Zobrazeno 1 - 10
of 16 250
pro vyhledávání: '"Molinaro A"'
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, Léger, Corentin, Kovač, Grgur, 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
Many classical problems in theoretical computer science involve norm, even if implicitly; for example, both XOS functions and downward-closed sets are equivalent to some norms. The last decade has seen a lot of interest in designing algorithms beyond
Externí odkaz:
http://arxiv.org/abs/2406.15180
Autor:
Di Criscienzo, M., Leccia, S., Braga, V., Musella, I., Bono, G., Dall'Ora, M., Fiorentino, G., Marconi, M., Molinaro, R., Ripepi, V., Girardi, L., Mazzi, A., Pastorelli, G., Trabucchi, M., Matsunaga, N., Monelli, M., Saha, A., Vivas, K., Sanchez, R. Zanmar
This work is part of VESTALE, a project initiated within the Rubin-LSST Cadence Strategy Optimization Process . Its goal is to explore the potential of Rubin-LSST observations aimed at the Galaxy's bulge (Bulge) for studying RR Lyrae stars (RRL). Obs
Externí odkaz:
http://arxiv.org/abs/2406.12488
Given any algorithm for convex optimization that uses exact first-order information (i.e., function values and subgradients), we show how to use such an algorithm to solve the problem with access to inexact first-order information. This is done in a
Externí odkaz:
http://arxiv.org/abs/2406.00576
We are improving one of the available lattice software packages HiRep by adding GPU acceleration supporting highly-optimized simulations on both NVIDIA and AMD GPUs. HiRep allows lattice simulations of theories with fermions in higher representations
Externí odkaz:
http://arxiv.org/abs/2405.19294