Masahiro Ikeda
13 papers · 2018–2026 · 4 venues · across top CS/AI venues
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reproducing kernel hilbert space
(5)
ridgelet transform
(4)
convolutional neural network
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kernel methods
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universal approximation
(2)
perron-frobenius operator
(2)
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kernel mean embedding
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invertible neural network
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dynamical system
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coupling flow
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representer theorem
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neural network theory
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group theory
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generalization bound
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Papers
Spectral Truncation Kernels: Noncommutativity in C*-algebraic Kernel Machines
JMLR 2026
Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines
ICML 2025
Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
ICML 2024
Deep learning with kernels through RKHM and the Perron-Frobenius operator
NeurIPS 2023
Learning in RKHM: a C*-Algebraic Twist for Kernel Machines
AISTATS 2023
Universal Approximation Property of Invertible Neural Networks
JMLR 2023
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
ICML 2022
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
NeurIPS 2022
Reproducing kernel Hilbert C*-module and kernel mean embeddings
JMLR 2021
Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum
AISTATS 2021
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
NeurIPS 2020
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise
JMLR 2020
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
NeurIPS 2018