Zobrazeno 1 - 10
of 347 510
pro vyhledávání: '"A. GERARD"'
Autor:
A. Gerard, M. Toussaint-Thorin, Y. Mohammad, G. Letellier, S. Fritot, S. Masson, A. Duhamel, C. Donskoff, Y. Zagame, L. Beghin, L. Gottrand
Publikováno v:
Trials, Vol 23, Iss 1, Pp 1-13 (2022)
Abstract Background Upper limb impairment affects activity and participation in children with unilateral cerebral palsy (UCP). Pressure garment therapy (PGT) using compressive dynamic Lycra® garments is an innovative intervention proposed for the ma
Externí odkaz:
https://doaj.org/article/bcc0d64d2e2346c0bb2b8a2db1b7dd6e
Autor:
Zhang, Xiaohan, Starke, Sebastian, Guzov, Vladimir, Zhang, Zhensong, Pellitero, Eduardo Pérez, Pons-Moll, Gerard
Synthesizing natural human motion that adapts to complex environments while allowing creative control remains a fundamental challenge in motion synthesis. Existing models often fall short, either by assuming flat terrain or lacking the ability to con
Externí odkaz:
http://arxiv.org/abs/2412.15664
Autor:
Lemoine, Antoine, Corre, Brieg Le, Morice, Lise, Harouri, Abdelmounaïm, Gratiet, Luc Le, Beaudoin, Grégoire, Pouliquen, Julie Le, Tavernier, Karine, Grisard, Arnaud, Combrié, Sylvain, Gérard, Bruno, Cornet, Charles, Dumeige, Yannick, Pantzas, Konstantinos, Sagnes, Isabelle, Léger, Yoan
Achieving high conversion efficiencies in second-order nonlinear optical processes is a key challenge in integrated photonics for both classical and quantum applications. This paper presents the first demonstration of Transverse Orientation-Patterned
Externí odkaz:
http://arxiv.org/abs/2412.15754
We study the dynamics of gradient flow in high dimensions for the multi-spiked tensor problem, where the goal is to estimate $r$ unknown signal vectors (spikes) from noisy Gaussian tensor observations. Specifically, we analyze the maximum likelihood
Externí odkaz:
http://arxiv.org/abs/2412.14650
The emergence of finetuning-as-a-service has revealed a new vulnerability in large language models (LLMs). A mere handful of malicious data uploaded by users can subtly manipulate the finetuning process, resulting in an alignment-broken model. Existi
Externí odkaz:
http://arxiv.org/abs/2412.12497
We propose receivers for bistatic sensing and communication that exploit a tensor modeling of the received signals. We consider a hybrid scenario where the sensing link knows the transmitted data to estimate the target parameters while the communicat
Externí odkaz:
http://arxiv.org/abs/2412.12435
Wildfire monitoring and prediction are essential for understanding wildfire behaviour. With extensive Earth observation data, these tasks can be integrated and enhanced through multi-task deep learning models. We present a comprehensive multi-tempora
Externí odkaz:
http://arxiv.org/abs/2412.11555
Autor:
Zhang, Xiechi, Zheng, Shunfan, Wang, Linlin, de Melo, Gerard, Cao, Zhu, Wang, Xiaoling, He, Liang
As multimodal large language models (MLLMs) gain prominence in the medical field, the need for precise evaluation methods to assess their effectiveness has become critical. While benchmarks provide a reliable means to evaluate the capabilities of MLL
Externí odkaz:
http://arxiv.org/abs/2412.11453
Given that visual foundation models (VFMs) are trained on extensive datasets but often limited to 2D images, a natural question arises: how well do they understand the 3D world? With the differences in architecture and training protocols (i.e., objec
Externí odkaz:
http://arxiv.org/abs/2412.09606
Autor:
Stemer, Dominik, Thuermer, Stephan, Trinter, Florian, Hergenhahn, Uwe, Pugini, Michele, Credidio, Bruno, Malerz, Sebastian, Wilkinson, Iain, Nahon, Laurent, Meijer, Gerard, Powis, Ivan, Winter, Bernd
Amino acids and other small chiral molecules play key roles in biochemistry. However, in order to understand how these molecules behave in vivo, it is necessary to study them under aqueous-phase conditions. Photoelectron circular dichroism (PECD) has
Externí odkaz:
http://arxiv.org/abs/2412.08729