, S; Pavllo, D; Biggio, L; Noci, L; Lucchi, A; Hofmann, T | - | (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-2022 | 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, Em; Scampicchio, A; Biggio, L; Orvieto, A; Hofmann, T; Teichmann, J | - | (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, L; Anagnostidis, S; Biggio, L; Orvieto, A; Singh, Sp; Lucchi, A | - | (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 | - |