Pieter-Jan Kindermans - Google Scholar Citations

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	All	Since 2015
Citations	2104	1985
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i10-index	25	25

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2013201420152016201720182019202029 66 78 121 211 509 839 205

Co-authors

Klaus-Robert MüllerProfessor for Machine Learning, TU Berlin, Germany and Korea University, Seoul, Korea and MPIIVerified 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
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
David HübnerAlbert-Ludwigs-Universität FreiburgVerified email at blbt.uni-freiburg.de
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


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Don't Decay the Learning Rate, Increase the Batch Size SL Smith, PJ Kindermans, C Ying, QV Le ICLR 2018, 2018	291	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	256	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	196	2018
Sign language recognition using convolutional neural networks L Pigou, S Dieleman, PJ Kindermans, B Schrauwen European Conference on Computer Vision, 572-578, 2014	173	2014
Learning how to explain neural networks: PatternNet and PatternAttribution PJ Kindermans, KT Schuett, M Alber, KR Müller, D Erhan, B Kim, ... ICLR 2018, 2018	138*	2018
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	136	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	127	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	114	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	79	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	73	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	67	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	66	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	64	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	45	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
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	30*	2019
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	29	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	24	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	23	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	21	2017

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