Neurobiology, Psychophysics, and Computational Models of Visual Attention. - Ernst Niebur; Bruno A. Olshausen (NIPS, 1993)

A multiscale dynamic routing circuit for forming size- and position-invariant object representations. - Bruno A. Olshausen; Charles H. Anderson; David C. Van Essen (J. Comput. Neurosci., 1995)

Wavelets, blur, and the sources of variability in the amplitude spectra of natural scenes. - David J. Field; Bruno A. Olshausen; Nuala Brady (Human Vision and Electronic Imaging, 1996)

Learning efficient linear codes for natural images: the roles of sparseness, overcompleteness, and statistical independence. - Bruno A. Olshausen; David J. Field (Human Vision and Electronic Imaging, 1996)

A nonlinear Hebbian network that learns to detect disparity in random- dot stereograms. - C. W. Lee; Bruno A. Olshausen (Neural Comput., 1996)

Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework. - Michael S. Lewicki; Bruno A. Olshausen (NIPS, 1997)

Learning Sparse Codes with a Mixture-of-Gaussians Prior. - Bruno A. Olshausen; K. Jarrod Millman (NIPS, 1999)

Learning Sparse Image Codes using a Wavelet Pyramid Architecture. - Bruno A. Olshausen; Phil Sallee; Michael S. Lewicki (NIPS, 2000)

Learning Sparse Multiscale Image Representations. - Phil Sallee; Bruno A. Olshausen (NIPS, 2002)

Learning sparse, overcomplete representations of time-varying natural images. - Bruno A. Olshausen (ICIP (1), 2003)

Image denoising using learned overcomplete representations. - Phil Sallee; Bruno A. Olshausen (ICIP (3), 2003)

Hierarchical Isosurface Segmentation Based on Discrete Curvature. - Fabien Vivodtzev; Lars Linsen; Georges-Pierre Bonneau; Bernd Hamann; Kenneth I. Joy; Bruno A. Olshausen (VisSym, 2003)

Neuroanatomical image alignment. - Issac J. Trotts; Bruno A. Olshausen; Edward Jones (IEEE Visualization, 2005)

How Close Are We to Understanding V1? - Bruno A. Olshausen; David J. Field (Neural Comput., 2005)

Bilinear models of natural images. - Bruno A. Olshausen; Charles F. Cadieu; Jack Culpepper; David K. Warland (Human Vision and Electronic Imaging, 2007)

Locally Competitive Algorithms for Sparse Approximation. - Christopher J. Rozell; Don H. Johnson; Richard G. Baraniuk; Bruno A. Olshausen (ICIP (4), 2007)

Learning Horizontal Connections in a Sparse Coding Model of Natural Images. - Pierre Garrigues; Bruno A. Olshausen (NIPS, 2007)

Learning Transformational Invariants from Natural Movies. - Charles F. Cadieu; Bruno A. Olshausen (NIPS, 2008)

Sparse Coding via Thresholding and Local Competition in Neural Circuits. - Christopher J. Rozell; Don H. Johnson; Richard G. Baraniuk; Bruno A. Olshausen (Neural Comput., 2008)

Data Sharing for Computational Neuroscience. - Jeffrey L. Teeters; Kenneth D. Harris; K. Jarrod Millman; Bruno A. Olshausen; Friedrich T. Sommer (Neuroinformatics, 2008)

Learning transport operators for image manifolds. - Benjamin J. Culpepper; Bruno A. Olshausen (NIPS, 2009)

Group Sparse Coding with a Laplacian Scale Mixture Prior. - Pierre Garrigues; Bruno A. Olshausen (NIPS, 2010)

An Unsupervised Algorithm For Learning Lie Group Transformations - Jascha Sohl-Dickstein; Jimmy C. Wang; Bruno A. Olshausen (CoRR, 2010)

Lie Group Transformation Models for Predictive Video Coding. - Ching Ming Wang; Jascha Sohl-Dickstein; Ivana Tosic; Bruno A. Olshausen (DCC, 2011)

Building a better probabilistic model of images by factorization. - Benjamin J. Culpepper; Jascha Sohl-Dickstein; Bruno A. Olshausen (ICCV, 2011)

Learning Sparse Codes for Hyperspectral Imagery. - Adam S. Charles; Bruno A. Olshausen; Christopher J. Rozell (IEEE J. Sel. Top. Signal Process., 2011)

Learning Sparse Representations of Depth. - Ivana Tosic; Bruno A. Olshausen; Benjamin J. Culpepper (IEEE J. Sel. Top. Signal Process., 2011)

Learning Intermediate-Level Representations of Form and Motion from Natural Movies. - Charles F. Cadieu; Bruno A. Olshausen (Neural Comput., 2012)

Modeling neural population data. - Urs Köster; Bruno A. Olshausen; Charles M. Gray (ACSSC, 2013)

Highly overcomplete sparse coding. - Bruno A. Olshausen (Human Vision and Electronic Imaging, 2013)

