Eiji Kawasaki

According to our database, Eiji Kawasaki authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Thermodynamic properties of chemically disordered compounds via AI-driven estimation of partition function with the PULSE method.

Baptiste Bernard, Luca Messina, Eiji Kawasaki, Emeric Bourasseau

CoRR, May, 2026

Classifier Weighted Mixture Models.

Elouan Argouarc'h, François Desbouvries, Eric Barat, Eiji Kawasaki, Thomas Dautremer

IEEE Signal Process. Lett., 2026

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

Generative vs. Discriminative modeling under the lens of uncertainty quantification.

Elouan Argouarc'h, François Desbouvries, Eric Barat, Eiji Kawasaki

CoRR, 2024

Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement.

Han Wang, Eiji Kawasaki, Guillaume Damblin, Geoffrey Daniel

CoRR, 2024

2023

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

2022

Data Subsampling for Bayesian Neural Networks.

Eiji Kawasaki, Markus Holzmann

CoRR, 2022

Discretely Indexed Flows.

Elouan Argouarc'h, François Desbouvries, Eric Barat, Eiji Kawasaki, Thomas Dautremer

CoRR, 2022