Diverse Weight Averaging for Out-of-Distribution Generalization A Rame*, M Kirchmeyer*, T Rahier, A Rakotomamonjy, P Gallinari, ... NeurIPS, 2022 | 134 | 2022 |
Continuous PDE Dynamics Forecasting with Implicit Neural Representations Y Yin*, M Kirchmeyer*, JY Franceschi*, A Rakotomamonjy, P Gallinari ICLR, 2023 | 74 | 2023 |
Benchmarking regression methods: A comparison with CGAN K Aggarwal, M Kirchmeyer, P Yadav, SS Keerthi, P Gallinari arXiv preprint arXiv:1905.12868, 2019 | 63* | 2019 |
Generalizing to New Physical Systems via Context-Informed Dynamics Model M Kirchmeyer*, Y Yin*, J Donà, N Baskiotis, A Rakotomamonjy, ... ICML, 2022 | 43 | 2022 |
Mapping conditional distributions for domain adaptation under generalized target shift M Kirchmeyer, A Rakotomamonjy, E de Bezenac, P Gallinari ICLR, 2022 | 23 | 2022 |
Conformal robotic stereolithography AG Stevens, CR Oliver, M Kirchmeyer, J Wu, L Chin, ES Polsen, C Archer, ... 3D Printing and Additive Manufacturing 3 (4), 226-235, 2016 | 21 | 2016 |
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design N Tagasovska*, JW Park*, M Kirchmeyer, NC Frey, AM Watkins, AA Ismail, ... | 5 | 2023 |
Unsupervised domain adaptation with non-stochastic missing data M Kirchmeyer, P Gallinari, A Rakotomamonjy, A Mantrach ECML-PKDD - Data Mining Knowledge Discovery journal, 2021 | 4* | 2021 |
Score-based 3D molecule generation with neural fields M Kirchmeyer*, PO Pinheiro*, S Saremi NeurIPS, 2024 | 1 | 2024 |
Accelerated refresh of Generalized Linear Models in production M Kirchmeyer, S Krichene, E Kharitonov DS3 Summer School, 2018 | 1 | 2018 |
Lab-in-the-loop therapeutic antibody design with deep learning NC Frey, I Hotzel, SD Stanton, RL Kelly, RG Alberstein, EK Makowski, ... bioRxiv, 2025.02. 19.639050, 2025 | | 2025 |
Out-of-distribution Generalization in Deep Learning: Classification and Spatiotemporal Forecasting M Kirchmeyer Sorbonne Université, 2023 | | 2023 |