BIGGIO, LUCA

BIGGIO, LUCA  

Dipartimento di Scienze della Computazione  

Mostra records
Risultati 1 - 14 di 14 (tempo di esecuzione: 0.027 secondi).
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 -