Zobrazeno 1 - 10
of 46 005
pro vyhledávání: '"Negri, A"'
Autor:
D'Amico, Francesco, Negri, Matteo
Transformers are one of the most successful architectures of modern neural networks. At their core there is the so-called attention mechanism, which recently interested the physics community as it can be written as the derivative of an energy functio
Externí odkaz:
http://arxiv.org/abs/2409.16112
Autor:
Evangelista, Y., Fiore, F., Campana, R., Baroni, G., Ceraudo, F., Della Casa, G., Demenev, E., Dilillo, G., Fiorini, M., Ghirlanda, G., Grassi, M., Guzmán, A., Hedderman, P., Marchesini, E. J., Morgante, G., Mele, F., Nava, L., Nogara, P., Nuti, A., Caballero, S. Pliego, Rashevskaya, I., Russo, F., Sottile, G., Lavagna, M., Colagrossi, A., Silvestrini, S., Quirino, M., Bechini, M., Brandonisio, A., De Cecio, F., Dottori, A., Troisi, i., Bertacin, R., Bellutti, P., Bertuccio, G., Burderi, L., Chen, T., Citossi, M., Di Salvo, T., Feroci, M., Ficorella, F., Gao, N., Grappasonni, C., Labanti, C., La Rosa, G., Leone, W., Malcovati, P., Negri, B., Pepponi, G., Perri, M., Piazzolla, R., Picciotto, A., Pirrotta, S., Puccetti, S., Rashevsky, A., Riggio, A., Rinaldi, M., Sanna, A., Santangelo, A., Tenzer, C., Tiberia, A., Trenti, M., Trevisan, S., Vacchi, A., Xiong, S., Zampa, G., Zampa, N., Zhang, S., Zorzi, N., Ripa, J., Werner, N.
Publikováno v:
Proceedings Volume 13093, Space Telescopes and Instrumentation 2024: Ultraviolet to Gamma Ray; 130931Z (2024)
HERMES (High Energy Rapid Modular Ensemble of Satellites) Pathfinder is a space-borne mission based on a constellation of six nano-satellites flying in a low-Earth orbit (LEO). The 3U CubeSats, to be launched in early 2025, host miniaturized instrume
Externí odkaz:
http://arxiv.org/abs/2409.00989
We present Speech-MASSIVE, a multilingual Spoken Language Understanding (SLU) dataset comprising the speech counterpart for a portion of the MASSIVE textual corpus. Speech-MASSIVE covers 12 languages from different families and inherits from MASSIVE
Externí odkaz:
http://arxiv.org/abs/2408.03900
Autor:
Kalaj, Silvio, Lauditi, Clarissa, Perugini, Gabriele, Lucibello, Carlo, Malatesta, Enrico M., Negri, Matteo
It has been recently shown that a learning transition happens when a Hopfield Network stores examples generated as superpositions of random features, where new attractors corresponding to such features appear in the model. In this work we reveal that
Externí odkaz:
http://arxiv.org/abs/2407.05658
Autor:
Fabiani, Sergio, Del Monte, Ettore, Baffo, Ilaria, Bonomo, Sergio, Brienza, Daniele, Campana, Riccardo, Centrone, Mauro, Contini, Gessica, Costa, Enrico, Cucinella, Giovanni, Curatolo, Andrea, De Angelis, Nicolas, De Cesare, Giovanni, Del Re, Andrea, Di Cosimo, Sergio, Di Filippo, Simone, Di Marco, Alessandro, Di Persio, Giuseppe, Donnarumma, Immacolata, Fanelli, Pierluigi, Leonetti, Paolo, Locarini, Alfredo, Loffredo, Pasqualino, Lombardi, Giovanni, Minervini, Gabriele, Modenini, Dario, Muleri, Fabio, Natalucci, Silvia, Negri, Andrea, Perelli, Massimo, Rossi, Monia, Rubini, Alda, Scalise, Emanuele, Soffitta, Paolo, Terracciano, Andrea, Tortora, Paolo, Zaccagnino, Emauele, Zambardi, Alessandro
