A Comparison of Detection Performance for Several Track-before-Detect Algorithms. - Samuel J. Davey; Mark G. Rutten; Brian Cheung (EURASIP J. Adv. Signal Process., 2008)

Hardware-Optimized Ziggurat Algorithm for High-Speed Gaussian Random Number Generators. - Hassan Edrees; Brian Cheung; McCullen Sandora; David B. Nummey; Deian Stefan (ERSA, 2009)

Combining PMHT with classifications to perform SLAM. - Brian Cheung; Samuel J. Davey; Douglas A. Gray 001 (FUSION, 2009)

Track-Before-Detect for sensors with complex measurements. - Samuel J. Davey; Brian Cheung; Mark G. Rutten (FUSION, 2009)

PMHT for tracking with timing uncertainty. - Brian Cheung; Samuel J. Davey; Douglas A. Gray 001 (FUSION, 2010)

Comparison of the PMHT path planning algorithm with the Genetic Algorithm for multiple platforms. - Brian Cheung; Samuel J. Davey; Douglas A. Gray 001 (FUSION, 2010)

Hybrid Evolution of Convolutional Networks. - Brian Cheung; Carl Sable (ICMLA (1), 2011)

Convolutional Neural Networks Applied to Human Face Classification. - Brian Cheung (ICMLA (2), 2012)

Using Phase to Improve Track-Before-Detect. - Samuel J. Davey; Mark G. Rutten; Brian Cheung (IEEE Trans. Aerosp. Electron. Syst., 2012)

Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ). - Bryan R. Conroy; Jennifer M. Walz; Brian Cheung; Paul Sajda (CoRR, 2013)

A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. - Chao-Gan Yan; Brian Cheung; Clare Kelly; Stanley J. Colcombe; R. Cameron Craddock; Adriana Di Martino; Qingyang Li 004; Xi-Nian Zuo; F. Xavier Castellanos; Michael P. Milham (NeuroImage, 2013)

PMHT with timing uncertainty. - Brian Cheung; Samuel J. Davey; Douglas A. Gray 001 (IEEE Trans. Aerosp. Electron. Syst., 2014)

Track before Detect for Space Situation Awareness. - Samuel J. Davey; Travis Bessell; Brian Cheung; Mark Rutten (DICTA, 2015)

A Linear Complexity Approximate Method for Multi-Target Particle Filter Track before Detect. - Samuel J. Davey; Brian Cheung (DICTA, 2015)

Discovering Hidden Factors of Variation in Deep Networks. - Brian Cheung; Jesse A. Livezey; Arjun K. Bansal; Bruno A. Olshausen (ICLR (Workshop), 2015)

Emergence of foveal image sampling from learning to attend in visual scenes. - Brian Cheung; Eric Weiss; Bruno A. Olshausen (ICLR (Poster), 2017)

Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in Python. 0.13.1. - Krzysztof J. Gorgolewski; Oscar Esteban; David Gage Ellis; Michael Philipp Notter; Erik Ziegler; Hans J. Johnson; Carlo Hämäläinen; Benjamin Yvernault; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; Christopher J. Markiewicz; et al. (Zenodo, 2017)

nipy/nipype: 0.14.0-rc1. - Krzysztof J. Gorgolewski; Oscar Esteban; David Gage Ellis; Michael Philipp Notter; Erik Ziegler; Hans J. Johnson; Carlo Hämäläinen; Benjamin Yvernault; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; Christopher J. Markiewicz; et al. (Zenodo, 2017)

nipy/nipype: 0.14.0-rc1. - Krzysztof J. Gorgolewski; Oscar Esteban; David Gage Ellis; Michael Philipp Notter; Erik Ziegler; Hans J. Johnson; Carlo Hämäläinen; Benjamin Yvernault; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; Christopher J. Markiewicz; et al. (Zenodo, 2017)

nipy/nipype: 0.14.0. - Krzysztof J. Gorgolewski; Oscar Esteban; David Gage Ellis; Michael Philipp Notter; Erik Ziegler; Hans J. Johnson; Carlo Hämäläinen; Benjamin Yvernault; Christopher J. Markiewicz; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; et al. (Zenodo, 2017)

Probabilistic Multi Hypothesis Tracker for an Event Based Sensor. - Brian Cheung; Mark Rutten; Samuel J. Davey; Greg Cohen (FUSION, 2018)

Learning to Learn Without Labels. - Luke Metz; Niru Maheswaranathan; Brian Cheung; Jascha Sohl-Dickstein (ICLR (Workshop), 2018)

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans. - Gamaleldin F. Elsayed; Shreya Shankar; Brian Cheung; Nicolas Papernot; Alexey Kurakin; Ian J. Goodfellow; Jascha Sohl-Dickstein (NeurIPS, 2018)

Adversarial Examples that Fool both Human and Computer Vision. - Gamaleldin F. Elsayed; Shreya Shankar; Brian Cheung; Nicolas Papernot; Alex Kurakin; Ian J. Goodfellow; Jascha Sohl-Dickstein (CoRR, 2018)

