Zobrazeno 1 - 10
of 8 223
pro vyhledávání: '"Finzi A"'
Publikováno v:
Clinical Ophthalmology, Vol Volume 18, Pp 2583-2591 (2024)
Alessandro Finzi,1 Simone Ottoboni,1 Mauro Cellini,1 Beniamino Corcioni,2 Caterina Gaudiano,2 Luigi Fontana1 1Ophthalmology Unit, Department of Experimental, Diagnostic and Specialty Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bolog
Externí odkaz:
https://doaj.org/article/154766702b294c199bee684fbdf7327b
Publikováno v:
Clinical Ophthalmology, Vol Volume 14, Pp 3699-3708 (2020)
Rino Frisina,1 Irene Gius,1 Michele Palmieri,2 Alessandro Finzi,3 Luigi Tozzi,1 Barbara Parolini2 1Department of Ophthalmology of University of Padova, Padova, Italy; 2Eyecare Clinic, Brescia, Italy; 3Villa Erbosa Di Bologna, Bologna, Emilia-Romagna,
Externí odkaz:
https://doaj.org/article/7f9c2585603f4e588b0e89d89ae0e0ef
Autor:
Lotfi, Sanae, Kuang, Yilun, Amos, Brandon, Goldblum, Micah, Finzi, Marc, Wilson, Andrew Gordon
Large language models (LLMs) with billions of parameters excel at predicting the next token in a sequence. Recent work computes non-vacuous compression-based generalization bounds for LLMs, but these bounds are vacuous for large models at the billion
Externí odkaz:
http://arxiv.org/abs/2407.18158
Dense linear layers are the dominant computational bottleneck in foundation models. Identifying more efficient alternatives to dense matrices has enormous potential for building more compute-efficient models, as exemplified by the success of convolut
Externí odkaz:
http://arxiv.org/abs/2406.06248
Publikováno v:
Clinical Ophthalmology, Vol Volume 13, Pp 2451-2459 (2019)
Costantino Schiavi, Alessandro Finzi, Mauro Cellini Department of Experimental, Diagnostic, and Specialty Medicine, Ophthalmology Service, University of Bologna, Bologna 40138, ItalyCorrespondence: Mauro CelliniPoliclinico Sant’Orsola-Malpighi, Oph
Externí odkaz:
https://doaj.org/article/0aefbcf03b4c4d76a0ab8d20ffba3ab6
Intracameral cefuroxime in combined pars plana vitrectomy and phacoemulsification: a study of safety
Autor:
Besozzi G, Di Salvatore A, Cardillo D, Finzi A, Pinackatt JS, Baldi A, Monfardini A, Forioli V, Frisina R, Parolini B
Publikováno v:
Clinical Ophthalmology, Vol Volume 12, Pp 1567-1570 (2018)
Gianluca Besozzi,1 Attilio Di Salvatore,2 Daniele Cardillo,2 Alessandro Finzi,2 Joseph Sajish Pinackatt,2 Andrea Baldi,2 Alessandro Monfardini,2 Valeria Forioli,2 Rino Frisina,3 Barbara Parolini2 1Department of Ophthalmology, Vito Fazzi Hospital, Lec
Externí odkaz:
https://doaj.org/article/712a6c9d746546429e0d13572dccd06f
Autor:
Tuckute, Greta, Finzi, Dawn, Margalit, Eshed, Zylberberg, Joel, Chung, SueYeon, Fyshe, Alona, Fedorenko, Evelina, Kriegeskorte, Nikolaus, Yates, Jacob, Grill-Spector, Kalanit, Kar, Kohitij
In recent years, neuroscience has made significant progress in building large-scale artificial neural network (ANN) models of brain activity and behavior. However, there is no consensus on the most efficient ways to collect data and design experiment
Externí odkaz:
http://arxiv.org/abs/2401.03376
Autor:
Lotfi, Sanae, Finzi, Marc, Kuang, Yilun, Rudner, Tim G. J., Goldblum, Micah, Wilson, Andrew Gordon
Modern language models can contain billions of parameters, raising the question of whether they can generalize beyond the training data or simply parrot their training corpora. We provide the first non-vacuous generalization bounds for pretrained lar
Externí odkaz:
http://arxiv.org/abs/2312.17173
By encoding time series as a string of numerical digits, we can frame time series forecasting as next-token prediction in text. Developing this approach, we find that large language models (LLMs) such as GPT-3 and LLaMA-2 can surprisingly zero-shot e
Externí odkaz:
http://arxiv.org/abs/2310.07820
Many areas of machine learning and science involve large linear algebra problems, such as eigendecompositions, solving linear systems, computing matrix exponentials, and trace estimation. The matrices involved often have Kronecker, convolutional, blo
Externí odkaz:
http://arxiv.org/abs/2309.03060