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ORCIDEiji Kawasaki
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2020 – today
- 2024
[i6]Han Wang, Eiji Kawasaki, Guillaume Damblin, Geoffrey Daniel:
Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement. CoRR abs/2405.01761 (2024)- [i5]Elouan Argouarc'h, François Desbouvries, Eric Barat, Eiji Kawasaki:
Generative vs. Discriminative modeling under the lens of uncertainty quantification. CoRR abs/2406.09172 (2024) - [i4]Maciej J. Karcz, Luca Messina, Eiji Kawasaki, Emeric Bourasseau:
Targetin the partition function of chemically disordered materials with a generative approach based on inverse variational autoencoders. CoRR abs/2408.14928 (2024) - 2023
- [i3]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 abs/2312.02771 (2023) - 2022
- [i2]Elouan Argouarc'h, François Desbouvries, Eric Barat, Eiji Kawasaki, Thomas Dautremer:
Discretely Indexed Flows. CoRR abs/2204.01361 (2022) - [i1]Eiji Kawasaki, Markus Holzmann:
Data Subsampling for Bayesian Neural Networks. CoRR abs/2210.09141 (2022)
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