Eiji Kawasaki

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 5

Top Topics

Dempster Shafer

Discriminatively Trained

Polynomial Regression

Top Venues

Publications

Elouan Argouarc'h, François Desbouvries, Eric Barat, Eiji Kawasaki
Generative vs. Discriminative modeling under the lens of uncertainty quantification. CoRR (2024)
Han Wang, Eiji Kawasaki, Guillaume Damblin, Geoffrey Daniel
Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement. CoRR (2024)
Thomas Dalgaty, Shogo Yamada, Anca Molnos, Eiji Kawasaki, Thomas Mesquida, François Rummens, Tatsuo Shibata, Yukihiro Urakawa, Yukio Terasaki, Tomoyuki Sasaki, Marc Duranton
Scaling-up Memristor Monte Carlo with magnetic domain-wall physics. CoRR (2023)
Eiji Kawasaki, Markus Holzmann
Data Subsampling for Bayesian Neural Networks. CoRR (2022)
Elouan Argouarc'h, François Desbouvries, Eric Barat, Eiji Kawasaki, Thomas Dautremer
Discretely Indexed Flows. CoRR (2022)