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Pieter-Jan Kindermans
Pieter-Jan Kindermans
Senior Research Scientist, Google Brain
Verified email at google.com
Title
Cited by
Cited by
Year
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), 241722, 2018
8272018
Don't Decay the Learning Rate, Increase the Batch Size
SL Smith, PJ Kindermans, C Ying, QV Le
ICLR 2018, 2018
7892018
Understanding and simplifying one-shot architecture search
GM Bender, P Kindermans, B Zoph, V Vasudevan, Q Le
International Conference on Machine Learning (ICML) 2018, 2018
5272018
Schnet: A continuous-filter convolutional neural network for modeling quantum interactions
K Schütt, PJ Kindermans, HE Sauceda Felix, S Chmiela, A Tkatchenko, ...
Advances in neural information processing systems 30, 2017
5172017
Deep dynamic neural networks for multimodal gesture segmentation and recognition
D Wu, L Pigou, PJ Kindermans, NDH Le, L Shao, J Dambre, JM Odobez
IEEE transactions on pattern analysis and machine intelligence 38 (8), 1583-1597, 2016
4482016
The (un) reliability of saliency methods
PJ Kindermans, S Hooker, J Adebayo, M Alber, KT Schütt, S Dähne, ...
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 267-280, 2019
3822019
A benchmark for interpretability methods in deep neural networks
S Hooker, D Erhan, PJ Kindermans, B Kim
Advances in neural information processing systems 32, 2019
358*2019
Sign language recognition using convolutional neural networks
L Pigou, S Dieleman, PJ Kindermans, B Schrauwen
European conference on computer vision, 572-578, 2014
3562014
Learning how to explain neural networks: PatternNet and PatternAttribution
PJ Kindermans, KT Schuett, M Alber, KR Müller, D Erhan, B Kim, ...
ICLR 2018, 2018
348*2018
iNNvestigate neural networks!
M Alber, S Lapuschkin, P Seegerer, M Hägele, KT Schütt, G Montavon, ...
J. Mach. Learn. Res. 20 (93), 1-8, 2019
2522019
Bignas: Scaling up neural architecture search with big single-stage models
J Yu, P Jin, H Liu, G Bender, PJ Kindermans, M Tan, T Huang, X Song, ...
ECCV, 2020
1322020
Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller
PJ Kindermans, M Tangermann, KR Müller, B Schrauwen
Journal of neural engineering 11 (3), 035005, 2014
1022014
Investigating the influence of noise and distractors on the interpretation of neural networks
PJ Kindermans, K Schütt, KR Müller, S Dähne
arXiv preprint arXiv:1611.07270, 2016
902016
True zero-training brain-computer interfacing–an online study
PJ Kindermans, M Schreuder, B Schrauwen, KR Müller, M Tangermann
PloS one 9 (7), e102504, 2014
902014
Performance measurement for brain–computer or brain–machine interfaces: a tutorial
DE Thompson, LR Quitadamo, L Mainardi, S Gao, PJ Kindermans, ...
Journal of neural engineering 11 (3), 035001, 2014
892014
A bayesian model for exploiting application constraints to enable unsupervised training of a P300-based BCI
PJ Kindermans, D Verstraeten, B Schrauwen
PloS one 7 (4), e33758, 2012
852012
Can weight sharing outperform random architecture search? an investigation with tunas
G Bender, H Liu, B Chen, G Chu, S Cheng, PJ Kindermans, QV Le
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
812020
Neural predictor for neural architecture search
W Wen, H Liu, H Li, Y Chen, G Bender, PJ Kindermans
ECCV, 2020
812020
A P300 BCI for the masses: prior information enables instant unsupervised spelling
PJ Kindermans, H Verschore, D Verstraeten, B Schrauwen
Advances In Neural Information Processing Systems 25, 2012
762012
Mobiledets: Searching for object detection architectures for mobile accelerators
Y Xiong, H Liu, S Gupta, B Akin, G Bender, Y Wang, PJ Kindermans, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
512021
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