Out-of-distribution Generalization in Deep Learning : Classification and Spatiotemporal Forecasting. (Généralisation hors-distribution en apprentissage profond : classification et prévision spatiotemporelle).

[BibT_eX]

[DOI]

Matthieu Kirchmeyer

PhD thesis, 2023

Continuous PDE Dynamics Forecasting with Implicit Neural Representations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Diverse Weight Averaging for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalizing to New Physical Systems via Context-Informed Dynamics Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Mapping conditional distributions for domain adaptation under generalized target shift.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Unsupervised domain adaptation with non-stochastic missing data.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

2019

Regression with Conditional GAN.

[BibT_eX]

[DOI]

CoRR, 2019

Matthieu Kirchmeyer

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