Convolutional vs. Recurrent Neural Networks for Audio Source Separation. - Shariq Mobin; Brian Cheung; Bruno A. Olshausen (CoRR, 2018)

Learning Unsupervised Learning Rules. - Luke Metz; Niru Maheswaranathan; Brian Cheung; Jascha Sohl-Dickstein (CoRR, 2018)

Detecting stable individual differences in the functional organization of the human basal ganglia. - Manuel Garcia-Garcia; Aki Nikolaidis; Pierre Bellec; R. Cameron Craddock; Brian Cheung; Francisco X. Castellanos; Michael P. Milham (NeuroImage, 2018)

nipy/nipype: Nipype - v1.0.0. - Krzysztof J. Gorgolewski; Oscar Esteban; Erik Ziegler; Michael Philipp Notter; Christopher Burns 002; David Gage Ellis; Hans J. Johnson; Alexandre Manhães-Savio; Carlo Hämäläinen; Dorota Jarecka; Benjamin Yvernault; Christopher J. Markiewicz; et al. (Zenodo, 2018)

nipy/nipype: 1.0.1. - Krzysztof J. Gorgolewski; Oscar Esteban; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Christopher J. Markiewicz; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.0.2. - Krzysztof J. Gorgolewski; Oscar Esteban; Erik Ziegler; David Gage Ellis; Christopher J. Markiewicz; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Dorota Jarecka; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: Nipype 1.0.3. - Krzysztof J. Gorgolewski; Oscar Esteban; Erik Ziegler; Christopher J. Markiewicz; David Gage Ellis; Michael Philipp Notter; Dorota Jarecka; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.0.4. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Dorota Jarecka; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.0.4. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Dorota Jarecka; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: Nipype 1.1.0. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Dorota Jarecka; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.1. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Hans J. Johnson; Dorota Jarecka; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.2. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Michael Philipp Notter; Hans J. Johnson; Dorota Jarecka; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.3. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.4. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hamalainen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.5. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.6. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

nipy/nipype: 1.1.7. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2018)

Meta-Learning Update Rules for Unsupervised Representation Learning. - Luke Metz; Niru Maheswaranathan; Brian Cheung; Jascha Sohl-Dickstein (ICLR, 2019)

Superposition of many models into one. - Brian Cheung; Alexander Terekhov; Yubei Chen; Pulkit Agrawal 001; Bruno A. Olshausen (NeurIPS, 2019)

Word Embedding Visualization Via Dictionary Learning. - Juexiao Zhang; Yubei Chen; Brian Cheung; Bruno A. Olshausen (CoRR, 2019)

nipy/nipype: 1.1.8. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2019)

nipy/nipype: 1.1.9. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2019)

nipy/nipype: 1.2.0. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Michael Philipp Notter; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2019)

nipy/nipype: 1.2.1. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Hans J. Johnson; Michael Philipp Notter; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2019)

nipy/nipype: 1.2.3. - Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Hans J. Johnson; Michael Philipp Notter; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; Taylor Salo; et al. (Zenodo, 2019)

nipy/nipype: 1.2.2. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Hans J. Johnson; Michael Philipp Notter; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2019)

nipy/nipype: 1.2.2. - Krzysztof J. Gorgolewski; Oscar Esteban; Christopher J. Markiewicz; Erik Ziegler; David Gage Ellis; Dorota Jarecka; Hans J. Johnson; Michael Philipp Notter; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Benjamin Yvernault; et al. (Zenodo, 2019)

nipy/nipype: 1.3.0-rc1. - Oscar Esteban; Christopher J. Markiewicz; Dorota Jarecka; Erik Ziegler; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Michael Philipp Notter; Benjamin Yvernault; David Gage Ellis; Taylor Salo; et al. (Zenodo, 2019)

nipy/nipype: 1.3.0. - Oscar Esteban; Christopher J. Markiewicz; Dorota Jarecka; Erik Ziegler; Hans J. Johnson; Christopher Burns 002; Alexandre Manhães-Savio; Carlo Hämäläinen; Michael Philipp Notter; Benjamin Yvernault; David Gage Ellis; Taylor Salo; et al. (Zenodo, 2019)

nipy/nipype: 1.4.0. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Hans J. Johnson; Erik Ziegler; Alexandre Manhães-Savio; Dorota Jarecka; David Gage Ellis; Benjamin Yvernault; Carlo Hämäläinen; Michael Philipp Notter; Taylor Salo; et al. (Zenodo, 2019)

Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. - Jesse Zhang; Brian Cheung; Chelsea Finn; Sergey Levine; Dinesh Jayaraman (ICML, 2020)

nipy/nipype: 1.4.1. - Oscar Esteban; Christopher J. Markiewicz; Hans J. Johnson; Erik Ziegler; Alexandre Manhães-Savio; Dorota Jarecka; Christopher Burns 002; David Gage Ellis; Carlo Hämäläinen; Michael Philipp Notter; Benjamin Yvernault; Taylor Salo; et al. (Zenodo, 2020)

nipy/nipype: 1.4.2. - Oscar Esteban; Christopher J. Markiewicz; Hans J. Johnson; Erik Ziegler; Alexandre Manhães-Savio; Dorota Jarecka; Christopher Burns 002; David Gage Ellis; Carlo Hämäläinen; Michael Philipp Notter; Benjamin Yvernault; Taylor Salo; et al. (Zenodo, 2020)

nipy/nipype: 1.5.0. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2020)

nipy/nipype: 1.5.1. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2020)

Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning. - Pooya Khorrami; Olga Simek; Brian Cheung; Mark Veillette; Rumen Dangovski; Ileana Rugina; Marin Soljacic; Pulkit Agrawal 001 (IEEE BigData, 2021)

Recurrent Parameter Generators. - Jiayun Wang; Yubei Chen; Stella X. Yu; Brian Cheung; Yann LeCun (CoRR, 2021)

Equivariant Contrastive Learning. - Rumen Dangovski; Li Jing 001; Charlotte Loh; Seungwook Han; Akash Srivastava; Brian Cheung; Pulkit Agrawal 001; Marin Soljacic (CoRR, 2021)

Meta-Learning and Self-Supervised Pretraining for Real World Image Translation. - Ileana Rugina; Rumen Dangovski; Mark Veillette; Pooya Khorrami; Brian Cheung; Olga Simek; Marin Soljacic (CoRR, 2021)

nipy/nipype: 1.7.0. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2021)

Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. - Rumen Dangovski; Li Jing 001; Charlotte Loh; Seungwook Han; Akash Srivastava; Brian Cheung; Pulkit Agrawal 001; Marin Soljacic (ICLR, 2022)

nipy/nipype: 1.7.1. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2022)

nipy/nipype: 1.8.0. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2022)

nipy/nipype: 1.8.1. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2022)

nipy/nipype: 1.8.3. - Oscar Esteban; Christopher J. Markiewicz; Christopher Burns 002; Mathias Goncalves; Dorota Jarecka; Erik Ziegler; Shoshana Berleant; David Gage Ellis; Basile Pinsard; Cindee Madison; Michael Waskom; Michael Philipp Notter; et al. (Zenodo, 2022)

Meta-Learning and Self-Supervised Pretraining for Storm Event Imagery Translation. - Ileana Rugina; Rumen Dangovski; Mark Veillette; Pooya Khorrami; Brian Cheung; Olga Simek; Marin Soljacic (HPEC, 2023)

System Identification of Neural Systems: If We Got It Right, Would We Know? - Yena Han; Tomaso A. Poggio; Brian Cheung (ICML, 2023)

Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. - Minyoung Huh; Brian Cheung; Pulkit Agrawal 001; Phillip Isola (ICML, 2023)

Compact and Optimal Deep Learning with Recurrent Parameter Generators. - Jiayun Wang; Yubei Chen; Stella X. Yu; Brian Cheung; Yann LeCun (WACV, 2023)

How to guess a gradient. - Utkarsh Singhal; Brian Cheung; Kartik Chandra; Jonathan Ragan-Kelley; Joshua B. Tenenbaum; Tomaso A. Poggio; Stella X. Yu (CoRR, 2023)

The Low-Rank Simplicity Bias in Deep Networks. - Minyoung Huh; Hossein Mobahi; Richard Zhang 001; Brian Cheung; Pulkit Agrawal 001; Phillip Isola (Trans. Mach. Learn. Res., 2023)

Transformer Based Hybrid Bernoulli GSF Tracking Algorithm. - Caden Sweeney; Du Yong Kim; Branko Ristic 001; Brian Cheung (ICCAIS, 2024)

Position: The Platonic Representation Hypothesis. - Minyoung Huh; Brian Cheung; Tongzhou Wang 001; Phillip Isola (ICML, 2024)

Training Neural Networks from Scratch with Parallel Low-Rank Adapters. - Minyoung Huh; Brian Cheung; Jeremy Bernstein; Phillip Isola; Pulkit Agrawal 001 (CoRR, 2024)

The Platonic Representation Hypothesis. - Minyoung Huh; Brian Cheung; Tongzhou Wang 001; Phillip Isola (CoRR, 2024)

Training the Untrainable: Introducing Inductive Bias via Representational Alignment. - Vighnesh Subramaniam; David Mayo; Colin Conwell; Tomaso A. Poggio; Boris Katz; Brian Cheung; Andrei Barbu (CoRR, 2024)

ImageNet-RIB Benchmark: Large Pre-Training Datasets Don't Guarantee Robustness after Fine-Tuning. - Jaedong Hwang; Brian Cheung; Zhang-Wei Hong; Akhilan Boopathy; Pulkit Agrawal 001; Ila Fiete (CoRR, 2024)

Self-Assembly of a Biologically Plausible Learning Circuit. - Qianli Liao; Liu Ziyin 001; Yulu Gan; Brian Cheung; Mark Harnett; Tomaso A. Poggio (CoRR, 2024)

What if Eye...? Computationally Recreating Vision Evolution. - Kushagra Tiwary; Aaron Young; Zaid Tasneem; Tzofi Klinghoffer; Akshat Dave; Tomaso A. Poggio; Dan Nilsson; Brian Cheung; Ramesh Raskar (CoRR, 2025)