Picture for Wataru Kumagai

Wataru Kumagai

Langevin Autoencoders for Learning Deep Latent Variable Models

Sep 15, 2022
Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo

Figure 1 for Langevin Autoencoders for Learning Deep Latent Variable Models

Figure 2 for Langevin Autoencoders for Learning Deep Latent Variable Models

Figure 3 for Langevin Autoencoders for Learning Deep Latent Variable Models

Figure 4 for Langevin Autoencoders for Learning Deep Latent Variable Models

* accepted at Neural Information Processing Systems (NeurIPS 2022)

Access Paper or Ask Questions

Equivariant and Invariant Reynolds Networks

Oct 15, 2021
Akiyoshi Sannai, Makoto Kawano, Wataru Kumagai

Figure 1 for Equivariant and Invariant Reynolds Networks

Figure 2 for Equivariant and Invariant Reynolds Networks

Figure 3 for Equivariant and Invariant Reynolds Networks

Figure 4 for Equivariant and Invariant Reynolds Networks

* 15 pages, 4 figures

Access Paper or Ask Questions

Universal Approximation Theorem for Equivariant Maps by Group CNNs

Dec 27, 2020
Wataru Kumagai, Akiyoshi Sannai

Figure 1 for Universal Approximation Theorem for Equivariant Maps by Group CNNs

Access Paper or Ask Questions

Variable Selection for Nonparametric Learning with Power Series Kernels

Jun 02, 2018
Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, Takafumi Kanamori

Access Paper or Ask Questions

Regret Analysis for Continuous Dueling Bandit

Dec 12, 2017
Wataru Kumagai

* 14 pages. This paper was accepted at NIPS 2017 as a spotlight presentation

Access Paper or Ask Questions

Learning Bound for Parameter Transfer Learning

Jan 18, 2017
Wataru Kumagai

* This paper was accepted at NIPS 2016 as a poster presentation

Access Paper or Ask Questions