Koichi Tojo

12 papers A* 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Note on Harmonic Exponential Families on Homogeneous Spaces.
GSI (3)
Koichi Tojo, Taro Yoshino
2025 — conf
The Fisher Metric and the Amari-Chentsov Tensor of the Family of Poincaré Distributions.
GSI (3)
Koichi Tojo, Taro Yoshino
2023 — conf
A q-Analogue of the Family of Poincaré Distributions on the Upper Half Plane.
GSI (1)
Koichi Tojo, Taro Yoshino
2023 J jnl
Universal Approximation Property of Invertible Neural Networks.
J. Mach. Learn. Res.
Isao Ishikawa, Takeshi Teshima, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama
2022 J jnl
Universal approximation property of invertible neural networks.
CoRR
Isao Ishikawa, Takeshi Teshima, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama
2020 — conf
An Exponential Family on the Upper Half Plane and Its Conjugate Prior.
SPIGL
Koichi Tojo, Taro Yoshino
2020 A* conf
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators.
NeurIPS
Takeshi Teshima, Isao Ishikawa, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama
2020 J jnl
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators.
CoRR
Takeshi Teshima, Isao Ishikawa, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama
2020 J jnl
Universal Approximation Property of Neural Ordinary Differential Equations.
CoRR
Takeshi Teshima, Koichi Tojo, Masahiro Ikeda, Isao Ishikawa, Kenta Oono
2019 — conf
On a Method to Construct Exponential Families by Representation Theory.
GSI
Koichi Tojo, Taro Yoshino
2019 J jnl
On a method to construct exponential families by representation theory.
CoRR
Koichi Tojo, Taro Yoshino
2018 J jnl
A method to construct exponential families by representation theory.
CoRR
Koichi Tojo, Taro Yoshino