Zobrazeno 1 - 10
of 6 797
pro vyhledávání: '"Goujon, A."'
Autor:
Cornet, Antoine, Shen, Jie, Ronca, Alberto, Li, Shubin, Neuber, Nico, Frey, Maximilian, Pineda, Eloi, Deschamps, Thierry, Martinet, Christine, Floch, Sylvie Le, Cangialosi, Daniele, Chushkin, Yuriy, Zontone, Federico, Cammarata, Marco, Vaughan, Gavin B. M., di Michiel, Marco, Garbarino, Gaston, Busch, Ralf, Gallino, Isabella, Goujon, Celine, Legendre, Murielle, Manthilake, Geeth, Ruta, Beatrice
It is usually assumed that the memory of any thermo-mechanical protocol applied to a glass can be erased by heating the material in the supercooled liquid. While this is true for thermally treated amorphous solids, we show that hydrostatic compressio
Externí odkaz:
http://arxiv.org/abs/2409.13636
We present a general variational framework for the training of freeform nonlinearities in layered computational architectures subject to some slope constraints. The regularization that we add to the traditional training loss penalizes the second-orde
Externí odkaz:
http://arxiv.org/abs/2408.13114
Autor:
Song, Yewei, Ezzini, Saad, Tang, Xunzhu, Lothritz, Cedric, Klein, Jacques, Bissyandé, Tegawendé, Boytsov, Andrey, Ble, Ulrick, Goujon, Anne
Text-to-SQL, the task of translating natural language questions into SQL queries, is part of various business processes. Its automation, which is an emerging challenge, will empower software practitioners to seamlessly interact with relational databa
Externí odkaz:
http://arxiv.org/abs/2312.14725
We propose to learn non-convex regularizers with a prescribed upper bound on their weak-convexity modulus. Such regularizers give rise to variational denoisers that minimize a convex energy. They rely on few parameters (less than 15,000) and offer a
Externí odkaz:
http://arxiv.org/abs/2308.10542
Publikováno v:
ACS Omega, Vol 9, Iss 41, Pp 42433-42447 (2024)
Externí odkaz:
https://doaj.org/article/8da51c7c4e704306ac406e0602d21e6a
Autor:
Amr H. Saleh, Ghazal Borhan, Florent Goujon, Julien Devémy, Alain Dequidt, Patrice Malfreyt, Mehdi Sahihi
Publikováno v:
ACS Omega, Vol 9, Iss 36, Pp 38054-38065 (2024)
Externí odkaz:
https://doaj.org/article/1b4ee759a58f4a5587cf26f525823e7a
Autor:
Song, Yewei, Ezzini, Saad, Klein, Jacques, Bissyande, Tegawende, Lefebvre, Clément, Goujon, Anne
Natural language processing of Low-Resource Languages (LRL) is often challenged by the lack of data. Therefore, achieving accurate machine translation (MT) in a low-resource environment is a real problem that requires practical solutions. Research in
Externí odkaz:
http://arxiv.org/abs/2303.01347
Autor:
Goujon, Alexandre1 (AUTHOR) alexandre.goujon@ensam.eu, Rosin, Frédéric1 (AUTHOR), Magnani, Florian2,3 (AUTHOR), Lamouri, Samir1 (AUTHOR), Pellerin, Robert4 (AUTHOR), Joblot, Laurent5 (AUTHOR)
Publikováno v:
International Journal of Production Research. Sep2024, Vol. 62 Issue 17, p6064-6089. 26p.
The emergence of deep-learning-based methods to solve image-reconstruction problems has enabled a significant increase in reconstruction quality. Unfortunately, these new methods often lack reliability and explainability, and there is a growing inter
Externí odkaz:
http://arxiv.org/abs/2211.12461
Publikováno v:
Open Ceramics, Vol 19, Iss , Pp 100613- (2024)
In this study, nanoparticles of perovskiteCaZrO3 were prepared by a solution combustion technique using urea, glycine, β-alanineand citric acid as fuels. The aim of this work is to estimate the effect of these different fuels on the structure and mi
Externí odkaz:
https://doaj.org/article/e8aeaa3505204f5e93920863462ad70a