Yuka Hashimoto

32 papers A* 6A 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Koopman-layered model with universal property based on toeplitz matrices. Neurocomputing Yuka Hashimoto, Tomoharu Iwata
2026	—	`conf`	Frequency-Informed Encoder-Decoder Models with Expressivity for Time Series Anomaly Detection. CCNC Daichi Fushihara, Yuka Hashimoto, Yoichi Matsuo
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`	Towards Quantum Operator-Valued Kernels. CoRR Hachem Kadri, Joachim Tomasi, Yuka Hashimoto, Sandrine Anthoine
2025	J	`jnl`	Why High-rank Neural Networks Generalize?: An Algebraic Framework with RKHSs. CoRR Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
2024	J	`jnl`	C CoRR Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
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`	Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices. CoRR Yuka Hashimoto, Tomoharu Iwata
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
2024	A*	`conf`	Position: C∗-Algebraic Machine Learning - Moving in a New Direction. ICML Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
2024	J	`jnl`	Quantum Circuit C CoRR Yuka Hashimoto, Ryuichiro Hataya
2024	J	`jnl`	Spectral Truncation Kernels: Noncommutativity in C CoRR Yuka Hashimoto, Ayoub Hafid, Masahiro Ikeda, Hachem Kadri
2023	J	`jnl`	Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator. CoRR Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
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	A*	`conf`	Deep learning with kernels through RKHM and the Perron-Frobenius operator. NeurIPS Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
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	A	`conf`	Learning in RKHM: a C*-Algebraic Twist for Kernel Machines. AISTATS Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
2023	J	`jnl`	Noncommutative C CoRR Ryuichiro Hataya, Yuka Hashimoto
2022	J	`jnl`	A preconditioning technique for Krylov subspace methods in RKHSs. J. Comput. Appl. Math. Yuka Hashimoto, Takashi Nodera
2022	J	`jnl`	C CoRR Yuka Hashimoto, Zhao Wang, Tomoko Matsui
2022	A*	`conf`	C-algebra Net: A New Approach Generalizing Neural Network Parameters to C-algebra. ICML Yuka Hashimoto, Zhao Wang, Tomoko Matsui
2022	J	`jnl`	Learning in RKHM: a C CoRR Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
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
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	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
2019	J	`jnl`	Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise. CoRR Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda, Yoichi Matsuo, Yoshinobu Kawahara
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