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of 514
pro vyhledávání: '"Staffler A"'
Large language models (LLMs) exhibit remarkable reasoning abilities, allowing them to generalize across a wide range of downstream tasks, such as commonsense reasoning or instruction following. However, as LLMs scale, inference costs become increasin
Externí odkaz:
http://arxiv.org/abs/2410.06479
Autor:
Sukthanker, Rhea Sanjay, Zela, Arber, Staffler, Benedikt, Klein, Aaron, Purucker, Lennart, Franke, Joerg K. H., Hutter, Frank
The increasing size of language models necessitates a thorough analysis across multiple dimensions to assess trade-offs among crucial hardware metrics such as latency, energy consumption, GPU memory usage, and performance. Identifying optimal model c
Externí odkaz:
http://arxiv.org/abs/2405.10299
Autor:
Sukthanker, Rhea Sanjay, Zela, Arber, Staffler, Benedikt, Dooley, Samuel, Grabocka, Josif, Hutter, Frank
Pareto front profiling in multi-objective optimization (MOO), i.e. finding a diverse set of Pareto optimal solutions, is challenging, especially with expensive objectives like neural network training. Typically, in MOO neural architecture search (NAS
Externí odkaz:
http://arxiv.org/abs/2402.18213
Autor:
Giovanni Vento, Angela Paladini, C. Aurilia, S. Alkan Ozdemir, V. P. Carnielli, F. Cools, S. Costa, F. Cota, C. Dani, P. G. Davis, S. Fattore, C. Fè, N. Finer, F. P. Fusco, C. Gizzi, E. Herting, M. Jian, A. Lio, G. Lista, F. Mosca, S. Nobile, A. Perri, S. Picone, J. J. Pillow, G. Polglase, T. Pasciuto, R. Pastorino, M. Tana, D. Tingay, C. Tirone, A. H. van Kaam, M. L. Ventura, A. Aceti, M. Agosti, G. Alighieri, G. Ancora, V. Angileri, G. Ausanio, S. Aversa, E. Balestri, E. Baraldi, M. C. Barbini, C. Barone, R. Beghini, C. Bellan, A. Berardi, I. Bernardo, P. Betta, M. Binotti, B. Bizzarri, G. Borgarello, S. Borgione, A. Borrelli, R. Bottino, G. Bracaglia, I. Bresesti, I. Burattini, C. Cacace, F. Calzolari, M. F. Campagnoli, L. Capasso, M. Capozza, M. G. Capretti, J. Caravetta, C. Carbonara, V. Cardilli, M. Carta, F. Castoldi, A. Castronovo, E. Cavalleri, F. Cavigioli, S. Cecchi, V. Chierici, C. Cimino, F. Cocca, C. Cocca, P. Cogo, M. Coma, V. Comito, V. Condò, C. Consigli, R. Conti, M. Corradi, G. Corsello, L. T. Corvaglia, A. Costa, A. Coscia, F. Cresi, F. Crispino, P. D’Amico, L. De Cosmo, C. De Maio, G. Del Campo, S. Di Credico, S. Di Fabio, P. Di Nicola, A. Di Paolo, S. Di Valerio, A. Distilo, V. Duca, A. Falcone, R. Falsaperla, V. A. Fasolato, V. Fatuzzo, F. Favini, M. P. Ferrarello, S. Ferrari, F. Fiori Nastro, C. A. Forcellini, A. Fracchiolla, A. Gabriele, F. Galdo, F. Gallini, A. Gangemi, G. Gargano, D. Gazzolo, M. P. Gentile, S. Ghirardello, F. Giardina, L. Giordano, E. Gitto, M. Giuffrè, L. Grappone, F. Grasso, I. Greco, A. Grison, R. Guglielmino, I. Guidotti, I. Guzzo, N. La Forgia, S. La Placa, G. La Torre, P. Lago, L. Lanciotti, A. Lavizzari, F. Leo, V. Leonardi, D. Lestingi, J. Li, P. Liberatore, D. Lodin, R. Lubrano, M. Lucente, S. Luciani, D. Luvarà, G. Maffei, A. Maggio, L. Maggio, K. Maiolo, L. Malaigia, G. Mangili, A. Manna, E. Maranella, A. Marciano, P. Marcozzi, M. Marletta, L. Marseglia, D. Martinelli, S. Martinelli, S. Massari, L. Massenzi, F. Matina, L. Mattia, G. Mescoli, I. V. Migliore, D. Minghetti, I. Mondello, S. Montano, G. Morandi, N. Mores, S. Morreale, I. Morselli, M. Motta, M. Napolitano, D. Nardo, A. Nicolardi, S. Nider, G. Nigro, M. Nuccio, L. Orfeo, C. Ottaviano, P. Paganin, S. Palamides, S. Palatta, P. Paolillo, M. G. Pappalardo, E. Pasta, L. Patti, G. Paviotti, R. Perniola, G. Perotti, S. Perrone, F. Petrillo, M. S. Piazza, A. Piccirillo, M. Pierro, E. Piga, G. A. Pingitore, S. Pisu, C. Pittini, F. Pontiggia, G. Pontrelli, A. Primavera, A. Proto, L. Quartulli, F. Raimondi, L. Ramenghi, M. Rapsomaniki, A. Ricotti, C. Rigotti, M. Rinaldi, F. M. Risso, E. Roma, E. Romanini, V. Romano, E. Rosati, V. Rosella, I. Rulli, V. Salvo, C. Sanfilippo, A. Sannia, A. Saporito, A. Sauna, E. Scapillati, F. Schettini, A. Scorrano, S. Semeria