Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Priol, A. Le"'
In this work, we study and compare the influence of the Atlantic Multidecadal Variability (AMV) and of spring soil moisture in Southern Europe on the duration and intensity of European summer heat waves. We study common heat waves with return times o
Externí odkaz:
http://arxiv.org/abs/2405.10821
Computing the return times of extreme events and assessing the impact of climate change on such return times is fundamental to extreme event attribution studies. However, the rarity of such events in the observational record makes this task a challen
Externí odkaz:
http://arxiv.org/abs/2404.07791
Autor:
Lachapelle, Sébastien, López, Pau Rodríguez, Sharma, Yash, Everett, Katie, Priol, Rémi Le, Lacoste, Alexandre, Lacoste-Julien, Simon
This work introduces a novel principle for disentanglement we call mechanism sparsity regularization, which applies when the latent factors of interest depend sparsely on observed auxiliary variables and/or past latent factors. We propose a represent
Externí odkaz:
http://arxiv.org/abs/2401.04890
Autor:
Alexanian, Y., Lhotel, E., Ballou, R., Colin, C. V., Klein, H., Priol, A. Le, Museur, F., Robert, J., Pachoud, E., Lejay, P., Hadj-Azzem, A., Fåk, B., Berrod, Q., Zanotti, J. -M., Suard, E., Dejoie, C., de Brion, S., Simonet, V.
Geometrical frustration, as in pyrochlore lattices made of corner-sharing tetrahedra, precludes the onset of conventional magnetic ordering, enabling the stabilization of fluctuating spin states at low temperature. Disorder is a subtle ingredient tha
Externí odkaz:
http://arxiv.org/abs/2303.05483
We consider the problem of upper bounding the expected log-likelihood sub-optimality of the maximum likelihood estimate (MLE), or a conjugate maximum a posteriori (MAP) for an exponential family, in a non-asymptotic way. Surprisingly, we found no gen
Externí odkaz:
http://arxiv.org/abs/2111.06826
Autor:
Lachapelle, Sébastien, López, Pau Rodríguez, Sharma, Yash, Everett, Katie, Priol, Rémi Le, Lacoste, Alexandre, Lacoste-Julien, Simon
This work introduces a novel principle we call disentanglement via mechanism sparsity regularization, which can be applied when the latent factors of interest depend sparsely on past latent factors and/or observed auxiliary variables. We propose a re
Externí odkaz:
http://arxiv.org/abs/2107.10098
Autor:
Priol, Clément Le
Disordered systems submitted to a slowly increasing external stress often reacts with a jerky dynamics characterized by bursts of activity, called avalanches, which are the manifestation of an out-of-equilibrium phase transition. This thesis focuses
Externí odkaz:
http://arxiv.org/abs/2103.07701
Publikováno v:
Phys. Rev. Lett. 126, 025702 (2021)
Disordered elastic interfaces display avalanche dynamics at the depinning transition. For short-range interactions, avalanches correspond to compact reorganizations of the interface well described by the depinning theory. For long-range elasticity, a
Externí odkaz:
http://arxiv.org/abs/2008.10025
Consider a collection of datasets generated by unknown interventions on an unknown structural causal model $G$. Recently, Bengio et al. (2020) conjectured that among all candidate models, $G$ is the fastest to adapt from one dataset to another, along
Externí odkaz:
http://arxiv.org/abs/2005.09136
Autor:
Krueger, David, Caballero, Ethan, Jacobsen, Joern-Henrik, Zhang, Amy, Binas, Jonathan, Zhang, Dinghuai, Priol, Remi Le, Courville, Aaron
Distributional shift is one of the major obstacles when transferring machine learning prediction systems from the lab to the real world. To tackle this problem, we assume that variation across training domains is representative of the variation we mi
Externí odkaz:
http://arxiv.org/abs/2003.00688