Hashimoto, Yuka

10 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

ICLR 2024 Koopman-Based Generalization Bound: New Aspect for Full-Rank Weights Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Atsushi Nitanda, Taiji Suzuki

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

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

ICML 2022 C*-Algebra Net: A New Approach Generalizing Neural Network Parameters to C*-Algebra Yuka Hashimoto, Zhao Wang, Tomoko Matsui

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

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