Pieter-Jan Kindermans

Neuroscience · Life Sciences

26h-index7.1kcitations62works0.02yr avg
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Research Topics

EEG and Brain-Computer Interfaces(21), Advanced Neural Network Applications(14), Adversarial Robustness in Machine Learning(13), Explainable Artificial Intelligence (XAI)(10), Neural dynamics and brain function(9)

Publications62 total

What Are You Doing? A Closer Look at Controllable Human Video Generation
arXiv (Cornell University)·2025Open Access
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
arXiv (Cornell University)·2023· 1 citedOpen Access
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
2021· 141 cited
Discovering Multi-Hardware Mobile Models via Architecture Search
2021· 17 cited
Discovering Multi-Hardware Mobile Models via Architecture Search
arXiv (Cornell University)·2020· 4 citedOpen Access
Can weight sharing outperform random architecture search? An investigation with TuNAS
arXiv (Cornell University)·2020· 11 citedOpen Access
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS
2020· 112 cited
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
arXiv (Cornell University)·2020· 41 citedOpen Access
Dynamic Stopping in a Calibration-less P300 Speller
Ghent University Academic Bibliography (Ghent University)·2020· 9 citedOpen Access
Switching Characters Between Stimuli Improves P300 Speller Accuracy
Ghent University Academic Bibliography (Ghent University)·2020Open Access
Reducing BCI calibration time with transfer learning: a shrinkage approach
Ghent University Academic Bibliography (Ghent University)·2020· 1 citedOpen Access
Transferring Unsupervised Adaptive Classifiers Between Users Of A Spatial Auditory Brain-Computer Interface
Ghent University Academic Bibliography (Ghent University)·2020· 1 citedOpen Access
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
arXiv (Cornell University)·2020· 38 citedOpen Access
BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models
Lecture notes in computer science·2020· 225 cited
Neural Predictor for Neural Architecture Search
Lecture notes in computer science·2020· 150 cited
Neural Predictor for Neural Architecture Search
arXiv (Cornell University)·2019· 19 citedOpen Access
The (Un)reliability of Saliency Methods
Lecture notes in computer science·2019· 428 cited
Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance
Springer briefs in electrical and computer engineering·2019· 1 cited
How to iNNvestigate neural networks' predictions!
2018
Unsupervised learning for brain–computer interfaces based on event-related potentials
Institution of Engineering and Technology eBooks·2018
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Frequent Co-authors

Gabriel Bender(11), Benjamin Schrauwen(11), Klaus‐Robert Müller(11), Kristof T. Schütt(9), Quoc V. Le(9), Hanxiao Liu(8), Michael Tangermann(8), Maximilian Alber(7), Dumitru Erhan(7), Thibault Verhoeven(7), Sven Dähne(6), Been Kim(6), Sara Hooker(5), David Verstraeten(5), David Hübner(5), Joni Dambre(4), Mingxing Tan(4), Suyog Gupta(4), Berkin Akin(4), Grace Chu(4)