Zobrazeno 1 - 10
of 12 964
pro vyhledávání: '"Delattre A"'
This paper investigates the limitations of transformers for entity-tracking tasks in large language models. We identify a theoretical constraint, showing that transformers require at least $\log_2 (n+1)$ layers to handle entity tracking with $n$ stat
Externí odkaz:
http://arxiv.org/abs/2410.05565
Recent works have shown an interest in investigating the frequentist asymptotic properties of Bayesian procedures for high-dimensional linear models under sparsity constraints. However, there exists a gap in the literature regarding analogous theoret
Externí odkaz:
http://arxiv.org/abs/2405.01206
Publikováno v:
Phys. Rev. Research Vol. 6, 043038 (2024)
Cavity optomechanics implements a unique platform where moving objects can be probed by quantum fields, either laser light or microwave signals. With a pump tone driving at a frequency above the cavity resonance, self-sustained oscillations can be tr
Externí odkaz:
http://arxiv.org/abs/2403.03509
This paper leverages the use of \emph{Gram iteration} an efficient, deterministic, and differentiable method for computing spectral norm with an upper bound guarantee. Designed for circular convolutional layers, we generalize the use of the Gram iter
Externí odkaz:
http://arxiv.org/abs/2402.00240
Autor:
Delattre, Victor, Cambronero, Sophie, Chen, Yao, Ter Haar, Gail, Rivens, Ian, Polton, Gerry, Lafon, Cyril, Melodelima, David
Publikováno v:
Ultrasonics, 2024, 138, pp.107239
A toroidal high-intensity focused ultrasound (HIFU) transducer was used to expose normal bladder wall tissues non-invasively in vivo in a porcine model in order to investigate the potential to treat bladder tumors. The transducer was divided into 32
Externí odkaz:
http://arxiv.org/abs/2401.10576
Autor:
Anne-Cécile Ezanno, Florie Pirot, Julie Lavolé, Guillaume Le Gall, Raphaelle Mestiri, Charlotte Delattre, Sébastien Le Burel, Sandra Le Mener, Marie Gominet, Cécile Ficko, Hubert Nielly
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Objective Structured Clinical Examinations (OSCEs) aim to assess medical students’ clinical skills rather than just their theoretical knowledge. We propose a study between the learning style of second-cycle medical students and
Externí odkaz:
https://doaj.org/article/3fcf1b538909493789a233df30ff48c7
Real-life applications of deep neural networks are hindered by their unsteady predictions when faced with noisy inputs and adversarial attacks. The certified radius in this context is a crucial indicator of the robustness of models. However how to de
Externí odkaz:
http://arxiv.org/abs/2309.16883
Autor:
Delattre, Fabien, Dirnfeld, David, Nguyen, Phat, Scarano, Stephen, Jones, Michael J., Miraldo, Pedro, Learned-Miller, Erik
We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video. While camera rotation estimation is a well-studied problem, no previous methods exhibit both high accuracy and acceptable speed in this
Externí odkaz:
http://arxiv.org/abs/2309.08588
Latent variable models are powerful tools for modeling complex phenomena involving in particular partially observed data, unobserved variables or underlying complex unknown structures. Inference is often difficult due to the latent structure of the m
Externí odkaz:
http://arxiv.org/abs/2306.12841
Since the control of the Lipschitz constant has a great impact on the training stability, generalization, and robustness of neural networks, the estimation of this value is nowadays a real scientific challenge. In this paper we introduce a precise, f
Externí odkaz:
http://arxiv.org/abs/2305.16173