Victor Bouvier

Towards Clear Expectations for Uncertainty Estimation

Alexandre Abraham, Leo Dreyfus-Schmidt, Victor Bouvier, 2022, ArXiv.

Scalable parallel scheme for sampling of Gaussian random fields over very large domains

Régis Cottereau, L. de Carvalho Paludo, V. Bouvier, 2018, International Journal for Numerical Methods in Engineering.

Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation pdf

Philippe Very, Victor Bouvier, Cl'ement Chastagnol, 2019, ArXiv.

Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift

Etienne Bennequin, Victor Bouvier, Myriam Tami, 2021, ECML/PKDD.

Stochastic Adversarial Gradient Embedding for Active Domain Adaptation pdf

Céline Hudelot, Philippe Very, Victor Bouvier, 2020, IAL@PKDD/ECML.

Performance Prediction Under Dataset Shift

Victor Bouvier, Simona Maggio, L. Dreyfus-Schmidt, 2022, International Conference on Pattern Recognition.

A Priori Error Estimation for Random Field Generation and a Method to Make Random Generation Scalable in Massively Parallel Implementations

R. Cottereau, Victor Bouvier, L. D. C. Paludor, 2016 .

Robust Domain Adaptation: Representations, Weights and Inductive Bias pdf

Philippe Very, Victor Bouvier, Cl'ement Chastagnol, 2020, ECML/PKDD.