ML Anthology

Kindermans, Pieter-Jan

16 publications

ICLR 2023 Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan
NeurIPS 2023 StoryBench: A Multifaceted Benchmark for Continuous Story Visualization Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender
NeurIPS 2022 TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V Le, Da Huang
CVPRW 2021 Discovering Multi-Hardware Mobile Models via Architecture Search Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard
CVPR 2021 MobileDets: Searching for Object Detection Architectures for Mobile Accelerators Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
ECCV 2020 BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le
ECCV 2020 Neural Predictor for Neural Architecture Search Wei Wen, Hanxiao Liu, Yiran Chen, Hai Li, Gabriel Bender, Pieter-Jan Kindermans
NeurIPS 2019 A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans, Been Kim
MLOSS 2019 iNNvestigate Neural Networks! Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans
ICLR 2018 Don't Decay the Learning Rate, Increase the Batch Size Samuel L. Smith, Pieter-Jan Kindermans, Chris Ying, Quoc V. Le
ICLR 2018 Learning How to Explain Neural Networks: PatternNet and PatternAttribution Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Dumitru Erhan, Been Kim, Sven Dähne
ICML 2018 Understanding and Simplifying One-Shot Architecture Search Gabriel Bender, Pieter-Jan Kindermans, Barret Zoph, Vijay Vasudevan, Quoc Le
NeurIPS 2017 An Empirical Study on the Properties of Random Bases for Kernel Methods Maximilian Alber, Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Fei Sha
NeurIPS 2017 SchNet: A Continuous-Filter Convolutional Neural Network for Modeling Quantum Interactions Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, Klaus-Robert Müller
ECCVW 2014 Sign Language Recognition Using Convolutional Neural Networks Lionel Pigou, Sander Dieleman, Pieter-Jan Kindermans, Benjamin Schrauwen
NeurIPS 2012 A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling Pieter-jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen