Isao Ishikawa
10 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(9)
Deep Learning
(7)
Optimization & Theory Β· Machine Learning
(6)
Architectures
(5)
Core Methods
(4)
Mathematics & Optimization
(3)
Mathematics
(3)
Models
(2)
Optimization & Theory Β· Deep Learning
(2)
Techniques
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Methods
(1)
Optimization
(1)
Keywords
ridgelet transform
(4)
dynamical system
(2)
neural network
(2)
kernel mean embedding
(2)
reproducing kernel hilbert space
(2)
universal approximation
(2)
invertible neural network
(2)
coupling flow
(2)
deep learning theory
(1)
functional data analysis
(1)
metric learning
(1)
representer theorem
(1)
neural network theory
(1)
riemannian manifold
(1)
ridge regression
(1)
neural ordinary differential equation
(1)
convolutional neural network
(1)
group theory
(1)
inductive bia
(1)
generalization bound
(1)
Papers
Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines
ICML 2025
Koopman-based generalization bound: New aspect for full-rank weights
ICLR 2024
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