The CUbesat Solar Polarimeter (CUSP) project is a future CubeSat mission orbiting the Earth aimed to measure the linear polarization of solar flares in the hard X-ray band, by means of a Compton scattering polarimeter. CUSP will allow us to study the
Externí odkaz:
http://arxiv.org/abs/2407.04748
Autor:
Lombardi, Giovanni, Fabiani, Sergio, Del Monte, Ettore, Costa, Enrico, Soffitta, Paolo, Muleri, Fabio, Baffo, Ilaria, Biancolini, Marco E., Bonomo, Sergio, Brienza, Daniele, Campana, Riccardo, Centrone, Mauro, Contini, Gessica, Cucinella, Giovanni, Curatolo, Andrea, De Angelis, Nicolas, De Cesare, Giovanni, Del Re, Andrea, Di Cosimo, Sergio, Di Filippo, Simone, Di Marco, Alessandro, Di Meo, Emanuele, Di Persio, Giuseppe, Donnarumma, Immacolata, Fanelli, Pierluigi, Leonetti, Paolo, Locarini, Alfredo, Loffredo, Pasqualino, Lopez, Andrea, Minervini, Gabriele, Modenini, Dario, Natalucci, Silvia, Negri, Andrea, Perelli, Massimo, Rossi, Monia, Rubini, Alda, Scalise, Emanuele, Terracciano, Andrea, Tortora, Paolo, Zaccagnino, Emanuele, Zambardi, Alessandro
The CUbesat Solar Polarimeter (CUSP) project aims to develop a constellation of two CubeSats orbiting the Earth to measure the linear polarization of solar flares in the hard X-ray band by means of a Compton scattering polarimeter on board of each sa
Externí odkaz:
http://arxiv.org/abs/2407.04135
Autor:
De Cesare, Giovanni, Fabiani, Sergio, Campana, Riccardo, Lombardi, Giovanni, Del Monte, Ettore, Costa, Enrico, Baffo, Ilaria, Bonomo, Sergio, Brienza, Daniele, Centrone, Mauro, Contini, Gessica, Cucinella, Giovanni, Curatolo, Andrea, De Angelis, Nicolas, Del Re, Andrea, Di Cosimo, Sergio, Di Filippo, Simone, Di Marco, Alessandro, Di Persio, Giuseppe, Donnarumma, Immacolata, Fanelli, Pierluigi, Leonetti, Paolo, Locarini, Alfredo, Loffredo, Pasqualino, Minervini, Gabriele, Modenini, Dario, Muleri, Fabio, Natalucci, Silvia, Negri, Andrea, Perelli, Massimo, Rossi, Monia, Rubini, Alda, Scalise, Emanuele, Soffitta, Paolo, Terracciano, Andrea, Tortora, Paolo, Zaccagnino, Emauele, Zambardi, Alessandro
The CUbesat Solar Polarimeter (CUSP) project is a CubeSat mission orbiting the Earth aimed to measure the linear polarization of solar flares in the hard X-ray band by means of a Compton scattering polarimeter. CUSP will allow to study the magnetic r
Externí odkaz:
http://arxiv.org/abs/2407.04134
This paper describes the FBK's participation in the Simultaneous Translation Evaluation Campaign at IWSLT 2024. For this year's submission in the speech-to-text translation (ST) sub-track, we propose SimulSeamless, which is realized by combining Alig
Externí odkaz:
http://arxiv.org/abs/2406.14177
Normalizing Flows (NFs) are powerful and efficient models for density estimation. When modeling densities on manifolds, NFs can be generalized to injective flows but the Jacobian determinant becomes computationally prohibitive. Current approaches eit
Externí odkaz:
http://arxiv.org/abs/2406.09116
Streaming speech-to-text translation (StreamST) is the task of automatically translating speech while incrementally receiving an audio stream. Unlike simultaneous ST (SimulST), which deals with pre-segmented speech, StreamST faces the challenges of h
Externí odkaz:
http://arxiv.org/abs/2406.06097