| Diverse Weight Averaging for Out-of-Distribution Generalization A Rame*, M Kirchmeyer*, T Rahier, A Rakotomamonjy, P Gallinari, ... NeurIPS, 2022 | 116 | 2022 |
| Benchmarking regression methods: A comparison with CGAN K Aggarwal, M Kirchmeyer, P Yadav, SS Keerthi, P Gallinari arXiv preprint arXiv:1905.12868, 2019 | 61* | 2019 |
| Continuous PDE Dynamics Forecasting with Implicit Neural Representations Y Yin*, M Kirchmeyer*, JY Franceschi*, A Rakotomamonjy, P Gallinari ICLR, 2023 | 52 | 2023 |
| Generalizing to New Physical Systems via Context-Informed Dynamics Model M Kirchmeyer*, Y Yin*, J Donà, N Baskiotis, A Rakotomamonjy, ... ICML, 2022 | 38 | 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 |
| 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 |
| Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design N Tagasovska*, JW Park*, M Kirchmeyer, NC Frey, AM Watkins, AA Ismail, ... | 3 | 2023 |
| Accelerated refresh of Generalized Linear Models in production M Kirchmeyer, S Krichene, E Kharitonov DS3 Summer School, 2018 | 1 | 2018 |
| Score-based 3D molecule generation with neural fields M Kirchmeyer*, PO Pinheiro*, S Saremi NeurIPS, 2024 | | 2024 |
| Out-of-distribution Generalization in Deep Learning: Classification and Spatiotemporal Forecasting M Kirchmeyer Sorbonne Université, 2023 | | 2023 |
Patrick GallinariProfessor Sorbonne University / Criteo AI LabVerified email at sorbonne-universite.fr