Mantelli, V. Sepporta, P. Sindico, A. Solinas, E. Sorrentino, E. Spaggiari, A. Staffler, M. Stella, D. Termini, G. Terrin, A. Testa, G. Tina, M. Tirantello, B. Tomasini, F. Tormena, L. Travan, D. Trevisanuto, G. Tuling, V. Tulino, L. Valenzano, S. Vedovato, S. Vendramin, P. E. Villani, S. Viola, V. Viola, G. Vitaliti, M. Vitaliti, P. Wanker, Y. Yang, S. Zanetta, E. Zannin
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Surfactant is a well-established therapy for preterm neonates affected by respiratory distress syndrome (RDS). The goals of different methods of surfactant administration are to reduce the duration of mechanical ventilation and th
Externí odkaz:
https://doaj.org/article/6d25d8972ebb4da7aceccdf7e22b30d8
Autor:
Elsken, Thomas, Zela, Arber, Metzen, Jan Hendrik, Staffler, Benedikt, Brox, Thomas, Valada, Abhinav, Hutter, Frank
The success of deep learning in recent years has lead to a rising demand for neural network architecture engineering. As a consequence, neural architecture search (NAS), which aims at automatically designing neural network architectures in a data-dri
Externí odkaz:
http://arxiv.org/abs/2202.07242
Autor:
Stefan Bartl, Yuanyun Xie, Nalini Potluri, Ratnesh Kesineni, Katlin Hencak, Louisa Dal Cengio, Katja Balazs, Abid Oueslati, Michela Parth, Nina Salhat, Alberto Siddu, Oskar Smrzka, Francesca Cicchetti, Günther Staffler, Michael R. Hayden, Amber L. Southwell
Publikováno v:
Neurobiology of Disease, Vol 193, Iss , Pp 106444- (2024)
Externí odkaz:
https://doaj.org/article/9f127a6b6c0642d8b90cf4f316b4916a
While neural architecture search methods have been successful in previous years and led to new state-of-the-art performance on various problems, they have also been criticized for being unstable, being highly sensitive with respect to their hyperpara
Externí odkaz:
http://arxiv.org/abs/2107.03719
Autor:
Iuri Corsini, Javier Rodriguez-Fanjul, Francesco Raimondi, Luca Boni, Alberto Berardi, Victoria Aldecoa-Bilbao, Almudena Alonso-Ojembarrena, Gina Ancora, Salvatore Aversa, Renzo Beghini, Nerea Bilbao Meseguer, Letizia Capasso, Francesca Chesi, Martina Ciarcià, Ana Concheiro, Luigi Corvaglia, Benjamim Ficial, Luca Filippi, Jesus Fuentes Carballal, Monica Fusco, Sara Gatto, Gemma Ginovart, Rebeca Gregorio-Hernández, Gianluca Lista, Manuel Sánchez-Luna, Silvia Martini, Luca Massenzi, Francesca Miselli, Domenica Mercadante, Fabio Mosca, Marta Teresa Palacio, Alessandro Perri, Francesca Piano, Marcelino Pumarada Prieto, Lorena Rodeno Fernandez, Francesco Maria Risso, Marilena Savoia, Alex Staffler, Giovanni Vento, Carlo Dani
Publikováno v:
Trials, Vol 24, Iss 1, Pp 1-11 (2023)
Abstract Background The management of respiratory distress syndrome (RDS) in premature newborns is based on different types of non-invasive respiratory support and on surfactant replacement therapy (SRT) to avoid mechanical ventilation as it may even
Externí odkaz:
https://doaj.org/article/50efaf74943742af9f3a794a9fc9c3e3
Autor:
Runge, Armin, Wenzel, Thomas, Bariamis, Dimitrios, Staffler, Benedikt Sebastian, Drumond, Lucas Rego, Pfeiffer, Michael
The widespread use of Deep Learning (DL) applications in science and industry has created a large demand for efficient inference systems. This has resulted in a rapid increase of available Hardware Accelerators (HWAs) making comparison challenging an
Externí odkaz:
http://arxiv.org/abs/2008.10293
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