Zobrazeno 1 - 10
of 12 969
pro vyhledávání: '"Rochette A"'
Publikováno v:
C. Laurent & C. Verdier. Mechanics of Living Tissues: Imaging, Characterization and Modeling Towards the Study of Soft Tissues, Wiley, pp.95-115, 2024, 9781789451603
The tongue is a crucial organ for performing basic biological functions, such as chewing, swallowing and phonation. Understanding how it behaves, its motor control and involvement in the execution of these different tasks is therefore an important is
Externí odkaz:
http://arxiv.org/abs/2407.13259
psifx is a plug-and-play multi-modal feature extraction toolkit, aiming to facilitate and democratize the use of state-of-the-art machine learning techniques for human sciences research. It is motivated by a need (a) to automate and standardize data
Externí odkaz:
http://arxiv.org/abs/2407.10266
Our study explores multipartite nonlocality by extending $2$-player nonlocal games to multiplayer games, where the players are positioned across the vertices of a graph. We characterize when $2$-player games cannot violate Bell nonlocality on graphs
Externí odkaz:
http://arxiv.org/abs/2405.20286
Autor:
Rochette, Denis
This thesis investigates quantum cloning and related quantum entanglement problems using core concepts of representation theory, in particular those associated with the symmetric group. The research explores Schur-Weyl duality and its extensions, whi
Externí odkaz:
http://arxiv.org/abs/2309.17229
Autor:
Allerstorfer, Rene, Christandl, Matthias, Grinko, Dmitry, Nechita, Ion, Ozols, Maris, Rochette, Denis, Lunel, Philip Verduyn
We investigate the extent to which two particles can be maximally entangled when they are also similarly entangled with other particles on a complete graph, focusing on Werner, isotropic, and Brauer states. To address this, we formulate and solve opt
Externí odkaz:
http://arxiv.org/abs/2309.16655
Autor:
Marcotte, Frédéric, Mouny, Pierre-Antoine, Yon, Victor, Dagnew, Gebremedhin A., Kulchytskyy, Bohdan, Rochette, Sophie, Beilliard, Yann, Drouin, Dominique, Ronagh, Pooya
Neural decoders for quantum error correction (QEC) rely on neural networks to classify syndromes extracted from error correction codes and find appropriate recovery operators to protect logical information against errors. Despite the good performance
Externí odkaz:
http://arxiv.org/abs/2307.09463
We introduce rainbow networks as a probabilistic model of trained deep neural networks. The model cascades random feature maps whose weight distributions are learned. It assumes that dependencies between weights at different layers are reduced to rot
Externí odkaz:
http://arxiv.org/abs/2305.18512
We present a new approach for synthesizing novel views of people in new poses. Our novel differentiable renderer enables the synthesis of highly realistic images from any viewpoint. Rather than operating over mesh-based structures, our renderer makes
Externí odkaz:
http://arxiv.org/abs/2303.15880
Autor:
Geoffrey Dogon, Eve Rigal, Eliot Potel, Marie Josse, Luc Rochette, Yannick Bejot, Catherine Vergely
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Growth/differentiation factor-15 (GDF15) is considered an unfavourable prognostic biomarker for cardiovascular disease in clinical data, while experimental studies suggest it has cardioprotective potential. This study focuses on the direct c
Externí odkaz:
https://doaj.org/article/e0a321d3aa0244c79d2008fc5a098b77
Publikováno v:
Chemistry Teacher International, Vol 6, Iss 2, Pp 149-163 (2024)
Lithium’s role in the global green energy transition provides an engaging context to visualize the interconnectedness of chemistry to seismic shifts taking place in society. Lithium has seen a dramatic increase in utilization, but given lithium’s
Externí odkaz:
https://doaj.org/article/88a7e93b204e455098dbeae00d7d2100