Masahiro Ikeda
12 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (11)
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Hot Topic Early Bird
🌍
Conference Polyglot
(4)
🏆
Keyword Champion
(2)
💎
Century Club
(12)
📈
Trend Setter
🔥
Unstoppable
(6)
Conferences
NIPS (4)
ICML (3)
JMLR (3)
AISTATS (2)
Top co-authors
Keywords
reproducing kernel hilbert space
(4)
ridgelet transform
(3)
convolutional neural network
(3)
universal approximation
(2)
invertible neural network
(2)
kernel methods
(2)
dynamical system
(2)
perron-frobenius operator
(2)
coupling flow
(2)
functional data analysis
(1)
representer theorem
(1)
neural network theory
(1)
ridge regression
(1)
metric learning
(1)
deep kernel learning
(1)
group theory
(1)
supervised learning
(1)
generalization bound
(1)
riemannian manifold
(1)
geometric deep learning
(1)
Papers
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
Learning in RKHM: a C*-Algebraic Twist for Kernel Machines
AISTATS 2023
Universal Approximation Property of Invertible Neural Networks
JMLR 2023
Deep learning with kernels through RKHM and the Perron-Frobenius operator
NIPS 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
NIPS 2022
Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum
AISTATS 2021
Reproducing kernel Hilbert C*-module and kernel mean embeddings
JMLR 2021
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise
JMLR 2020
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
NIPS 2020
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
NIPS 2018