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Shinichi Nakajima
Shinichi Nakajima
Machine Learning Group, Technische Universität Berlin
Bestätigte E-Mail-Adresse bei tu-berlin.de - Startseite
Titel
Zitiert von
Zitiert von
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Direct importance estimation with model selection and its application to covariate shift adaptation
M Sugiyama, S Nakajima, H Kashima, P Buenau, M Kawanabe
Advances in neural information processing systems 20, 2007
8252007
Direct importance estimation for covariate shift adaptation
M Sugiyama, T Suzuki, S Nakajima, H Kashima, P von Bünau, ...
Annals of the Institute of Statistical Mathematics 60 (4), 699-746, 2008
3602008
Semi-supervised local Fisher discriminant analysis for dimensionality reduction
M Sugiyama, T Idé, S Nakajima, J Sese
Machine learning 78 (1), 35-61, 2010
3392010
Multi-class image segmentation using conditional random fields and global classification
N Plath, M Toussaint, S Nakajima
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1402009
Bayesian group-sparse modeling and variational inference
SD Babacan, S Nakajima, MN Do
IEEE transactions on signal processing 62 (11), 2906-2921, 2014
1202014
Global analytic solution of fully-observed variational Bayesian matrix factorization
S Nakajima, M Sugiyama, SD Babacan, R Tomioka
Journal of Machine Learning Research 14 (Jan), 1-37, 2013
912013
Pool-based active learning in approximate linear regression
M Sugiyama, S Nakajima
Machine Learning 75 (3), 249-274, 2009
882009
Towards best practice in explaining neural network decisions with LRP
M Kohlbrenner, A Bauer, S Nakajima, A Binder, W Samek, S Lapuschkin
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
632020
Theoretical analysis of Bayesian matrix factorization
S Nakajima, M Sugiyama
The Journal of Machine Learning Research 12, 2583-2648, 2011
562011
Asymptotically unbiased estimation of physical observables with neural samplers
KA Nicoli, S Nakajima, N Strodthoff, W Samek, KR Müller, P Kessel
Physical Review E 101 (2), 023304, 2020
472020
Nikon Multimedia Event Detection System.
T Matsuo, S Nakajima
TRECVID, 2010
422010
Perfect dimensionality recovery by variational Bayesian PCA
S Nakajima, R Tomioka, M Sugiyama, S Babacan
Advances in neural information processing systems 25, 2012
402012
Estimation of thermodynamic observables in lattice field theories with deep generative models
KA Nicoli, CJ Anders, L Funcke, T Hartung, K Jansen, P Kessel, ...
Physical review letters 126 (3), 032001, 2021
362021
Variational Bayes solution of linear neural networks and its generalization performance
S Nakajima, S Watanabe
Neural Computation 19 (4), 1112-1153, 2007
332007
Higher-order explanations of graph neural networks via relevant walks
T Schnake, O Eberle, J Lederer, S Nakajima, KT Schütt, KR Müller, ...
arXiv preprint arXiv:2006.03589, 2020
322020
Support Vector Data Descriptions and -Means Clustering: One Class?
N Görnitz, LA Lima, KR Müller, M Kloft, S Nakajima
IEEE transactions on neural networks and learning systems 29 (9), 3994-4006, 2017
292017
XAI for graphs: explaining graph neural network predictions by identifying relevant walks
T Schnake, O Eberle, J Lederer, S Nakajima, KT Schütt, KR Müller, ...
262020
An exhaustive search and stability of sparse estimation for feature selection problem
K Nagata, J Kitazono, S Nakajima, S Eifuku, R Tamura, M Okada
IPSJ Online Transactions 8, 25-32, 2015
262015
On Bayesian PCA: Automatic dimensionality selection and analytic solution
S Nakajima, M Sugiyama, SD Babacan
ICML, 2011
262011
Implicit Regularization in Variational Bayesian Matrix Factorization.
S Nakajima, M Sugiyama
ICML, 2010
262010
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