دنبال کردن
Klaus-Robert Müller
Klaus-Robert Müller
Google DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, Germany
ایمیل تأیید شده در tu-berlin.de
عنوان
نقل شده توسط
نقل شده توسط
سال
Nonlinear component analysis as a kernel eigenvalue problem‏
B Schölkopf, A Smola, KR Müller‏
Neural computation 10 (5), 1299-1319, 1998‏
112291998
Efficient backprop‏
Y LeCun, L Bottou, G Orr, KR Müller‏
Neural networks: Tricks of the trade 7700, 9-53, 2012‏
7734*2012
On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation‏
S Bach, A Binder, G Montavon, F Klauschen, KR Müller, W Samek‏
PloS one 10 (7), e0130140, 2015‏
54772015
An introduction to kernel-based learning algorithms‏
KR Müller, S Mika, G Rätsch, K Tsuda, B Schölkopf‏
IEEE Transactions on Neural Networks 12 (2), 181 - 201, 2001‏
5074*2001
Fisher discriminant analysis with kernels‏
S Mika, G Rätsch, J Weston, B Schölkopf, KR Müller‏
Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE …, 1999‏
38621999
Kernel principal component analysis‏
B Schölkopf, A Smola, KR Müller‏
Artificial Neural Networks—ICANN'97, 583-588, 1997‏
36201997
Methods for interpreting and understanding deep neural networks‏
G Montavon, W Samek, KR Müller‏
Digital Signal Processing 73, 1-15, 2018‏
31922018
Fast and accurate modeling of molecular atomization energies with machine learning‏
M Rupp, A Tkatchenko, KR Müller, OA Von Lilienfeld‏
Physical review letters 108 (5), 058301, 2012‏
25892012
Optimizing spatial filters for robust EEG single-trial analysis‏
B Blankertz, R Tomioka, S Lemm, M Kawanabe, KR Müller‏
IEEE Signal processing magazine 25 (1), 41-56, 2008‏
24422008
Schnet–a deep learning architecture for molecules and materials‏
KT Schütt, HE Sauceda, PJ Kindermans, A Tkatchenko, KR Müller‏
The Journal of Chemical Physics 148 (24), 2018‏
21222018
Explainable artificial intelligence: Understanding, visualizing and interpreting deep learning models‏
W Samek, T Wiegand, KR Müller‏
ITU Journal: ICT Discoveries - The Impact of Artifcial Intelligence (AI) on …, 2017‏
2119*2017
Robust and communication-efficient federated learning from non-iid data‏
F Sattler, S Wiedemann, KR Müller, W Samek‏
IEEE transactions on neural networks and learning systems 31 (9), 3400--3413, 2020‏
18062020
Soft margins for AdaBoost‏
G Rätsch, T Onoda, KR Müller‏
Machine learning 42, 287-320, 2001‏
17752001
Explaining nonlinear classification decisions with deep taylor decomposition‏
G Montavon, S Lapuschkin, A Binder, W Samek, KR Müller‏
Pattern recognition 65, 211-222, 2017‏
17702017
Input space versus feature space in kernel-based methods‏
B Schölkopf, S Mika, CJC Burges, P Knirsch, KR Müller, G Rätsch, ...‏
IEEE transactions on neural networks 10 (5), 1000-1017, 1999‏
17521999
Quantum-chemical insights from deep tensor neural networks‏
KT Schütt, F Arbabzadah, S Chmiela, KR Müller, A Tkatchenko‏
Nature Communications 8, 13890, 2017‏
17102017
Evaluating the visualization of what a deep neural network has learned‏
W Samek, A Binder, G Montavon, S Lapuschkin, KR Müller‏
IEEE transactions on neural networks and learning systems 28 (11), 2660-2673, 2017‏
15102017
Kernel PCA and De-noising in feature spaces.‏
S Mika, B Schölkopf, AJ Smola, KR Müller, M Scholz, G Rätsch‏
Advances of Neural Information Processing Systems (NIPS) 11, 536-542, 1998‏
15081998
Schnet: A continuous-filter convolutional neural network for modeling quantum interactions‏
KT Schütt, PJ Kindermans, HE Sauceda, S Chmiela, A Tkatchenko, ...‏
Advances in Neural Information Processing Systems (NIPS) 30, 992--1002, 2017‏
15012017
Predicting time series with support vector machines‏
KR Müller, A Smola, G Rätsch, B Schölkopf, J Kohlmorgen, V Vapnik‏
Artificial Neural Networks—ICANN'97, 999-1004, 1997‏
14871997
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20