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Matthieu Kirchmeyer
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2020 – today
- 2024
- [i7]Natasa Tagasovska, Ji Won Park, Matthieu Kirchmeyer, Nathan C. Frey, Andrew Martin Watkins, Aya Abdelsalam Ismail, Arian Rokkum Jamasb, Edith Lee, Tyler Bryson, Stephen Ra, Kyunghyun Cho:
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design. CoRR abs/2407.21028 (2024) - 2023
- [b1]Matthieu Kirchmeyer:
Out-of-distribution Generalization in Deep Learning : Classification and Spatiotemporal Forecasting. (Généralisation hors-distribution en apprentissage profond : classification et prévision spatiotemporelle). Sorbonne University, Paris, France, 2023 - [c4]Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari:
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. ICLR 2023 - 2022
- [c3]Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari:
Mapping conditional distributions for domain adaptation under generalized target shift. ICLR 2022 - [c2]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 - [c1]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS 2022 - [i6]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) - [i5]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR abs/2205.09739 (2022) - [i4]Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari:
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. CoRR abs/2209.14855 (2022) - 2021
- [j1]Matthieu Kirchmeyer
Unsupervised domain adaptation with non-stochastic missing data. Data Min. Knowl. Discov. 35(6): 2714-2755 (2021) - [i3]Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach:
Unsupervised domain adaptation with non-stochastic missing data. CoRR abs/2109.09505 (2021) - [i2]Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari:
Mapping conditional distributions for domain adaptation under generalized target shift. CoRR abs/2110.15057 (2021)
2010 – 2019
- 2019
- [i1]Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari:
Regression with Conditional GAN. CoRR abs/1905.12868 (2019)
Coauthor Index
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