Zobrazeno 1 - 10
of 10 102
pro vyhledávání: '"Menard, P."'
Autor:
Scheid, Antoine, Boursier, Etienne, Durmus, Alain, Jordan, Michael I., Ménard, Pierre, Moulines, Eric, Valko, Michal
Reinforcement Learning from Human Feedback (RLHF) has become a popular approach to align language models (LMs) with human preferences. This method involves collecting a large dataset of human pairwise preferences across various text generations and u
Externí odkaz:
http://arxiv.org/abs/2410.17055
Upon almost-every realisation of the Brownian continuum random tree (CRT), it is possible to define a canonical diffusion process or `Brownian motion'. The main result of this article establishes that the cover time of the Brownian motion on the Brow
Externí odkaz:
http://arxiv.org/abs/2410.03922
Autor:
Villenave, Marion, Stapelfeldt, Karl R., Duchene, Gaspard, Menard, Francois, Perrin, Marshall D., Pinte, Christophe, Wolff, Schuyler G., Tazaki, Ryo, Padgett, Deborah L.
We present JWST broadband images of the highly inclined protoplanetary disk SSTc2d J163131.2-242627 (Oph163131) from 2.0 to 21$\mu$m. The images show a remarkable evolution in disk structure with wavelength, quite different from previous JWST observa
Externí odkaz:
http://arxiv.org/abs/2410.00156
Autor:
Guth, Florentin, Ménard, Brice
We explore the universality of neural encodings in convolutional neural networks trained on image classification tasks. We develop a procedure to directly compare the learned weights rather than their representations. It is based on a factorization o
Externí odkaz:
http://arxiv.org/abs/2409.19460
Autor:
Perrault, Pierre, Belomestny, Denis, Ménard, Pierre, Moulines, Éric, Naumov, Alexey, Tiapkin, Daniil, Valko, Michal
In this paper, we introduce a novel approach for bounding the cumulant generating function (CGF) of a Dirichlet process (DP) $X \sim \text{DP}(\alpha \nu_0)$, using superadditivity. In particular, our key technical contribution is the demonstration o
Externí odkaz:
http://arxiv.org/abs/2409.18621
Autor:
Ruelle, Mélanie, Frigerio, Elric, Baudin, Emmanuel, Berroir, Jean-Marc, Plaçais, Bernard, Grémaud, Benoit, Jonckheere, Thibaut, Martin, Thierry, Rech, Jérôme, Cavanna, Antonella, Gennser, Ulf, Jin, Yong, Ménard, Gerbold, Fève, Gwendal
Contrary to fermions and bosons, anyons are quasiparticles that keep a robust memory of particle exchanges via a braiding phase factor. This provides them with unique dynamical properties so far unexplored. When an anyon excitation is emitted toward
Externí odkaz:
http://arxiv.org/abs/2409.08685
How does the human visual cortex encode sensory information? To address this question, we explore the covariance structure of neural representations. We perform a cross-decomposition analysis of fMRI responses to natural images in multiple individual
Externí odkaz:
http://arxiv.org/abs/2409.06843
Autor:
Chahine, Layal, Ceccarelli, Cecilia, De Simone, Marta, Chandler, Claire J., Codella, Claudio, Podio, Linda, López-Sepulcre, Ana, Svoboda, Brian, Sabatini, Giovanni, Sakai, Nami, Loinard, Laurent, Vastel, Charlotte, Balucani, Nadia, Rimola, Albert, Ugliengo, Piero, Aikawa, Yuri, Bianchi, Eleonora, Bouvier, Mathilde, Caselli, Paola, Charnley, Steven, Cuello, Nicolás, Hanawa, Tomoyuki, Johnstone, Doug, Maureira, Maria José, Ménard, Francois, Shirley, Yancy, Testi, Leonardo, Yamamoto, Satoshi
Molecular deuteration is a powerful diagnostic tool for probing the physical conditions and chemical processes in astrophysical environments. In this work, we focus on formaldehyde deuteration in the protobinary system NGC\,1333 IRAS\,4A, located in
Externí odkaz:
http://arxiv.org/abs/2408.15517
Autor:
Bartolomei, Hugo, Frigerio, Elric, Ruelle, Mélanie, Rebora, Giacomo, Jin, Yong, Gennser, Ulf, Cavanna, Antonella, Baudin, Emmanuel, Berroir, Jean-Marc, Safi, Ines, Degiovanni, Pascal, Ménard, Gerbold C., Fève, Gwendal
Characterizing quantum states of the electromagnetic field at microwave frequencies requires fast and sensitive detectors that can simultaneously probe the field time-dependent amplitude and its quantum fluctuations. In this work, we demonstrate a qu
Externí odkaz:
http://arxiv.org/abs/2408.12903
Autor:
Besrour, Marwan, Lavoie, Jacob, Omrani, Takwa, Martin-Hardy, Gabriel, Koleibi, Esmaeil Ranjbar, Menard, Jeremy, Koua, Konin, Marcoux, Philippe, Boukadoum, Mounir, Fontaine, Rejean
The computational complexity of deep learning algorithms has given rise to significant speed and memory challenges for the execution hardware. In energy-limited portable devices, highly efficient processing platforms are indispensable for reproducing
Externí odkaz:
http://arxiv.org/abs/2408.07734