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Jérémie Donà
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2020 – today
- 2024
- [i6]Benoit Gaujac, Jérémie Donà, Liviu Copoiu, Timothy Atkinson, Thomas Pierrot, Thomas D. Barrett:
Learning the Language of Protein Structure. CoRR abs/2405.15840 (2024) - 2023
- [c6]Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully:
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. GECCO 2023: 119-128 - [i5]Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully:
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. CoRR abs/2306.05138 (2023) - 2022
- [b1]Jérémie Donà:
Statistical learning of physical dynamics. (Apprentissage statistique de dynamiques physiques). Sorbonne University, Paris, France, 2022 - [c5]Jérémie Donà, Marie Déchelle, Patrick Gallinari, Marina Levy:
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction. ICLR 2022 - [c4]Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari:
Generalizing to New Physical Systems via Context-Informed Dynamics Model. ICML 2022: 11283-11301 - [i4]Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari:
Generalizing to New Physical Systems via Context-Informed Dynamics Model. CoRR abs/2202.01889 (2022) - 2021
- [c3]Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. ICLR 2021 - [c2]Yuan Yin, Vincent Le Guen, Jérémie Donà, Emmanuel de Bézenac, Ibrahim Ayed, Nicolas Thome, Patrick Gallinari:
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. ICLR 2021 - [c1]Jérémie Donà, Patrick Gallinari:
Differentiable Feature Selection, A Reparameterization Approach. ECML/PKDD (3) 2021: 414-429 - [i3]Jérémie Donà, Patrick Gallinari:
Differentiable Feature Selection, a Reparameterization Approach. CoRR abs/2107.10030 (2021) - 2020
- [i2]Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. CoRR abs/2008.01352 (2020) - [i1]Vincent Le Guen, Yuan Yin, Jérémie Donà, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Thome, Patrick Gallinari:
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. CoRR abs/2010.04456 (2020)
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last updated on 2024-06-29 00:46 CEST by the dblp team
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