Sho Sonoda
10 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (6)
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Academic Marathon
(6)
🧭
Keyword Pioneer
🐝
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(6)
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(7)
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(10)
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Keyword Collector
(55)
Conferences
ICML (4)
NIPS (3)
AISTATS (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
ridgelet transform
(4)
neural network
(2)
ridgelet analysis
(2)
quantum machine learning
(2)
universal approximation
(1)
deep learning theory
(1)
stochastic gradient descent
(1)
geometric deep learning
(1)
ridge regression
(1)
group theory
(1)
neural network theory
(1)
time series classification
(1)
optimal control
(1)
riemannian manifold
(1)
deep neural network
(1)
convolutional neural network
(1)
denoising autoencoder
(1)
inductive bia
(1)
quantum algorithm
(1)
quantum computing
(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
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
ICML 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
ICML 2023
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
NIPS 2022
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
ICML 2022
Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum
AISTATS 2021
Differentiable Multiple Shooting Layers
NIPS 2021
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
NIPS 2020
Transport Analysis of Infinitely Deep Neural Network
JMLR 2019