Brian Cheung

55 papers A* 7A 1C 6Misc 2Journal 29Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Network of Theseus (like the ship).
CoRR
Vighnesh Subramaniam, Colin Conwell, Boris Katz, Andrei Barbu, Brian Cheung
2025 J jnl
What if Eye...? Computationally Recreating Vision Evolution.
CoRR
Kushagra Tiwary, Aaron Young, Zaid Tasneem, Tzofi Klinghoffer, Akshat Dave, Tomaso A. Poggio, Dan Nilsson, Brian Cheung, Ramesh Raskar
2025 J jnl
Words That Make Language Models Perceive.
CoRR
Sophie L. Wang, Phillip Isola, Brian Cheung
2024 J jnl
ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning.
CoRR
Jaedong Hwang, Brian Cheung, Zhang-Wei Hong, Akhilan Boopathy, Pulkit Agrawal, Ila Fiete
2024 A* conf
Position: The Platonic Representation Hypothesis.
ICML
Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola
2024 J jnl
Self-Assembly of a Biologically Plausible Learning Circuit.
CoRR
Qianli Liao, Liu Ziyin, Yulu Gan, Brian Cheung, Mark Harnett, Tomaso A. Poggio
2024 J jnl
The Platonic Representation Hypothesis.
CoRR
Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola
2024 J jnl
Training Neural Networks from Scratch with Parallel Low-Rank Adapters.
CoRR
Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal
2024 J jnl
Training the Untrainable: Introducing Inductive Bias via Representational Alignment.
CoRR
Vighnesh Subramaniam, David Mayo, Colin Conwell, Tomaso A. Poggio, Boris Katz, Brian Cheung, Andrei Barbu
2024 — conf
Transformer Based Hybrid Bernoulli GSF Tracking Algorithm.
ICCAIS
Caden Sweeney, Du Yong Kim, Branko Ristic, Brian Cheung
2023 A conf
Compact and Optimal Deep Learning with Recurrent Parameter Generators.
WACV
Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
2023 J jnl
How to guess a gradient.
CoRR
Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu
2023 — conf
Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation.
HPEC
Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic
2023 A* conf
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks.
ICML
Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola
2023 J jnl
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks.
CoRR
Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola
2023 A* conf
System Identification of Neural Systems: If We Got It Right, Would We Know?
ICML
Yena Han, Tomaso A. Poggio, Brian Cheung
2023 J jnl
System identification of neural systems: If we got it right, would we know?
CoRR
Yena Han, Tomaso A. Poggio, Brian Cheung
2023 J jnl
The Low-Rank Simplicity Bias in Deep Networks.
Trans. Mach. Learn. Res.
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
2022 A* conf
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations.
ICLR
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
2021 — conf
Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning.
IEEE BigData
Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal
2021 J jnl
Equivariant Contrastive Learning.
CoRR
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
2021 J jnl
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation.
CoRR
Ileana Rugina, Rumen Dangovski, Mark Veillette, Pooya Khorrami, Brian Cheung, Olga Simek, Marin Soljacic
2021 J jnl
Recurrent Parameter Generators.
CoRR
Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
2021 J jnl
The Low-Rank Simplicity Bias in Deep Networks.
CoRR
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
2020 A* conf
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings.
ICML
Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman
2020 J jnl
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings.
CoRR
Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman
2019 — conf
Meta-Learning Update Rules for Unsupervised Representation Learning.
ICLR
Luke Metz, Niru Maheswaranathan, Brian Cheung, Jascha Sohl-Dickstein
2019 A* conf
Superposition of many models into one.
NeurIPS
Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen
2019 J jnl
Superposition of many models into one.
CoRR
Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen
2019 J jnl
Word Embedding Visualization Via Dictionary Learning.
CoRR
Juexiao Zhang, Yubei Chen, Brian Cheung, Bruno A. Olshausen
2018 A* conf
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans.
NeurIPS
Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein
2018 J jnl
Adversarial Examples that Fool both Human and Computer Vision.
CoRR
Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alex Kurakin, Ian J. Goodfellow, Jascha Sohl-Dickstein
2018 J jnl
Convolutional vs. Recurrent Neural Networks for Audio Source Separation.
