Isao Ishikawa - RankMe

42 papers A* 6A 1Journal 34Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines. ICML Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda
2025	J	`jnl`	Generalization Through Growth: Hidden Dynamics Controls Depth Dependence. CoRR Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda
2025	J	`jnl`	Generative Modeling through Spectral Analysis of Koopman Operator. CoRR Yuanchao Xu, Fengyi Li, Masahiro Fujisawa, Youssef Marzouk, Isao Ishikawa
2025	J	`jnl`	Why High-rank Neural Networks Generalize?: An Algebraic Framework with RKHSs. CoRR Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
2025	J	`jnl`	Zero Generalization Error Theorem for Random Interpolators via Algebraic Geometry. CoRR Naoki Yoshida, Isao Ishikawa, Masaaki Imaizumi
2024	J	`jnl`	A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks. CoRR Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
2024	J	`jnl`	Constructive Universal Approximation Theorems for Deep Joint-Equivariant Networks by Schur's Lemma. CoRR Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda
2024	J	`jnl`	Dynamic Structure Estimation from Bandit Feedback using Nonvanishing Exponential Sums. Trans. Mach. Learn. Res. Motoya Ohnishi, Isao Ishikawa, Yuko Kuroki, Masahiro Ikeda
2024	J	`jnl`	Finite-dimensional approximations of push-forwards on locally analytic functionals and truncation of least-squares polynomials. CoRR Isao Ishikawa
2024	J	`jnl`	Koopman Spectrum Nonlinear Regulators and Efficient Online Learning. Trans. Mach. Learn. Res. Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
2024	J	`jnl`	Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces. CoRR Isao Ishikawa, Yuka Hashimoto, Masahiro Ikeda, Yoshinobu Kawahara
2024	A*	`conf`	Koopman-based generalization bound: New aspect for full-rank weights. ICLR Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Atsushi Nitanda, Taiji Suzuki
2023	J	`jnl`	Deep Ridgelet Transform: Voice with Koopman Operator Proves Universality of Formal Deep Networks. CoRR Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda
2023	J	`jnl`	Generalized Eigenvalues of the Perron-Frobenius Operators of Symbolic Dynamical Systems. SIAM J. Appl. Dyn. Syst. Hayato Chiba, Masahiro Ikeda, Isao Ishikawa
2023	—	`conf`	Joint Group Invariant Functions on Data-Parameter Domain Induce Universal Neural Networks. NeurReps Sho Sonoda, Hideyuki Ishi, Isao Ishikawa, Masahiro Ikeda
2023	J	`jnl`	Joint Group Invariant Functions on Data-Parameter Domain Induce Universal Neural Networks. CoRR Sho Sonoda, Hideyuki Ishi, Isao Ishikawa, Masahiro Ikeda
2023	J	`jnl`	Koopman-Based Bound for Generalization: New Aspect of Neural Networks Regarding Nonlinear Noise Filtering. CoRR Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Atsushi Nitanda, Taiji Suzuki
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`	Dynamic Structure Estimation from Bandit Feedback. CoRR Motoya Ohnishi, Isao Ishikawa, Yuko Kuroki, Masahiro Ikeda
2022	A*	`conf`	Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis. ICML Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
2022	J	`jnl`	Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis. CoRR Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
2022	J	`jnl`	Universal approximation property of invertible neural networks. CoRR Isao Ishikawa, Takeshi Teshima, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama
2022	A*	`conf`	Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups. NeurIPS Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
2022	J	`jnl`	Universality of group convolutional neural networks based on ridgelet analysis on groups. CoRR Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
2021	J	`jnl`	Ghosts in Neural Networks: Existence, Structure and Role of Infinite-Dimensional Null Space. CoRR Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
2021	J	`jnl`	Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning. CoRR Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
2021	J	`jnl`	Reproducing kernel Hilbert C*-module and kernel mean embeddings. CoRR Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara
2021	J	`jnl`	Reproducing kernel Hilbert C*-module and kernel mean embeddings. J. Mach. Learn. Res. Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara
2021	A	`conf`	Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum. AISTATS Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
2020	J	`jnl`	A global universality of two-layer neural networks with ReLU activations. CoRR Naoya Hatano, Masahiro Ikeda, Isao Ishikawa, Yoshihiro Sawano
2020	J	`jnl`	Analysis via Orthonormal Systems in Reproducing Kernel Hilbert C CoRR Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara
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`	Gradient Descent Converges to Ridgelet Spectrum. CoRR Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
2020	J	`jnl`	Kernel Mean Embeddings of Von Neumann-Algebra-Valued Measures. CoRR Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Yoshinobu Kawahara
2020	J	`jnl`	Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. J. Mach. Learn. Res. Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara
2020	J	`jnl`	Universal Approximation Property of Neural Ordinary Differential Equations. CoRR Takeshi Teshima, Koichi Tojo, Masahiro Ikeda, Isao Ishikawa, Kenta Oono
2019	J	`jnl`	Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. CoRR Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara
2019	J	`jnl`	Metric on random dynamical systems with vector-valued reproducing kernel Hilbert spaces. CoRR Isao Ishikawa, Akinori Tanaka, Masahiro Ikeda, Yoshinobu Kawahara
2018	J	`jnl`	Integral representation of the global minimizer. CoRR Sho Sonoda, Isao Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata
2018	J	`jnl`	Metric on Nonlinear Dynamical Systems with Koopman Operators. CoRR Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara
2018	A*	`conf`	Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators. NeurIPS Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara