Matthieu Kirchmeyer

I am a senior ML Scientist at Genentech in the Prescient Design team. I am developping ML generative and predictive models for molecular design.

I obtained a PhD degree at Sorbonne Université. My PhD research focused on improving out-of-distribution generalization of deep learning models in the setting of classification and physical dynamics modelling. I obtained a Master's degree at Mines Paris - PSL and at Ecole Normale Supérieure Paris Saclay (Master MVA).

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Publications

	Score-based 3D molecule generation with neural fields M. Kirchmeyer, P. O. Pinheiro, S. Saremi (equal contribution) NeurIPS 2024* ArXiv / OpenReview / code /
	Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design N. Tagasovka, J. Park, M. Kirchmeyer, ..., K. Cho Under Review ArXiv / code /
	Continuous PDE Dynamics Forecasting with Implicit Neural Representations Y. Yin, M. Kirchmeyer, J-Y. Franceschi, A. Rakotomamonjy, P. Gallinari (equal contribution) ICLR 2023 - Spotlight (notable-top-25%). Preliminary version at NeurIPS 2022 AI4Science Workshop, ICLR 2023 Neural Fields Workshop. arXiv / OpenReview / code /
	Diverse Weight Averaging for Out-of-Distribution Generalization A. Ramé, M. Kirchmeyer, T. Rahier, A. Rakotomamonjy, P. Gallinari, M. Cord (equal contribution) NeurIPS 2022. Preliminary version at ICML 2022 PODS Workshop* arXiv / OpenReview / code / slides / poster
	Generalizing to New Physical Systems via Context-Informed Dynamics Model M. Kirchmeyer, Y. Yin, J. Donà, N. Baskiotis, A. Rakotomamonjy, P. Gallinari (equal contribution) ICML 2022* arXiv / PMLR / code / slides / poster / video
	Mapping conditional distributions for domain adaptation under generalized target shift M. Kirchmeyer, A. Rakotomamonjy, E. de Bézenac, P. Gallinari ICLR 2022. Also presented at CAp 2022 (oral) arXiv / OpenReview / code / slides / poster / video
	Unsupervised domain adaptation with non-stochastic missing data M. Kirchmeyer, P. Gallinari, A. Rakotomamonjy, A. Mantrach ECML-PKDD 2021 - Data Mining and Knowledge Discovery journal. arXiv / journal link / pdf / code / slides

Older

Conformal Robotic Stereolithography
A. Stevens*, R. Oliver*, M. Kirchmeyer, J. Wu, L. Chin, E. Polsen, C. Archer, C. Boyle, J. Garber and J. Hart (*equal contribution)
3D Printing and Additive Manufacturing journal, 2016.
journal link

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