Satoshi Hayakawa
7 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (5)
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Conferences
ICML (3)
NIPS (2)
AISTATS (1)
ICLR (1)
Top co-authors
Keywords
kernel quadrature
(2)
neural network pruning
(1)
lottery ticket hypothesis
(1)
bayesian inference
(1)
statistical learning theory
(1)
quantum computing
(1)
quantum machine learning
(1)
singular value decomposition
(1)
spectral analysis
(1)
bayesian optimization
(1)
batch selection
(1)
nyström approximation
(1)
numerical integration
(1)
bayesian quadrature
(1)
model evidence
(1)
surrogate model
(1)
probabilistic numerics
(1)
adaptive batch
(1)
integration error
(1)
positive definite kernel
(1)
Papers
Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models
ICLR 2025
Distillation of Discrete Diffusion through Dimensional Correlations
ICML 2025
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach
AISTATS 2024
Sampling-based Nyström Approximation and Kernel Quadrature
ICML 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
ICML 2023
Positively Weighted Kernel Quadrature via Subsampling
NIPS 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
NIPS 2022