Brian Cheung
Brian Cheung
Fellow at MIT, UC Berkeley
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
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
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
Discovering hidden factors of variation in deep networks
B Cheung, JA Livezey, AK Bansal, BA Olshausen
arXiv preprint arXiv:1412.6583, 2014
Meta-learning update rules for unsupervised representation learning
L Metz, N Maheswaranathan, B Cheung, J Sohl-Dickstein
ICLR, 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
Equivariant contrastive learning
R Dangovski, L Jing, C Loh, S Han, A Srivastava, B Cheung, P Agrawal, ...
arXiv preprint arXiv:2111.00899, 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
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
Convolutional neural networks applied to human face classification
B Cheung
2012 11th International Conference on Machine Learning and Applications 2 …, 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
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
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, ...
Hybrid evolution of convolutional networks
B Cheung, C Sable
2011 10th international conference on machine learning and applications and …, 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
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
A neural architecture for representing and reasoning about spatial relationships
E Weiss, B Cheung, B Olshausen
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
Word embedding visualization via dictionary learning
J Zhang, Y Chen, B Cheung, BA Olshausen
arXiv preprint arXiv:1910.03833, 2019
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