Zobrazeno 1 - 10
of 4 921
pro vyhledávání: '"Serre, P."'
Autor:
Colin, Julien, Goetschalckx, Lore, Fel, Thomas, Boutin, Victor, Gopal, Jay, Serre, Thomas, Oliver, Nuria
Much of the research on the interpretability of deep neural networks has focused on studying the visual features that maximally activate individual neurons. However, recent work has cast doubts on the usefulness of such local representations for unde
Externí odkaz:
http://arxiv.org/abs/2411.03993
Autor:
Cheng, Yu-Ang, Rodriguez, Ivan Felipe, Chen, Sixuan, Kar, Kohitij, Watanabe, Takeo, Serre, Thomas
Current neural network models of primate vision focus on replicating overall levels of behavioral accuracy, often neglecting perceptual decisions' rich, dynamic nature. Here, we introduce a novel computational framework to model the dynamics of human
Externí odkaz:
http://arxiv.org/abs/2411.03630
Autor:
Muzellec, Sabine, Linsley, Drew, Ashok, Alekh K., Mingolla, Ennio, Malik, Girik, VanRullen, Rufin, Serre, Thomas
Objects we encounter often change appearance as we interact with them. Changes in illumination (shadows), object pose, or movement of nonrigid objects can drastically alter available image features. How do biological visual systems track objects as t
Externí odkaz:
http://arxiv.org/abs/2410.02094
Autor:
Serre, Denis
An accurate functional inequality for Div-BV positive symmetric tensors $A$ in a bounded domain $U\subset\mathbb{R}^n$ arises whenever the tangential part of the normal trace $\gamma_\nu A\sim A\vec\nu$ is a finite measure over $\partial U$. The proo
Externí odkaz:
http://arxiv.org/abs/2409.12511
Publikováno v:
Conference on Neural Information Processing Systems (NeurIPS), Dec 2024
Recent studies suggest that deep learning models inductive bias towards favoring simpler features may be one of the sources of shortcut learning. Yet, there has been limited focus on understanding the complexity of the myriad features that models lea
Externí odkaz:
http://arxiv.org/abs/2407.06076
Autor:
Serré, Gaëtan, Beja-Battais, Perceval, Chirrane, Sophia, Kalogeratos, Argyris, Vayatis, Nicolas
In this paper, we propose simple yet effective empirical improvements to the algorithms of the LIPO family, introduced in [Malherbe2017], that we call LIPO+ and AdaLIPO+. We compare our methods to the vanilla versions of the algorithms over standard
Externí odkaz:
http://arxiv.org/abs/2406.19723
Autor:
Lepori, Michael A., Tartaglini, Alexa R., Vong, Wai Keen, Serre, Thomas, Lake, Brenden M., Pavlick, Ellie
Though vision transformers (ViTs) have achieved state-of-the-art performance in a variety of settings, they exhibit surprising failures when performing tasks involving visual relations. This begs the question: how do ViTs attempt to perform tasks tha
Externí odkaz:
http://arxiv.org/abs/2406.15955
Autor:
Boutin, Victor, Mukherji, Rishav, Agrawal, Aditya, Muzellec, Sabine, Fel, Thomas, Serre, Thomas, VanRullen, Rufin
Humans can effortlessly draw new categories from a single exemplar, a feat that has long posed a challenge for generative models. However, this gap has started to close with recent advances in diffusion models. This one-shot drawing task requires pow
Externí odkaz:
http://arxiv.org/abs/2406.06079
Autor:
Linsley, Drew, Zhou, Peisen, Ashok, Alekh Karkada, Nagaraj, Akash, Gaonkar, Gaurav, Lewis, Francis E, Pizlo, Zygmunt, Serre, Thomas
Visual perspective taking (VPT) is the ability to perceive and reason about the perspectives of others. It is an essential feature of human intelligence, which develops over the first decade of life and requires an ability to process the 3D structure
Externí odkaz:
http://arxiv.org/abs/2406.04138
Autor:
Varennes, R, Dif-Pradalier, G, Ghendrih, P, Grandgirard, V, Panico, O, Sarazin, Y, Serre, E, Zarzoso, D
Relaxations of localized over-density in a plane transverse to the magnetic field are numericallyinvestigated under the effect of drift-wave and interchange drives in SOL conditions. Such a controlleddeparture from thermodynamic equilibrium allows th
Externí odkaz:
http://arxiv.org/abs/2406.03277