Shinichi Nakajima
26 papers · 2007–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
๐งญ Keyword Pioneer ๐ Renaissance Researcher (5) ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (28) ๐ฃ Hot Topic Early Bird
๐บ๏ธ
Taxonomy Completionist
(28)
๐
Cross-Pollinator
(13)
๐งญ
Keyword Pioneer
๐ค
Dynamic Duo
(12)
๐
Keyword Champion
(4)
๐
Grand Slam
โ
The Questioner
๐๏ธ
Keyword Collector
(78)
๐
Trend Setter
๐ฅ
Unstoppable
(6)
๐
Century Club
(26)
Conferences
NIPS (12)
ICML (5)
JMLR (3)
AAAI (2)
AISTATS (2)
ACML (1)
ICLR (1)
Top co-authors
Keywords
variational inference
(10)
variational bayesian
(7)
matrix factorization
(6)
bayesian inference
(4)
bayesian learning
(4)
neural network
(3)
posterior distribution
(3)
graph neural network
(2)
empirical baye
(2)
layer-wise relevance propagation
(2)
variational bayesian matrix factorization
(2)
dimensionality recovery
(2)
kernel methods
(2)
bayesian estimation
(2)
subspace clustering
(2)
probabilistic pca
(2)
low-rank approximation
(2)
generative model
(2)
global analytic solution
(2)
dimensionality selection
(2)
Papers
Multilevel Generative Samplers for Investigating Critical Phenomena
ICLR 2025
Adaptive Observation Cost Control for Variational Quantum Eigensolvers
ICML 2024
Generative Fractional Diffusion Models
NIPS 2024
Federated Learning over Connected Modes
NIPS 2024
Relevant Walk Search for Explaining Graph Neural Networks
ICML 2023
Labeling Neural Representations with Inverse Recognition
NIPS 2023
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
NIPS 2023
NoiseGrad โ Enhancing Explanations by Introducing Stochasticity to Model Weights
AAAI 2022
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
ICML 2022
Path-Gradient Estimators for Continuous Normalizing Flows
ICML 2022
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance
AAAI 2020
Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs
AISTATS 2019
Minimizing Trust Leaks for Robust Sybil Detection
ICML 2017
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA
JMLR 2015
Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes?
AISTATS 2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP
NIPS 2014
Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization
JMLR 2013
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering
NIPS 2013
Parametric Task Learning
NIPS 2013
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization
ACML 2012
Probabilistic Low-Rank Subspace Clustering
NIPS 2012
Perfect Dimensionality Recovery by Variational Bayesian PCA
NIPS 2012
Theoretical Analysis of Bayesian Matrix Factorization
JMLR 2011
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent
NIPS 2011
Global Analytic Solution for Variational Bayesian Matrix Factorization
NIPS 2010
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
NIPS 2007