Matthieu Kirchmeyer

16 papers A* 5Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Score-based 3D molecule generation with neural fields. CoRR Matthieu Kirchmeyer, Pedro O. Pinheiro, Saeed Saremi
2025	J	`jnl`	Unified all-atom molecule generation with neural fields. CoRR Matthieu Kirchmeyer, Pedro O. Pinheiro, Emma Willett, Karolis Martinkus, Joseph Kleinhenz, Emily K. Makowski, Andrew M. Watkins, Vladimir Gligorijevic, Richard Bonneau, Saeed Saremi
2024	J	`jnl`	Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design. CoRR 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
2024	A*	`conf`	Score-based 3D molecule generation with neural fields. NeurIPS Matthieu Kirchmeyer, Pedro O. Pinheiro, Saeed Saremi
2023	A*	`conf`	Continuous PDE Dynamics Forecasting with Implicit Neural Representations. ICLR Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
2023	—	`—`	Out-of-distribution Generalization in Deep Learning : Classification and Spatiotemporal Forecasting. (Généralisation hors-distribution en apprentissage profond : classification et prévision spatiotemporelle). Matthieu Kirchmeyer
2022	J	`jnl`	Continuous PDE Dynamics Forecasting with Implicit Neural Representations. CoRR Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
2022	A*	`conf`	Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
2022	J	`jnl`	Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
2022	A*	`conf`	Generalizing to New Physical Systems via Context-Informed Dynamics Model. ICML Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari
2022	J	`jnl`	Generalizing to New Physical Systems via Context-Informed Dynamics Model. CoRR Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari
2022	A*	`conf`	Mapping conditional distributions for domain adaptation under generalized target shift. ICLR Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari
2021	J	`jnl`	Mapping conditional distributions for domain adaptation under generalized target shift. CoRR Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari
2021	J	`jnl`	Unsupervised domain adaptation with non-stochastic missing data. CoRR Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach
2021	J	`jnl`	Unsupervised domain adaptation with non-stochastic missing data. Data Min. Knowl. Discov. Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach
2019	J	`jnl`	Regression with Conditional GAN. CoRR Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari