Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Migus, Leon"'
Publikováno v:
ICML 2023 Workshop on Synergy of Scientific and Machine Learning Modeling
For numerical design, the development of efficient and accurate surrogate models is paramount. They allow us to approximate complex physical phenomena, thereby reducing the computational burden of direct numerical simulations. We propose INFINITY, a
Externí odkaz:
http://arxiv.org/abs/2307.13538
Autor:
Naour, Etienne Le, Serrano, Louis, Migus, Léon, Yin, Yuan, Agoua, Ghislain, Baskiotis, Nicolas, Gallinari, Patrick, Guigue, Vincent
We introduce a novel modeling approach for time series imputation and forecasting, tailored to address the challenges often encountered in real-world data, such as irregular samples, missing data, or unaligned measurements from multiple sensors. Our
Externí odkaz:
http://arxiv.org/abs/2306.05880
Forecasting physical signals in long time range is among the most challenging tasks in Partial Differential Equations (PDEs) research. To circumvent limitations of traditional solvers, many different Deep Learning methods have been proposed. They are
Externí odkaz:
http://arxiv.org/abs/2305.17155
Publikováno v:
ICLR 2022 Workshop on Geometrical and Topological Representation Learning
Representing physical signals at different scales is among the most challenging problems in engineering. Several multi-scale modeling tools have been developed to describe physical systems governed by \emph{Partial Differential Equations} (PDEs). The
Externí odkaz:
http://arxiv.org/abs/2206.14687
Publikováno v:
ICLR 2022 Workshop on Geometrical and Topological Representation Learning
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, Apr 2022, En ligne, France
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, Apr 2022, En ligne, France
International audience; Representing physical signals at different scales is among the most challenging problems in engineering. Several multi-scale modeling tools have been developed to describe physical systems governed by Partial Differential Equa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::8b98046fefa38885cd38fea6658d6e79
https://hal.science/hal-03709247
https://hal.science/hal-03709247