Motoaki Kawanabe
16 papers · 2003–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (6)
π
Cross-Pollinator
(11)
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Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(14)
π
Keyword Trendsetter Combo
(5)
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Keyword Champion
π§¬
Topic Evolution
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Trend Setter
ποΈ
Keyword Collector
(83)
π
Century Club
(16)
Conferences
NIPS (6)
JMLR (5)
ICLR (2)
CVPR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
eeg signal
(3)
feature extraction
(3)
brain-computer interface
(3)
blind source separation
(2)
domain adaptation
(2)
common spatial patterns
(2)
probabilistic model
(2)
independent component analysis
(2)
electroencephalography
(1)
principal component analysis
(1)
model selection
(1)
matrix factorization
(1)
robust optimization
(1)
signal classification
(1)
visual question answering
(1)
policy evaluation
(1)
sequence encoding
(1)
object detection
(1)
density estimation
(1)
sparse learning
(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
NIPS 2023
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
NIPS 2022
ScanQA: 3D Question Answering for Spatial Scene Understanding
CVPR 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
NIPS 2013
Generalized TD Learning
JMLR 2011
How to Explain Individual Classification Decisions
JMLR 2010
Heterogeneous Component Analysis
NIPS 2007
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
NIPS 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