Zobrazeno 1 - 10
of 12 263
pro vyhledávání: '"Hachem, A"'
In this paper, we propose a new class of positive definite kernels based on the spectral truncation, which has been discussed in the fields of noncommutative geometry and $C^*$-algebra. We focus on kernels whose inputs and outputs are functions and g
Externí odkaz:
http://arxiv.org/abs/2405.17823
We consider a discrete-time system of n coupled random vectors, a.k.a. interacting particles. The dynamics involve a vanishing step size, some random centered perturbations, and a mean vector field which induces the coupling between the particles. We
Externí odkaz:
http://arxiv.org/abs/2403.17472
Recently, the increasing use of deep reinforcement learning for flow control problems has led to a new area of research, focused on the coupling and the adaptation of the existing algorithms to the control of numerical fluid dynamics environments. Al
Externí odkaz:
http://arxiv.org/abs/2402.17402
Approximate Message Passing (AMP) algorithmshave recently gathered significant attention across disciplines such as statistical physics, machine learning, and communication systems. This study aims to extend AMP algorithms to non-symmetric (elliptic)
Externí odkaz:
http://arxiv.org/abs/2402.08271
Publikováno v:
ICML 2024
Machine learning has a long collaborative tradition with several fields of mathematics, such as statistics, probability and linear algebra. We propose a new direction for machine learning research: $C^*$-algebraic ML $-$ a cross-fertilization between
Externí odkaz:
http://arxiv.org/abs/2402.02637
Autor:
Dhouib, Hachem, Baruteau, Clément, Mathis, Stéphane, Debras, Florian, Astoul, Aurélie, Rieutord, Michel
The Juno spacecraft has acquired exceptionally precise data on Jupiter's gravity field, offering invaluable insights into Jupiter's tidal response, interior structure, and dynamics, establishing crucial constraints. We develop a new model for calcula
Externí odkaz:
http://arxiv.org/abs/2311.03288
Autor:
Demni, Nizar, Kadri, Hachem
Random features have been introduced to scale up kernel methods via randomization techniques. In particular, random Fourier features and orthogonal random features were used to approximate the popular Gaussian kernel. The former is performed by a ran
Externí odkaz:
http://arxiv.org/abs/2310.07370
Autor:
Dhouib, Hachem, Baruteau, Clément, Mathis, Stéphane, Debras, Florian, Astoul, Aurélie, Rieutord, Michel
Gas giant planets are differentially rotating magnetic objects that have strong and complex interactions with their environment. In our Solar system, they interact with their numerous moons while exoplanets with very short orbital periods (hot Jupite
Externí odkaz:
http://arxiv.org/abs/2310.01031
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow, 2024, Vol. 34, Issue 8, pp. 3223-3252.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/HFF-11-2023-0713
Autor:
Breton, Sylvain N., Dhouib, Hachem, García, Rafael A., Brun, Allan Sacha, Mathis, Stéphane, Hernández, Fernando Pérez, Mathur, Savita, Dyrek, Achrène, Santos, Angela R. G., Pallé, Pere L.
Gravity modes (g modes), mixed gravito-acoustic modes (mixed modes), and gravito-inertial modes (gi modes) possess unmatched properties as probes for stars with radiative interiors. The structural and dynamical constraints that they are able to provi
Externí odkaz:
http://arxiv.org/abs/2309.15691