Zobrazeno 1 - 10
of 4 822
pro vyhledávání: '"Molinaro, P."'
HiRep allows flexible simulations of higher representations of Wilson Fermions with various actions and gauge groups and a range of inverters and integrators. This is particularly important for enabling evaluations of observables relevant to phenomen
Externí odkaz:
http://arxiv.org/abs/2411.18511
We present a way to learn novel concepts by only using their textual description. We call this method Knowledge Transfer. Similarly to human perception, we leverage cross-modal interaction to introduce new concepts. We hypothesize that in a pre-train
Externí odkaz:
http://arxiv.org/abs/2411.15611
Pulsating stars are universally recognized as precise distance indicators and tracers of stellar populations. Their variability, combined with well-defined relationships between pulsation properties and intrinsic evolutionary parameters such as lumin
Externí odkaz:
http://arxiv.org/abs/2411.01183
Autor:
Molinaro, Roberto, Daubinet, Jordan Dane, Dautel, Alexander Jakob, Schlueter, Andreas, Grigoryev, Alex, Ekhtiari, Nikoo, Steunebrink, Bas, Thiart, Kevin, Song, Roan John, Martin, Henry, Wagner, Leonie, Giussani, Andrea, Gabler, Marvin Vincent
We announce the release of EPT-1.5, the latest iteration in our Earth Physics Transformer (EPT) family of foundation AI earth system models. EPT-1.5 demonstrates substantial improvements over its predecessor, EPT-1. Built specifically for the Europea
Externí odkaz:
http://arxiv.org/abs/2410.15076
Autor:
Musella, I., Leccia, S., Molinaro, R., Marconi, M., Cusano, F., Di Criscienzo, M., Fiorentino, G., Braga, V., Ripepi, V., De Somma, G., Gatto, M., Luongo, E., Sicignano, T.
An analysis of the Ultra Long Period Cepheids (ULPs) properties could significantly contribute to understanding the Hubble constant tension, e.g. the current discrepancy between determinations based on local distance indicators and those relying on c
Externí odkaz:
http://arxiv.org/abs/2410.12017
Autor:
Molinaro, Roberto, Lanthaler, Samuel, Raonić, Bogdan, Rohner, Tobias, Armegioiu, Victor, Wan, Zhong Yi, Sha, Fei, Mishra, Siddhartha, Zepeda-Núñez, Leonardo
We present a generative AI algorithm for addressing the challenging task of fast, accurate and robust statistical computation of three-dimensional turbulent fluid flows. Our algorithm, termed as GenCFD, is based on a conditional score-based diffusion
Externí odkaz:
http://arxiv.org/abs/2409.18359
In the Dynamic Bin Packing problem, $n$ items arrive and depart the system in an online manner, and the goal is to maintain a good packing throughout. We consider the objective of minimizing the total active time, i.e., the sum of the number of open
Externí odkaz:
http://arxiv.org/abs/2408.13178
Autor:
Ciranni, Massimiliano, Molinaro, Luca, Barbano, Carlo Alberto, Fiandrotti, Attilio, Murino, Vittorio, Pastore, Vito Paolo, Tartaglione, Enzo
In the last few years, due to the broad applicability of deep learning to downstream tasks and end-to-end training capabilities, increasingly more concerns about potential biases to specific, non-representative patterns have been raised. Many works f
Externí odkaz:
http://arxiv.org/abs/2408.09570
Autor:
Braga, V. F., Monelli, M., Dall'Ora, M., Mullen, J. P., Molinaro, R., Marconi, M., Szabó, R., Gallart, C.
The \textit{Vera C. Rubin} Observatory will start operations in 2025. During the first two years, too few visits per target per band will be available, meaning that mean magnitude measurements of variable stars will not be precise and thus, standard
Externí odkaz:
http://arxiv.org/abs/2407.20813
Autor:
Perez, Jérémy, Kovač, Grgur, Léger, Corentin, Colas, Cédric, Molinaro, Gaia, Derex, Maxime, Oudeyer, Pierre-Yves, Moulin-Frier, Clément
As large language models (LLMs) start interacting with each other and generating an increasing amount of text online, it becomes crucial to better understand how information is transformed as it passes from one LLM to the next. While significant rese
Externí odkaz:
http://arxiv.org/abs/2407.04503