Discretely Indexed Flows. - Elouan Argouarc'h; François Desbouvries; Eric Barat; Eiji Kawasaki; Thomas Dautremer (CoRR, 2022)

Data Subsampling for Bayesian Neural Networks. - Eiji Kawasaki; Markus Holzmann (CoRR, 2022)

Scaling-up Memristor Monte Carlo with magnetic domain-wall physics. - Thomas Dalgaty; Shogo Yamada; Anca Molnos; Eiji Kawasaki; Thomas Mesquida; François Rummens; Tatsuo Shibata; Yukihiro Urakawa; Yukio Terasaki; Tomoyuki Sasaki; Marc Duranton (CoRR, 2023)

Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement. - Han Wang; Eiji Kawasaki; Guillaume Damblin; Geoffrey Daniel (CoRR, 2024)

Generative vs. Discriminative modeling under the lens of uncertainty quantification. - Elouan Argouarc'h; François Desbouvries; Eric Barat; Eiji Kawasaki (CoRR, 2024)

Targetin the partition function of chemically disordered materials with a generative approach based on inverse variational autoencoders. - Maciej J. Karcz; Luca Messina; Eiji Kawasaki; Emeric Bourasseau (CoRR, 2024)

Classifier Weighted Mixture models. - Elouan Argouarc'h; François Desbouvries; Eric Barat; Eiji Kawasaki; Thomas Dautremer (CoRR, 2025)