Takehisa Yairi
6 papers · 2006–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird
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Keyword Pioneer
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Keyword Champion
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Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Architectures
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Keywords
dynamic mode decomposition
(2)
nonlinear dynamical system
(2)
domain adaptation
(1)
subspace learning
(1)
topic modeling
(1)
stochastic realization
(1)
subspace identification
(1)
spectral decomposition
(1)
canonical correlation analysis
(1)
posterior inference
(1)
fault detection
(1)
prior information
(1)
linear regression
(1)
gibbs sampler
(1)
topic hierarchy
(1)
kernel canonical correlation
(1)
state space model
(1)
dynamical system
(1)
denoising autoencoder
(1)
bayesian inference
(1)
Papers
Domain Adaptation with Hybrid Modeling for Learning Dynamical Systems
ACML 2025
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections
ACL 2018
Bayesian Dynamic Mode Decomposition
IJCAI 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
NeurIPS 2017
Structured Denoising Autoencoder for Fault Detection and Analysis
ACML 2014
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems
NeurIPS 2006