CoRR
Shariq Mobin, Brian Cheung, Bruno A. Olshausen
2018 J jnl
Detecting stable individual differences in the functional organization of the human basal ganglia.
NeuroImage
Manuel Garcia-Garcia, Aki Nikolaidis, Pierre Bellec, R. Cameron Craddock, Brian Cheung, Francisco X. Castellanos, Michael P. Milham
2018 J jnl
Learning Unsupervised Learning Rules.
CoRR
Luke Metz, Niru Maheswaranathan, Brian Cheung, Jascha Sohl-Dickstein
2018 — conf
Learning to Learn Without Labels.
ICLR (Workshop)
Luke Metz, Niru Maheswaranathan, Brian Cheung, Jascha Sohl-Dickstein
2018 C conf
Probabilistic Multi Hypothesis Tracker for an Event Based Sensor.
FUSION
Brian Cheung, Mark Rutten, Samuel J. Davey, Greg Cohen
2017 — conf
Emergence of foveal image sampling from learning to attend in visual scenes.
ICLR (Poster)
Brian Cheung, Eric Weiss, Bruno A. Olshausen
2016 J jnl
Emergence of foveal image sampling from learning to attend in visual scenes.
CoRR
Brian Cheung, Eric Weiss, Bruno A. Olshausen
2015 Misc conf
A Linear Complexity Approximate Method for Multi-Target Particle Filter Track before Detect.
DICTA
Samuel J. Davey, Brian Cheung
2015 — conf
Discovering Hidden Factors of Variation in Deep Networks.
ICLR (Workshop)
Brian Cheung, Jesse A. Livezey, Arjun K. Bansal, Bruno A. Olshausen
2015 Misc conf
Track before Detect for Space Situation Awareness.
DICTA
Samuel J. Davey, Travis Bessell, Brian Cheung, Mark Rutten
2014 J jnl
PMHT with timing uncertainty.
IEEE Trans. Aerosp. Electron. Syst.
Brian Cheung, Samuel J. Davey, Douglas A. Gray
2013 J jnl
A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics.
NeuroImage
Chao-Gan Yan, Brian Cheung, Clare Kelly, Stanley J. Colcombe, R. Cameron Craddock, Adriana Di Martino, Qingyang Li, Xi-Nian Zuo, F. Xavier Castellanos, Michael P. Milham
2013 J jnl
Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ).
CoRR
Bryan R. Conroy, Jennifer M. Walz, Brian Cheung, Paul Sajda
2012 — conf
Convolutional Neural Networks Applied to Human Face Classification.
ICMLA (2)
Brian Cheung
2012 J jnl
Using Phase to Improve Track-Before-Detect.
IEEE Trans. Aerosp. Electron. Syst.
Samuel J. Davey, Mark G. Rutten, Brian Cheung
2011 — conf
Hybrid Evolution of Convolutional Networks.
ICMLA (1)
Brian Cheung, Carl Sable
2010 C conf
Comparison of the PMHT path planning algorithm with the Genetic Algorithm for multiple platforms.
FUSION
Brian Cheung, Samuel J. Davey, Douglas A. Gray
2010 C conf
PMHT for tracking with timing uncertainty.
FUSION
Brian Cheung, Samuel J. Davey, Douglas A. Gray
2009 C conf
Combining PMHT with classifications to perform SLAM.
FUSION
Brian Cheung, Samuel J. Davey, Douglas A. Gray
2009 — conf
Hardware-Optimized Ziggurat Algorithm for High-Speed Gaussian Random Number Generators.
ERSA
Hassan Edrees, Brian Cheung, McCullen Sandora, David B. Nummey, Deian Stefan
2009 C conf
Track-Before-Detect for sensors with complex measurements.
FUSION
Samuel J. Davey, Brian Cheung, Mark G. Rutten
2008 J jnl
A Comparison of Detection Performance for Several Track-before-Detect Algorithms.
EURASIP J. Adv. Signal Process.
Samuel J. Davey, Mark G. Rutten, Brian Cheung
2008 C conf
A comparison of detection performance for several Track-Before-Detect algorithms.
FUSION
Samuel J. Davey, Mark G. Rutten, Brian Cheung