Pieter-Jan Kindermans

46 papers A* 7Journal 24Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	What Are You Doing? A Closer Look at Controllable Human Video Generation. CoRR Emanuele Bugliarello, Anurag Arnab, Roni Paiss, Pieter-Jan Kindermans, Cordelia Schmid
2023	A*	`conf`	Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions. ICLR Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan
2023	A*	`conf`	StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. NeurIPS Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
2023	J	`jnl`	StoryBench: A Multifaceted Benchmark for Continuous Story Visualization. CoRR Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
2022	J	`jnl`	Phenaki: Variable Length Video Generation From Open Domain Textual Description. CoRR Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan
2022	J	`jnl`	Resource-Constrained Neural Architecture Search on Tabular Datasets. CoRR Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang
2022	A*	`conf`	TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets. NeurIPS Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang
2022	J	`jnl`	When adversarial examples are excusable. CoRR Pieter-Jan Kindermans, Charles Staats
2021	—	`conf`	Discovering Multi-Hardware Mobile Models via Architecture Search. CVPR Workshops Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard
2021	A*	`conf`	MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CVPR Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
2020	J	`jnl`	BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models. CoRR Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc V. Le
2020	—	`conf`	BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models. ECCV (7) Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas S. Huang, Xiaodan Song, Ruoming Pang, Quoc Le
2020	A*	`conf`	Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS. CVPR Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc V. Le
2020	J	`jnl`	Can weight sharing outperform random architecture search? An investigation with TuNAS. CoRR Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le
2020	J	`jnl`	Discovering Multi-Hardware Mobile Models via Architecture Search. CoRR Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard
2020	J	`jnl`	MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. CoRR Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
2020	—	`conf`	Neural Predictor for Neural Architecture Search. ECCV (29) Wei Wen, Hanxiao Liu, Yiran Chen, Hai Helen Li, Gabriel Bender, Pieter-Jan Kindermans
2019	A*	`conf`	A Benchmark for Interpretability Methods in Deep Neural Networks. NeurIPS Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim
2019	J	`jnl`	Neural Predictor for Neural Architecture Search. CoRR Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans
2019	—	`ch.`	Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance. Brain-Computer Interface Research (7) David Hübner, Pieter-Jan Kindermans, Thibault Verhoeven, Klaus-Robert Müller, Michael Tangermann
2019	—	`ch.`	The (Un)reliability of Saliency Methods. Explainable AI Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim
2019	J	`jnl`	iNNvestigate Neural Networks! J. Mach. Learn. Res. Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans
2018	J	`jnl`	Backprop Evolution. CoRR Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc V. Le
2018	—	`conf`	Don't Decay the Learning Rate, Increase the Batch Size. ICLR (Poster) Samuel L. Smith, Pieter-Jan Kindermans, Chris Ying, Quoc V. Le
2018	J	`jnl`	Evaluating Feature Importance Estimates. CoRR Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim
2018	—	`conf`	Learning how to explain neural networks: PatternNet and PatternAttribution. ICLR (Poster) Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Dumitru Erhan, Been Kim, Sven Dähne
2018	J	`jnl`	Towards Improved Design and Evaluation of Epileptic Seizure Predictors. IEEE Trans. Biomed. Eng. Iryna Korshunova, Pieter-Jan Kindermans, Jonas Degrave, Thibault Verhoeven, Benjamin H. Brinkmann, Joni Dambre
2018	A*	`conf`	Understanding and Simplifying One-Shot Architecture Search. ICML Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, Quoc V. Le
2018	J	`jnl`	Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]. IEEE Comput. Intell. Mag. David Hübner, Thibault Verhoeven, Klaus-Robert Müller, Pieter-Jan Kindermans, Michael Tangermann
2018	J	`jnl`	iNNvestigate neural networks! CoRR Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans
2017	—	`conf`	An Empirical Study on The Properties of Random Bases for Kernel Methods. NIPS Maximilian Alber, Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Fei Sha
2017	J	`jnl`	Don't Decay the Learning Rate, Increase the Batch Size. CoRR Samuel L. Smith, Pieter-Jan Kindermans, Quoc V. Le
2017	—	`conf`	Improving Learning from Label proportions by Reducing the Feature Dimensionality. GBCIC David Hübner, Pieter-Jan Kindermans, Thibault Verhoeven, Michael Tangermann
2017	J	`jnl`	Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees. CoRR David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans
2017	—	`conf`	Mixing two Unsupervised estimators for Event-Related potential decoding: an Online Evaluation. GBCIC David Hübner, Thibault Verhoeven, Pieter-Jan Kindermans, Michael Tangermann
2017	J	`jnl`	PatternNet and PatternLRP - Improving the interpretability of neural networks. CoRR Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Sven Dähne
2017	—	`conf`	SchNet: A continuous-filter convolutional neural network for modeling quantum interactions. NIPS Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, Klaus-Robert Müller
2017	J	`jnl`	The (Un)reliability of saliency methods. CoRR Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim
2016	J	`jnl`	Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Di Wu, Lionel Pigou, Pieter-Jan Kindermans, Nam Do-Hoang Le, Ling Shao, Joni Dambre, Jean-Marc Odobez
2016	J	`jnl`	Investigating the influence of noise and distractors on the interpretation of neural networks. CoRR Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Sven Dähne
2015	J	`jnl`	Transfer learning of gaits on a quadrupedal robot. Adapt. Behav. Jonas Degrave, Michael Burm, Pieter-Jan Kindermans, Joni Dambre, Francis Wyffels
2014	—	`—`	A Bayesian machine learning framework for true zero-training brain-computer interfaces. Pieter-Jan Kindermans
2014	—	`conf`	Sign Language Recognition Using Convolutional Neural Networks. ECCV Workshops (1) Lionel Pigou, Sander Dieleman, Pieter-Jan Kindermans, Benjamin Schrauwen
2013	J	`jnl`	A Unified Probabilistic Approach to Improve Spelling in an Event-Related Potential-Based Brain-Computer Interface. IEEE Trans. Biomed. Eng. Pieter-Jan Kindermans, Hannes Verschore, Benjamin Schrauwen
2012	—	`conf`	A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling. NIPS Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen
2012	—	`conf`	Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller. ICANN (1) Hannes Verschore, Pieter-Jan Kindermans, David Verstraeten, Benjamin Schrauwen