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1902.10178
Cited By
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Nature Communications (Nat Commun), 2019
26 February 2019
Sebastian Lapuschkin
S. Wäldchen
Alexander Binder
G. Montavon
Wojciech Samek
K. Müller
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Papers citing
"Unmasking Clever Hans Predictors and Assessing What Machines Really Learn"
34 / 384 papers shown
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
Pattern Recognition (Pattern Recognit.), 2019
Seul-Ki Yeom
P. Seegerer
Sebastian Lapuschkin
Alexander Binder
Simon Wiedemann
K. Müller
Wojciech Samek
CVBM
221
240
0
18 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Tianhong Dai
Kai Arulkumaran
Tamara Gerbert
Samyakh Tukra
Feryal M. P. Behbahani
Anil Anthony Bharath
234
31
0
18 Dec 2019
On the Explanation of Machine Learning Predictions in Clinical Gait Analysis
D. Slijepcevic
Fabian Horst
Sebastian Lapuschkin
Anna-Maria Raberger
Matthias Zeppelzauer
Wojciech Samek
C. Breiteneder
W. Schöllhorn
B. Horsak
263
70
0
16 Dec 2019
Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability
Journal of Advances in Modeling Earth Systems (JAMES), 2019
B. Toms
E. Barnes
I. Ebert‐Uphoff
AI4CE
247
238
0
04 Dec 2019
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks
Erico Tjoa
Heng Guo
Yuhao Lu
Cuntai Guan
FAtt
143
5
0
19 Nov 2019
Machine learning for molecular simulation
Frank Noé
A. Tkatchenko
K. Müller
C. Clementi
AI4CE
189
745
0
07 Nov 2019
Towards Best Practice in Explaining Neural Network Decisions with LRP
IEEE International Joint Conference on Neural Network (IJCNN), 2019
M. Kohlbrenner
Alexander Bauer
Shinichi Nakajima
Alexander Binder
Wojciech Samek
Sebastian Lapuschkin
360
167
0
22 Oct 2019
Towards Explainable Artificial Intelligence
Wojciech Samek
K. Müller
XAI
229
490
0
26 Sep 2019
Explaining and Interpreting LSTMs
L. Arras
Jose A. Arjona-Medina
Michael Widrich
G. Montavon
Michael Gillhofer
K. Müller
Sepp Hochreiter
Wojciech Samek
FAtt
AI4TS
175
83
0
25 Sep 2019
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Scientific Reports (Sci Rep), 2019
Miriam Hagele
P. Seegerer
Sebastian Lapuschkin
M. Bockmayr
Wojciech Samek
Frederick Klauschen
K. Müller
Alexander Binder
241
172
0
15 Aug 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019
Simon Wiedemann
H. Kirchhoffer
Stefan Matlage
Paul Haase
Arturo Marbán
...
Ahmed Osman
D. Marpe
H. Schwarz
Thomas Wiegand
Wojciech Samek
244
107
0
27 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Erico Tjoa
Cuntai Guan
XAI
646
1,762
0
17 Jul 2019
Natural Adversarial Examples
Computer Vision and Pattern Recognition (CVPR), 2019
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
OODD
910
1,739
0
16 Jul 2019
How we do things with words: Analyzing text as social and cultural data
Frontiers in Artificial Intelligence (FAI), 2019
D. Nguyen
Maria Liakata
Simon DeDeo
Jacob Eisenstein
David M. Mimno
Rebekah Tromble
J. Winters
187
98
0
02 Jul 2019
Deep Transfer Learning For Whole-Brain fMRI Analyses
A. Thomas
K. Müller
Wojciech Samek
AI4CE
70
24
0
02 Jul 2019
Unifying machine learning and quantum chemistry -- a deep neural network for molecular wavefunctions
Nature Communications (Nat Commun), 2019
Kristof T. Schütt
M. Gastegger
A. Tkatchenko
K. Müller
R. Maurer
AI4CE
197
420
0
24 Jun 2019
Explanations can be manipulated and geometry is to blame
Neural Information Processing Systems (NeurIPS), 2019
Ann-Kathrin Dombrowski
Maximilian Alber
Christopher J. Anders
M. Ackermann
K. Müller
Pan Kessel
AAML
FAtt
340
365
0
19 Jun 2019
From Clustering to Cluster Explanations via Neural Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Jacob R. Kauffmann
Malte Esders
Lukas Ruff
G. Montavon
Wojciech Samek
K. Müller
244
86
0
18 Jun 2019
Deep Semi-Supervised Anomaly Detection
International Conference on Learning Representations (ICLR), 2019
Lukas Ruff
Robert A. Vandermeulen
Nico Görnitz
Alexander Binder
Emmanuel Müller
K. Müller
Matthias Kirchler
UQCV
283
640
0
06 Jun 2019
Explainable Machine Learning for Scientific Insights and Discoveries
IEEE Access (IEEE Access), 2019
R. Roscher
B. Bohn
Marco F. Duarte
Jochen Garcke
XAI
392
777
0
21 May 2019
Evaluating Recurrent Neural Network Explanations
L. Arras
Ahmed Osman
K. Müller
Wojciech Samek
XAI
FAtt
268
92
0
26 Apr 2019
Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation
Fabian Eitel
Emily Soehler
J. Bellmann-Strobl
A. Brandt
K. Ruprecht
...
M. Weygandt
J. Haynes
M. Scheel
Friedemann Paul
K. Ritter
130
148
0
18 Apr 2019
Black-Box Decision based Adversarial Attack with Symmetric
α
α
α
-stable Distribution
Vignesh Srinivasan
E. Kuruoglu
K. Müller
Wojciech Samek
Shinichi Nakajima
AAML
122
7
0
11 Apr 2019
Software and application patterns for explanation methods
Maximilian Alber
145
11
0
09 Apr 2019
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks
Woo-Jeoung Nam
Shir Gur
Jaesik Choi
Lior Wolf
Seong-Whan Lee
FAtt
216
106
0
01 Apr 2019
Augmented Ultrasonic Data for Machine Learning
I. Virkkunen
T. Koskinen
Oskari Jessen-Juhler
Jari Rinta-aho
79
121
0
26 Mar 2019
Entropy-Constrained Training of Deep Neural Networks
Simon Wiedemann
Arturo Marbán
K. Müller
Wojciech Samek
175
30
0
18 Dec 2018
Analyzing Neuroimaging Data Through Recurrent Deep Learning Models
A. Thomas
H. Heekeren
K. Müller
Wojciech Samek
192
81
0
23 Oct 2018
iNNvestigate neural networks!
Maximilian Alber
Sebastian Lapuschkin
P. Seegerer
Miriam Hagele
Kristof T. Schütt
G. Montavon
Wojciech Samek
K. Müller
Sven Dähne
Pieter-Jan Kindermans
200
372
0
13 Aug 2018
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark
Sören Becker
Johanna Vielhaben
M. Ackermann
Klaus-Robert Muller
Sebastian Lapuschkin
Wojciech Samek
XAI
353
144
0
09 Jul 2018
Compact and Computationally Efficient Representation of Deep Neural Networks
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
204
74
0
27 May 2018
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
155
231
0
22 May 2018
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models
Jacob R. Kauffmann
K. Müller
G. Montavon
DRL
205
103
0
16 May 2018
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
568
962
0
06 Jan 2017
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