Motoaki Kawanabe
16 papers · 2003–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (47) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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(4)
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Renaissance Researcher
(8)
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Century Club Β· Bronze
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Research topics
Machine Learning
(12)
Artificial Intelligence
(11)
Core Methods
(8)
Optimization & Theory
(7)
Core AI
(6)
Learning Types
(6)
Healthcare & Medicine
(4)
Research
(4)
Deep Learning
(3)
Application Areas
(3)
Learning Paradigms
(3)
Computer Vision
(2)
Interdisciplinary
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Keywords
eeg signal
(3)
brain-computer interface
(3)
symmetric positive definite manifold
(3)
feature extraction
(3)
principal component analysis
(2)
common spatial patterns
(2)
domain adaptation
(2)
probabilistic model
(2)
multimodal learning
(2)
independent component analysis
(2)
blind source separation
(2)
eeg signal processing
(2)
matrix factorization
(1)
bayesian inference
(1)
model selection
(1)
policy evaluation
(1)
reinforcement learning
(1)
object detection
(1)
temporal difference learning
(1)
density estimation
(1)
Papers
SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
ICLR 2025
Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data
ICLR 2024
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
NeurIPS 2023
ScanQA: 3D Question Answering for Spatial Scene Understanding
CVPR 2022
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
NeurIPS 2022
Answering Mixed Type Questions about Daily Living Episodes
IJCAI 2018
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling
ICML 2017
Robust Spatial Filtering with Beta Divergence
NeurIPS 2013
Generalized TD Learning
JMLR 2011
How to Explain Individual Classification Decisions
JMLR 2010
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
NeurIPS 2007
Heterogeneous Component Analysis
NeurIPS 2007
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
NeurIPS 2007
In Search of Non-Gaussian Components of a High-Dimensional Distribution
JMLR 2006
Estimating Functions for Blind Separation When Sources Have Variance Dependencies
JMLR 2005
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation
JMLR 2003