Yuka Hashimoto
9 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (7) πΊοΈ Taxonomy Completionist (19)
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Interdisciplinary Bridge
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Cross-Pollinator
(11)
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(5)
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(6)
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Conferences
ICML (3)
JMLR (2)
NIPS (2)
AISTATS (1)
ICLR (1)
Top co-authors
Keywords
reproducing kernel hilbert space
(4)
convolutional neural network
(2)
kernel methods
(2)
perron-frobenius operator
(2)
dynamical system
(2)
supervised learning
(1)
deep kernel learning
(1)
representer theorem
(1)
functional data analysis
(1)
rademacher complexity
(1)
kernel mean embedding
(1)
generalization bound
(1)
functional datum
(1)
transfer operator
(1)
model generalization
(1)
krylov subspace method
(1)
dynamic mode decomposition
(1)
kernel-mean embedding
(1)
neural network
(1)
time series analysis
(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
Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
ICML 2024
Deep learning with kernels through RKHM and the Perron-Frobenius operator
NIPS 2023
Learning in RKHM: a C*-Algebraic Twist for Kernel Machines
AISTATS 2023
C*-algebra Net: A New Approach Generalizing Neural Network Parameters to C*-algebra
ICML 2022
Reproducing kernel Hilbert C*-module and kernel mean embeddings
JMLR 2021
Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise
JMLR 2020
Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators
NIPS 2018