Modeling Higher-Order Correlations within Cortical Microcolumns. - Urs Köster; Jascha Sohl-Dickstein; Charles M. Gray; Bruno A. Olshausen (PLoS Comput. Biol., 2014)

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

A neural model of high-acuity vision in the presence of fixational eye movements. - Alexander G. Anderson; Bruno A. Olshausen; Kavitha Ratnam; Austin Roorda (ACSSC, 2016)

DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies. - Alexander G. Anderson; Cory P. Berg; Daniel P. Mossing; Bruno A. Olshausen (CoRR, 2016)

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

Human-centric computing - The case for a Hyper-Dimensional approach. - Jan M. Rabaey; Abbas Rahimi; Sohum Datta; Miles Rusch; Pentti Kanerva; Bruno A. Olshausen (IWASI, 2017)

Opportunities for Analog Coding in Emerging Memory Systems. - Jesse H. Engel; Sukru Burc Eryilmaz; SangBum Kim; Matthew BrightSky; Chung Lam; Hsiang-Lan Lung; Bruno A. Olshausen; H.-S. Philip Wong (CoRR, 2017)

High-Dimensional Computing as a Nanoscalable Paradigm. - Abbas Rahimi; Sohum Datta; Denis Kleyko; Edward Paxon Frady; Bruno A. Olshausen; Pentti Kanerva; Jan M. Rabaey (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage. - Ryan Zarcone; Dylan M. Paiton; Alex Anderson; Jesse H. Engel; H.-S. Philip Wong; Bruno A. Olshausen (DCC, 2018)

The Sparse Manifold Transform. - Yubei Chen; Dylan M. Paiton; Bruno A. Olshausen (NeurIPS, 2018)

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

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

Auditory Separation of a Conversation from Background via Attentional Gating. - Shariq Mobin; Bruno A. Olshausen (CoRR, 2019)

Resonator Circuits for factoring high-dimensional vectors. - Spencer J. Kent; Edward Paxon Frady; Friedrich T. Sommer; Bruno A. Olshausen (CoRR, 2019)

Dynamic Scale Inference by Entropy Minimization. - Dequan Wang; Evan Shelhamer; Bruno A. Olshausen; Trevor Darrell (CoRR, 2019)

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

Subspace Locally Competitive Algorithms. - Dylan M. Paiton; Steven Shepard; Kwan Ho Ryan Chan; Bruno A. Olshausen (NICE, 2020)

Fully Test-time Adaptation by Entropy Minimization. - Dequan Wang; Evan Shelhamer; Shaoteng Liu; Bruno A. Olshausen; Trevor Darrell (CoRR, 2020)

Resonator networks for factoring distributed representations of data structures. - Edward Paxon Frady; Spencer J. Kent; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2020)

Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures. - Edward Paxon Frady; Spencer J. Kent; Bruno A. Olshausen; Friedrich T. Sommer (Neural Comput., 2020)

Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods. - Spencer J. Kent; Edward Paxon Frady; Friedrich T. Sommer; Bruno A. Olshausen (Neural Comput., 2020)

Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. - Zeyu Yun; Yubei Chen; Bruno A. Olshausen; Yann LeCun (DeeLIO@NAACL-HLT, 2021)

Integrating High Fidelity Eye, Head and World Tracking in a Wearable Device. - Vasha DuTell; Agostino Gibaldi; Giulia Focarelli; Bruno A. Olshausen; Martin S. Banks (ETRA Adjunct, 2021)

Tent: Fully Test-Time Adaptation by Entropy Minimization. - Dequan Wang; Evan Shelhamer; Shaoteng Liu; Bruno A. Olshausen; Trevor Darrell (ICLR, 2021)

Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. - Cameron Diao; Denis Kleyko; Jan M. Rabaey; Bruno A. Olshausen (IJCNN, 2021)

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. - Denis Kleyko; Mike Davies 002; Edward Paxon Frady; Pentti Kanerva; Spencer J. Kent; Bruno A. Olshausen; Evgeny Osipov; Jan M. Rabaey; Dmitri A. Rachkovskij; Abbas Rahimi; Friedrich T. Sommer (CoRR, 2021)

Computing on Functions Using Randomized Vector Representations. - Edward Paxon Frady; Denis Kleyko; Christopher J. Kymn; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2021)

Disentangling images with Lie group transformations and sparse coding. - Ho Yin Chau; Frank Qiu; Yubei Chen; Bruno A. Olshausen (NeurReps, 2022)

Computing on Functions Using Randomized Vector Representations (in brief). - Edward Paxon Frady; Denis Kleyko; Christopher J. Kymn; Bruno A. Olshausen; Friedrich T. Sommer (NICE, 2022)

Integer Factorization with Compositional Distributed Representations. - Denis Kleyko; Connor Bybee; Christopher J. Kymn; Bruno A. Olshausen; Amir Khosrowshahi; Dmitri E. Nikonov; Friedrich T. Sommer; Edward Paxon Frady (NICE, 2022)

