no code implementations • 29 Sep 2023 • Sergio P. Perez, Yan Zhang, James Briggs, Charlie Blake, Josh Levy-Kramer, Paul Balanca, Carlo Luschi, Stephen Barlow, Andrew William Fitzgibbon
FP8 formats are gaining popularity to boost the computational efficiency for training and inference of large deep learning models.
1 code implementation • NeurIPS 2021 • Mario Michael Krell, Matej Kosec, Sergio P. Perez, Andrew Fitzgibbon
We show in this paper that the variation in sequence lengths in common NLP datasets is such that up to 50% of all tokens can be padding.
no code implementations • 21 Jul 2020 • José A. Carrillo, Serafim Kalliadasis, Fuyue Liang, Sergio P. Perez
We then compare the prediction accuracy of the neural network with and without applying the Cahn-Hilliard filter to the damaged images test.
1 code implementation • 3 Dec 2018 • José A. Carrillo, Serafim Kalliadasis, Sergio P. Perez, Chi-Wang Shu
Well balanced and free energy dissipative first- and second-order accurate finite volume schemes are proposed for a general class of hydrodynamic systems with linear and nonlinear damping.
Numerical Analysis Statistical Mechanics Applied Physics Computational Physics Fluid Dynamics 35Lxx, 65Yxx, 65Zxx, 82Bxx, 82Dxx