Pieter-Jan Kindermans - Google Scholar Citations

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	All	Since 2015
Citations	2285	2166
h-index	20	20
i10-index	26	25

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2013201420152016201720182019202030 66 78 121 213 508 829 396

Co-authors

Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
Benjamin SchrauwenProfessor of Machine Learning, Ghent UniversityVerified email at ugent.be
Kristof T. SchüttTechnische Universität BerlinVerified email at tu-berlin.de
Michael TangermannBrain State Decoding Lab and Autonomous Intelligent Systems Lab, University of Freiburg, GermanyVerified email at blbt.uni-freiburg.de
Thibault VerhoevenPhD, Ghent UniversityVerified email at ugent.be
Sven DähneAmazonVerified email at amazon.com
Maximilian AlberTU BerlinVerified email at tu-berlin.de
Joni DambreHoofddocent, Ghent UniversityVerified email at ugent.be
Dumitru ErhanStaff Research Scientist, Google BrainVerified email at google.com
David HübnerAlbert-Ludwigs-Universität FreiburgVerified email at blbt.uni-freiburg.de
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
Lionel PigouGhent UniversityVerified email at ugent.be
Alexandre TkatchenkoProfessor of Physics, University of Luxembourg; Visiting Professor, Berlin Big Data CenterVerified email at uni.lu
Jean-Marc OdobezHead of the Perception and Activity Understanding group, Idiap Research Institute and EPFLVerified email at idiap.ch
Ling ShaoCEO & Chief Scientist, Inception Institute of Artificial Intelligence (IIAI); EVP & Provost, MBZUAIVerified email at uea.ac.uk
Huziel E. SaucedaPostdoc, Fritz-Haber-Institute of the Max-Planck-SocietyVerified email at fhi-berlin.mpg.de
Sander DielemanResearch Scientist, DeepMindVerified email at google.com
Martijn SchreuderBerlin Institute of TechnologyVerified email at martijnschreuder.nl
Jonas DegraveResearch Scientist, DeepmindVerified email at google.com
David ThompsonAssistant Professor of Electrical and Computer Engineering, Kansas State UniversityVerified email at ksu.edu

Pieter-Jan Kindermans

Senior Research Scientist, Google Brain

Verified email at google.com

Machine Learning Deep Learning Probabilistic Models Unsupervised Learning Brain-Computer Interfaces


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Don't Decay the Learning Rate, Increase the Batch Size SL Smith, PJ Kindermans, C Ying, QV Le ICLR 2018, 2018	307	2018
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	277	2016
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	221	2018
Sign language recognition using convolutional neural networks L Pigou, S Dieleman, PJ Kindermans, B Schrauwen European Conference on Computer Vision, 572-578, 2014	181	2014
Schnet: A continuous-filter convolutional neural network for modeling quantum interactions K Schütt, PJ Kindermans, HES Felix, S Chmiela, A Tkatchenko, KR Müller Advances in neural information processing systems, 991-1001, 2017	150	2017
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	148	2018
Learning how to explain neural networks: PatternNet and PatternAttribution PJ Kindermans, KT Schuett, M Alber, KR Müller, D Erhan, B Kim, ... ICLR 2018, 2018	141*	2018
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	128	2019
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	84	2014
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), 2012	77	2012
True zero-training brain-computer interfacing–an online study PJ Kindermans, M Schreuder, B Schrauwen, KR Müller, M Tangermann PloS one 9 (7), 2014	71	2014
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	68	2014
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	65	2012
iNNvestigate neural networks M Alber, S Lapuschkin, P Seegerer, M Hägele, KT Schütt, G Montavon, ... Journal of Machine Learning Research 20 (93), 1-8, 2019	55	2019
A benchmark for interpretability methods in deep neural networks S Hooker, D Erhan, PJ Kindermans, B Kim Advances in Neural Information Processing Systems, 9734-9745, 2019	41*	2019
A unified probabilistic approach to improve spelling in an event-related potential-based brain–computer interface PJ Kindermans, H Verschore, B Schrauwen IEEE Transactions on Biomedical Engineering 60 (10), 2696-2705, 2013	34	2013
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	31	2016
Learning from label proportions in brain-computer interfaces: online unsupervised learning with guarantees D Hübner, T Verhoeven, K Schmid, KR Müller, M Tangermann, ... PloS one 12 (4), 2017	28	2017
Towards a symbiotic brain–computer interface: exploring the application–decoder interaction T Verhoeven, P Buteneers, JR Wiersema, J Dambre, PJ Kindermans Journal of neural engineering 12 (6), 066027, 2015	24	2015
Towards improved design and evaluation of epileptic seizure predictors I Korshunova, PJ Kindermans, J Degrave, T Verhoeven, BH Brinkmann, ... IEEE Transactions on Biomedical Engineering 65 (3), 502-510, 2017	22	2017

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