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Cyril Furtlehner
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Publications
- 2023
- [j4]Burak Yelmen, Aurélien Decelle, Leila Lea Boulos, Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Flora Jay:
Deep convolutional and conditional neural networks for large-scale genomic data generation. PLoS Comput. Biol. 19(10) (2023) - [i16]Aurélien Decelle, Cyril Furtlehner, Alfonso De Jesus Navas Gómez, Beatriz Seoane:
Inferring effective couplings with Restricted Boltzmann Machines. CoRR abs/2309.02292 (2023) - 2022
- [i15]Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane:
Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling. CoRR abs/2206.01310 (2022) - 2021
- [c11]Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane:
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines. NeurIPS 2021: 5345-5359 - [i14]Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane:
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines. CoRR abs/2105.13889 (2021) - 2020
- [c10]Giancarlo Fissore, Yufei Han, Aurélien Decelle, Cyril Furtlehner:
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines. STAIRS@ECAI 2020 - [i13]Aurélien Decelle, Cyril Furtlehner:
Restricted Boltzmann Machine, recent advances and mean-field theory. CoRR abs/2011.11307 (2020) - 2019
- [i12]Aurélien Decelle, Cyril Furtlehner:
Gaussian-Spherical Restricted Boltzmann Machines. CoRR abs/1910.14544 (2019) - [i11]Giancarlo Fissore, Aurélien Decelle, Cyril Furtlehner, Yufei Han:
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines. CoRR abs/1912.09382 (2019) - 2018
- [i10]Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner:
Thermodynamics of Restricted Boltzmann Machines and related learning dynamics. CoRR abs/1803.01960 (2018) - 2017
- [i9]Aurélien Decelle, Giancarlo Fissore, Cyril Furtlehner:
Spectral Learning of Restricted Boltzmann Machines. CoRR abs/1708.02917 (2017)
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