Brian Cheung

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	All	Since 2019
Citations	4190	2951
h-index	19	16
i10-index	22	21

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Michael MilhamChild Mind Institute, Nathan Kline InstituteVerified email at childmind.org
F. Xavier CastellanosBrooke and Daniel Neidich Professor of Child and Adolescent Psychiatry, Radiology & NeuroscienceVerified email at NYULangone.org
Qingyang LiSeattle Children's HospitalVerified email at seattlechildrens.org
Cameron CraddockThe Neuro BureauVerified email at meta.com
Jascha Sohl-DicksteinAnthropicVerified email at anthropic.com
Bruno OlshausenProfessor, UC BerkeleyVerified email at berkeley.edu
Stan ColcombeNYU Grossman School of Medicine and Director of Human Imaging, Nathan Kline InstituteVerified email at nki.rfmh.org
Adriana Di Martino, MDthe Child Mind InstituteVerified email at childmind.org
Pulkit AgrawalMassachusetts Institute of TechnologyVerified email at mit.edu
Chao-Gan YanProfessor, Department of Psychological and Cognitive Sciences, Tsinghua UniversityVerified email at tsinghua.edu.cn
Alexey KurakinResearch Software Engineer, Google BrainVerified email at google.com
Gamaleldin ElsayedResearch Scientist, Google DeepMindVerified email at google.com
Ian GoodfellowDeepMindVerified email at deepmind.com
Nicolas PapernotUniversity of Toronto and Vector InstituteVerified email at utoronto.ca
Randal BurnsProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Luke MetzOpenAIVerified email at openai.com
Shreya ShankarUniversity of California, BerkeleyVerified email at berkeley.edu
Minyoung HuhPhD student in MIT CSAILVerified email at mit.edu
Phillip IsolaAssociate Professor, MITVerified email at mit.edu
(Anne-Marie) Clare KellyAssociate Professor, Trinity College DublinVerified email at tcd.ie

Brian Cheung

Fellow at MIT, UC Berkeley

Verified email at berkeley.edu - Homepage

Machine Learning Neuroscience Computer Vision


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A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics CG Yan, B Cheung, C Kelly, S Colcombe, RC Craddock, A Di Martino, ... Neuroimage 76, 183-201, 2013	1448	2013
The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry KB Nooner, S Colcombe, R Tobe, M Mennes, M Benedict, A Moreno, ... Frontiers in Neuroscience 6, 152, 0	813
Adversarial examples that fool both computer vision and time-limited humans G Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ... Advances in neural information processing systems 31, 2018	377	2018
Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac) C Craddock, S Sikka, B Cheung, R Khanuja, SS Ghosh, C Yan, Q Li, ... Front Neuroinform 42 (10.3389), 2013	284	2013
Discovering hidden factors of variation in deep networks B Cheung, JA Livezey, AK Bansal, BA Olshausen arXiv preprint arXiv:1412.6583, 2014	225	2014
Meta-learning update rules for unsupervised representation learning L Metz, N Maheswaranathan, B Cheung, J Sohl-Dickstein ICLR, 2018	188*	2018
Superposition of many models into one B Cheung, A Terekhov, Y Chen, P Agrawal, B Olshausen Advances in neural information processing systems 32, 2019	131	2019
Equivariant contrastive learning R Dangovski, L Jing, C Loh, S Han, A Srivastava, B Cheung, P Agrawal, ... arXiv preprint arXiv:2111.00899, 2021	128	2021
The low-rank simplicity bias in deep networks M Huh, H Mobahi, R Zhang, B Cheung, P Agrawal, P Isola arXiv preprint arXiv:2103.10427, 2021	103	2021
Cautious adaptation for reinforcement learning in safety-critical settings J Zhang, B Cheung, C Finn, S Levine, D Jayaraman International Conference on Machine Learning, 11055-11065, 2020	66	2020
Convolutional neural networks applied to human face classification B Cheung 2012 11th International Conference on Machine Learning and Applications 2 …, 2012	53	2012
Emergence of foveal image sampling from learning to attend in visual scenes B Cheung, E Weiss, B Olshausen International Conference on Learning Representations, 2017	51	2017
Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac) S Sikka, B Cheung, R Khanuja, S Ghosh, C Yan, Q Li, J Vogelstein, ... 5th INCF Congress of Neuroinformatics, Munich, Germany 10, 2014	44	2014
The platonic representation hypothesis M Huh, B Cheung, T Wang, P Isola arXiv preprint arXiv:2405.07987, 2024	37	2024
The NKI-Rockland sample: a model for accelerating the pace of discovery science in psychiatry. Front. Neurosci. 6, 152 KB Nooner, SJ Colcombe, RH Tobe, M Mennes, MM Benedict, AL Moreno, ...	33	2012
Hybrid evolution of convolutional networks B Cheung, C Sable 2011 10th international conference on machine learning and applications and …, 2011	25	2011
Hardware-Optimized Ziggurat Algorithm for High-Speed Gaussian Random Number Generators HM Edrees, B Cheung, MC Sandora, D Nummey, D Stefan International Conference on Engineering of Reconfigurable Systems …, 2009	24	2009
Straightening out the straight-through estimator: Overcoming optimization challenges in vector quantized networks M Huh, B Cheung, P Agrawal, P Isola International Conference on Machine Learning, 14096-14113, 2023	21	2023
Detecting stable individual differences in the functional organization of the human basal ganglia M Garcia-Garcia, A Nikolaidis, P Bellec, RC Craddock, B Cheung, ... Neuroimage 170, 68-82, 2018	21	2018
A neural architecture for representing and reasoning about spatial relationships E Weiss, B Cheung, B Olshausen	18	2016

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