Ikeda, Masahiro

16 publications

ICML 2025 Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda

TMLR 2024 Dynamic Structure Estimation from Bandit Feedback Using Nonvanishing Exponential Sums Motoya Ohnishi, Isao Ishikawa, Yuko Kuroki, Masahiro Ikeda

TMLR 2024 Koopman Spectrum Nonlinear Regulators and Efficient Online Learning Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara

ICML 2024 Position: $c^*$-Algebraic Machine Learning $-$ Moving in a New Direction Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

NeurIPS 2023 Deep Learning with Kernels Through RKHM and the Perron-Frobenius Operator Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

NeurIPSW 2023 Deep Ridgelet Transform: Voice with Koopman Operator Constructively Proves Universality of Formal Deep Networks Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda

NeurIPSW 2023 Joint Group Invariant Functions on Data-Parameter Domain Induce Universal Neural Networks Sho Sonoda, Hideyuki Ishi, Isao Ishikawa, Masahiro Ikeda

AISTATS 2023 Learning in RKHM: A C*-Algebraic Twist for Kernel Machines Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

JMLR 2023 Universal Approximation Property of Invertible Neural Networks Isao Ishikawa, Takeshi Teshima, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama

ICML 2022 Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform Based on Helgason-Fourier Analysis Sho Sonoda, Isao Ishikawa, Masahiro Ikeda

NeurIPS 2022 Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups Sho Sonoda, Isao Ishikawa, Masahiro Ikeda

AISTATS 2021 Ridge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet Spectrum Sho Sonoda, Isao Ishikawa, Masahiro Ikeda

JMLR 2021 Reproducing Kernel Hilbert C*-Module and Kernel Mean Embeddings Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Fuyuta Komura, Takeshi Katsura, Yoshinobu Kawahara

NeurIPS 2020 Coupling-Based Invertible Neural Networks Are Universal Diffeomorphism Approximators Takeshi Teshima, Isao Ishikawa, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama

JMLR 2020 Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara

NeurIPS 2018 Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara