Yoshiyuki Kabashima
10 papers · 2012–2024 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π Keyword Champion (2)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Core Methods
(5)
Deep Learning
(2)
Mathematics & Optimization
(2)
Models
(2)
Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core AI
(1)
Mathematics
(1)
Optimization
(1)
Keywords
compressed sensing
(2)
quantized measurement
(2)
score-based generative model
(2)
lasso regression
(2)
model selection
(2)
ising model
(2)
posterior sampling
(1)
message passing
(1)
multinomial logistic regression
(1)
sparse regression
(1)
expectation propagation
(1)
network reconstruction
(1)
support recovery
(1)
replica method
(1)
signal recovery
(1)
neuronal networks
(1)
elastic net
(1)
β1 regularization
(1)
graphical model
(1)
diffusion model
(1)
Papers
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
ACML 2024
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
AAAI 2024
Average case analysis of Lasso under ultra sparse conditions
AISTATS 2023
On Model Selection Consistency of Lasso for High-Dimensional Ising Models
AISTATS 2023
Quantized Compressed Sensing with Score-Based Generative Models
ICLR 2023
Ising Model Selection Using β_1-Regularized Linear Regression: A Statistical Mechanics Analysis
NeurIPS 2021
Semi-Analytic Resampling in Lasso
JMLR 2019
Accelerating Cross-Validation in Multinomial Logistic Regression with β_1-Regularization
JMLR 2018
Objective and efficient inference for couplings in neuronal networks
NeurIPS 2018
Statistical Mechanical Analysis of Semantic Orientations on Lexical Network
COLING 2012