متابعة
Shinichi Nakajima
Shinichi Nakajima
BIFOLD, Technische Universität Berlin
بريد إلكتروني تم التحقق منه على tu-berlin.de - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
11112007
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, 699-746, 2008‏
5352008
Semi-supervised local Fisher discriminant analysis for dimensionality reduction‏
M Sugiyama, T Idé, S Nakajima, J Sese‏
Machine learning 78, 35-61, 2010‏
3842010
Higher-order explanations of graph neural networks via relevant walks‏
T Schnake, O Eberle, J Lederer, S Nakajima, KT Schütt, KR Müller, ...‏
IEEE transactions on pattern analysis and machine intelligence 44 (11), 7581 …, 2021‏
2812021
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
2322009
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
2062020
Bayesian group-sparse modeling and variational inference‏
SD Babacan, S Nakajima, MN Do‏
IEEE transactions on signal processing 62 (11), 2906-2921, 2014‏
1522014
Global analytic solution of fully-observed variational Bayesian matrix factorization‏
S Nakajima, M Sugiyama, SD Babacan, R Tomioka‏
The Journal of Machine Learning Research 14 (1), 1-37, 2013‏
1272013
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
1262021
Pool-based active learning in approximate linear regression‏
M Sugiyama, S Nakajima‏
Machine Learning 75, 249-274, 2009‏
1262009
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
1242020
Theoretical analysis of Bayesian matrix factorization‏
S Nakajima, M Sugiyama‏
The Journal of Machine Learning Research 12, 2583-2648, 2011‏
692011
Perfect dimensionality recovery by variational Bayesian PCA‏
S Nakajima, R Tomioka, M Sugiyama, S Babacan‏
Advances in neural information processing systems 25, 2012‏
532012
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
522017
XAI for graphs: explaining graph neural network predictions by identifying relevant walks‏
T Schnake, O Eberle, J Lederer, S Nakajima, KT Schütt, KR Müller, ...‏
arXiv preprint arXiv:2006.03589, 2020‏
512020
Variational Bayesian learning theory‏
S Nakajima, K Watanabe, M Sugiyama‏
Cambridge University Press, 2019‏
462019
Noisegrad—enhancing explanations by introducing stochasticity to model weights‏
K Bykov, A Hedström, S Nakajima, MMC Höhne‏
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6132-6140, 2022‏
442022
How Much Can I Trust You?--Quantifying Uncertainties in Explaining Neural Networks‏
K Bykov, MMC Höhne, KR Müller, S Nakajima, M Kloft‏
arXiv preprint arXiv:2006.09000, 2020‏
372020
Variational Bayes solution of linear neural networks and its generalization performance‏
S Nakajima, S Watanabe‏
Neural Computation 19 (4), 1112-1153, 2007‏
372007
Robustifying models against adversarial attacks by langevin dynamics‏
V Srinivasan, C Rohrer, A Marban, KR Müller, W Samek, S Nakajima‏
Neural Networks 137, 1-17, 2021‏
362021
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20