Zobrazeno 1 - 10
of 3 063
pro vyhledávání: '"Filipovich"'
Autor:
Tomasheva Rita, Filipovich Iryna
Publikováno v:
Vestnik of Vitebsk State Technological University, Iss 42, Pp 125-138 (2022)
The article considers the issues of technology development and evaluation of the quality of the dye-fat processes in the manufacture of leathers from cattle hides. The well-known technological schemes for performing liquid finishing operations of sem
Externí odkaz:
https://doaj.org/article/f046ad7ef9614fe2add9cf1b0454e8eb
Autor:
Filipovich, Matthew J., Lvovsky, A. I.
TorchOptics is an open-source Python library for differentiable Fourier optics simulations, developed using PyTorch to enable GPU-accelerated tensor computations and automatic differentiation. It provides a comprehensive framework for modeling, analy
Externí odkaz:
http://arxiv.org/abs/2411.18591
Optical training of large-scale Transformers and deep neural networks with direct feedback alignment
Autor:
Wang, Ziao, Müller, Kilian, Filipovich, Matthew, Launay, Julien, Ohana, Ruben, Pariente, Gustave, Mokaadi, Safa, Brossollet, Charles, Moreau, Fabien, Cappelli, Alessandro, Poli, Iacopo, Carron, Igor, Daudet, Laurent, Krzakala, Florent, Gigan, Sylvain
Modern machine learning relies nearly exclusively on dedicated electronic hardware accelerators. Photonic approaches, with low consumption and high operation speed, are increasingly considered for inference but, to date, remain mostly limited to rela
Externí odkaz:
http://arxiv.org/abs/2409.12965
Autor:
Buckley, Andy, Corpe, Louie, Filipovich, Matthew, Gutschow, Christian, Rozinsky, Nick, Thor, Simon, Yeh, Yoran, Yellen, Jamie
Histogramming is often taken for granted, but the power and compactness of partially aggregated, multidimensional summary statistics, and their fundamental connection to differential and integral calculus make them formidable statistical objects, esp
Externí odkaz:
http://arxiv.org/abs/2312.15070
Diffractive optical neural networks (DONNs) have emerged as a promising optical hardware platform for ultra-fast and energy-efficient signal processing for machine learning tasks, particularly in computer vision. Previous experimental demonstrations
Externí odkaz:
http://arxiv.org/abs/2310.03679
Publikováno v:
The Application of Clinical Genetics, Vol 2014, Iss default, Pp 55-66 (2014)
David Buchbinder,1 Diane J Nugent,1 Alexandra H Fillipovich2 1Division of Hematology, Children's Hospital of Orange County, Orange, CA, USA; 2Division of Immunology, Cincinnati Children's Hospital, Cincinnati, OH, USA Abstract: Wiskott–Aldrich synd
Externí odkaz:
https://doaj.org/article/e84a72bbbdf34c189636fd90949e830d
Autor:
Filipovich Oleg, Kopp Vadim
Publikováno v:
MATEC Web of Conferences, Vol 224, p 01114 (2018)
The process of one-parameter selective assembly of two parts is considered. Methods for reducing the probability of sorting errors are given. It is suggested to perform the sorting process according to the values of the parameter estimates. For this
Externí odkaz:
https://doaj.org/article/7f32f4ada9b3497eb8a903d913bd2c88
Alternatives to backpropagation have long been studied to better understand how biological brains may learn. Recently, they have also garnered interest as a way to train neural networks more efficiently. By relaxing constraints inherent to backpropag
Externí odkaz:
http://arxiv.org/abs/2210.14593
Publikováno v:
MATEC Web of Conferences, Vol 129, p 03026 (2017)
Consideration is given to a mathematical representation for manufacturing of batch parts on a metal-cutting machine tool. Linear dimensions of machined parts are assumed to be the major quality indicator, deviation from these dimensions is determined
Externí odkaz:
https://doaj.org/article/c0dcb0551046473cb3b6c27bfd79d420
Autor:
Bardelli, L., Zhang, C., Bustos, E., Arnosio, M., Becchio, R., Filipovich, R., Viramonte, J., Lucci, F.
Publikováno v:
In Journal of South American Earth Sciences 1 February 2025 152