Pieter-Jan Kindermans

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 37

Top Topics

Delta Bar Delta

Unsupervised Learning

Sign Language Recognition

Variable Length

Top Venues

Publications

Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. NeurIPS (2023)
Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan
Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions. ICLR (2023)
Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. CoRR (2023)
Pieter-Jan Kindermans, Charles Staats
When adversarial examples are excusable. CoRR (2022)
Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets. NeurIPS (2022)
Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang
Resource-Constrained Neural Architecture Search on Tabular Datasets. CoRR (2022)
Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan
Phenaki: Variable Length Video Generation From Open Domain Textual Description. CoRR (2022)
Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CVPR (2021)
Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard
Discovering Multi-Hardware Mobile Models via Architecture Search. CVPR Workshops (2021)
Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CoRR (2020)
Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard
Discovering Multi-Hardware Mobile Models via Architecture Search. CoRR (2020)
Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le
Can weight sharing outperform random architecture search? An investigation with TuNAS. CoRR (2020)
Wei Wen, Hanxiao Liu, Yiran Chen, Hai Helen Li, Gabriel Bender, Pieter-Jan Kindermans
Neural Predictor for Neural Architecture Search. ECCV (29) (2020)
Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc V. Le
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models. CoRR (2020)
Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc Le
BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models. ECCV (7) (2020)
Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc V. Le
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS. CVPR (2020)
Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans
Neural Predictor for Neural Architecture Search. CoRR (2019)
Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans
iNNvestigate Neural Networks! J. Mach. Learn. Res. 20 (2019)
Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim
A Benchmark for Interpretability Methods in Deep Neural Networks. NeurIPS (2019)
Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Dumitru Erhan, Been Kim, Sven Dähne
Learning how to explain neural networks: PatternNet and PatternAttribution. ICLR (Poster) (2018)
Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans
iNNvestigate neural networks! CoRR (2018)
Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim
Evaluating Feature Importance Estimates. CoRR (2018)
Samuel L. Smith, Pieter-Jan Kindermans, Chris Ying, Quoc V. Le
Don't Decay the Learning Rate, Increase the Batch Size. ICLR (Poster) (2018)
Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc V. Le
Backprop Evolution. CoRR (2018)
Iryna Korshunova, Pieter-Jan Kindermans, Jonas Degrave, Thibault Verhoeven, Benjamin H. Brinkmann, Joni Dambre
Towards Improved Design and Evaluation of Epileptic Seizure Predictors. IEEE Trans. Biomed. Eng. 65 (3) (2018)
David Hübner, Thibault Verhoeven, Klaus-Robert Müller, Pieter-Jan Kindermans, Michael Tangermann
Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]. IEEE Comput. Intell. Mag. 13 (2) (2018)
Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, Quoc V. Le
Understanding and Simplifying One-Shot Architecture Search. ICML (2018)
Maximilian Alber, Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Fei Sha
An Empirical Study on The Properties of Random Bases for Kernel Methods. NIPS (2017)
David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans
Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees. CoRR (2017)
David Hübner, Pieter-Jan Kindermans, Thibault Verhoeven, Michael Tangermann
Improving Learning from Label proportions by Reducing the Feature Dimensionality. GBCIC (2017)
Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Sven Dähne
PatternNet and PatternLRP - Improving the interpretability of neural networks. CoRR (2017)
Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim
The (Un)reliability of saliency methods. CoRR (2017)
David Hübner, Thibault Verhoeven, Pieter-Jan Kindermans, Michael Tangermann
Mixing two Unsupervised estimators for Event-Related potential decoding: an Online Evaluation. GBCIC (2017)
Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, Klaus-Robert Müller
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions. NIPS (2017)
Samuel L. Smith, Pieter-Jan Kindermans, Quoc V. Le
Don't Decay the Learning Rate, Increase the Batch Size. CoRR (2017)
Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Sven Dähne
Investigating the influence of noise and distractors on the interpretation of neural networks. CoRR (2016)
Di Wu, Lionel Pigou, Pieter-Jan Kindermans, Nam Do-Hoang Le, Ling Shao, Joni Dambre, Jean-Marc Odobez
Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38 (8) (2016)
Jonas Degrave, Michael Burm, Pieter-Jan Kindermans, Joni Dambre, Francis Wyffels
Transfer learning of gaits on a quadrupedal robot. Adapt. Behav. 23 (2) (2015)
Lionel Pigou, Sander Dieleman, Pieter-Jan Kindermans, Benjamin Schrauwen
Sign Language Recognition Using Convolutional Neural Networks. ECCV Workshops (1) (2014)
Pieter-Jan Kindermans, Hannes Verschore, Benjamin Schrauwen
A Unified Probabilistic Approach to Improve Spelling in an Event-Related Potential-Based Brain-Computer Interface. IEEE Trans. Biomed. Eng. 60 (10) (2013)
Hannes Verschore, Pieter-Jan Kindermans, David Verstraeten, Benjamin Schrauwen
Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller. ICANN (1) (2012)
Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling. NIPS (2012)