Прати
Matthieu Kirchmeyer
Matthieu Kirchmeyer
Roche / Genentech
Верификована је имејл адреса на roche.com - Почетна страница
Наслов
Навело
Навело
Година
Diverse Weight Averaging for Out-of-Distribution Generalization
A Rame*, M Kirchmeyer*, T Rahier, A Rakotomamonjy, P Gallinari, ...
NeurIPS, 2022
1342022
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Y Yin*, M Kirchmeyer*, JY Franceschi*, A Rakotomamonjy, P Gallinari
ICLR, 2023
742023
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
432022
Mapping conditional distributions for domain adaptation under generalized target shift
M Kirchmeyer, A Rakotomamonjy, E de Bezenac, P Gallinari
ICLR, 2022
232022
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
212016
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design
N Tagasovska*, JW Park*, M Kirchmeyer, NC Frey, AM Watkins, AA Ismail, ...
52023
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
12024
Accelerated refresh of Generalized Linear Models in production
M Kirchmeyer, S Krichene, E Kharitonov
DS3 Summer School, 2018
12018
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
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Чланци 1–12