An Interactive Annotation Tool for Perceptual Video Compression. - Evgenya Pergament; Pulkit Tandon; Kedar Tatwawadi; Oren Rippel; Lubomir D. Bourdev; Bruno A. Olshausen; Tsachy Weissman; Sachin Katti; Alexander G. Anderson (QoMEX, 2022)

Computing with Hypervectors for Efficient Speaker Identification. - Ping-Chen Huang; Denis Kleyko; Jan M. Rabaey; Bruno A. Olshausen; Pentti Kanerva (CoRR, 2022)

Minimalistic Unsupervised Learning with the Sparse Manifold Transform. - Yubei Chen; Zeyu Yun; Yi Ma 001; Bruno A. Olshausen; Yann LeCun (CoRR, 2022)

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. - Anthony Zador; Blake A. Richards; Bence Ölveczky; Sean Escola; Yoshua Bengio; Kwabena Boahen 001; Matthew M. Botvinick; Dmitri B. Chklovskii; Anne Churchland; Claudia Clopath; James DiCarlo; Surya Ganguli; et al. (CoRR, 2022)

Efficient Optimization with Higher-Order Ising Machines. - Connor Bybee; Denis Kleyko; Dmitri E. Nikonov; Amir Khosrowshahi; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2022)

RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior. - Hong-Ye Hu; Dian Wu; Yi-Zhuang You; Bruno A. Olshausen; Yubei Chen (Mach. Learn. Sci. Technol., 2022)

Learning and Inference in Sparse Coding Models With Langevin Dynamics. - Michael Y.-S. Fang; Mayur Mudigonda; Ryan Zarcone; Amir Khosrowshahi; Bruno A. Olshausen (Neural Comput., 2022)

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. - Denis Kleyko; Mike Davies 002; Edward Paxon Frady; Pentti Kanerva; Spencer J. Kent; Bruno A. Olshausen; Evgeny Osipov; Jan M. Rabaey; Dmitri A. Rachkovskij; Abbas Rahimi; Friedrich T. Sommer (Proc. IEEE, 2022)

High-density analog image storage in an analog-valued non-volatile memory array. - Xin Zheng 013; Ryan Zarcone; Akash Levy; Win-San Khwa; Priyanka Raina; Bruno A. Olshausen; H.-S. Philip Wong (Neuromorph. Comput. Eng., 2022)

Group Equivariant Sparse Coding. - Christian Shewmake; Nina Miolane; Bruno A. Olshausen (GSI (1), 2023)

Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. - Yubei Chen; Zeyu Yun; Yi Ma 001; Bruno A. Olshausen; Yann LeCun (ICLR, 2023)

Bispectral Neural Networks. - Sophia Sanborn; Christian Shewmake; Bruno A. Olshausen; Christopher J. Hillar (ICLR, 2023)

Emergence of Sparse Representations from Noise. - Trenton Bricken; Rylan Schaeffer; Bruno A. Olshausen; Gabriel Kreiman (ICML, 2023)

Learning and generalization of compositional representations of visual scenes. - Edward Paxon Frady; Spencer J. Kent; Quinn Tran; Pentti Kanerva; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2023)

URLOST: Unsupervised Representation Learning without Stationarity or Topology. - Zeyu Yun; Juexiao Zhang; Bruno A. Olshausen; Yann LeCun; Yubei Chen (CoRR, 2023)

Efficient Decoding of Compositional Structure in Holistic Representations. - Denis Kleyko; Connor Bybee; Ping-Chen Huang; Christopher J. Kymn; Bruno A. Olshausen; Edward Paxon Frady; Friedrich T. Sommer (Neural Comput., 2023)

Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks. - Christopher J. Kymn; Sonia Mazelet; Annabel Ng; Denis Kleyko; Bruno A. Olshausen (NICE, 2024)

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. - Christopher J. Kymn; Sonia Mazelet; Anthony Thomas; Denis Kleyko; Edward Paxon Frady; Fritz Sommer; Bruno A. Olshausen (NeurIPS, 2024)

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. - Christopher J. Kymn; Sonia Mazelet; Anthony Thomas; Denis Kleyko; Edward Paxon Frady; Friedrich T. Sommer; Bruno A. Olshausen (CoRR, 2024)

Neuromorphic visual scene understanding with resonator networks. - Alpha Renner; Lazar Supic; Andreea Danielescu 001; Giacomo Indiveri; Bruno A. Olshausen; Yulia Sandamirskaya; Friedrich T. Sommer; Edward Paxon Frady (Nat. Mac. Intell., 2024)

Learning Internal Representations of 3D Transformations From 2D Projected Inputs. - Marissa Connor; Bruno A. Olshausen; Christopher Rozell (Neural Comput., 2024)

Computing With Residue Numbers in High-Dimensional Representation. - Christopher J. Kymn; Denis Kleyko; Edward Paxon Frady; Connor Bybee; Pentti Kanerva; Friedrich T. Sommer; Bruno A. Olshausen (Neural Comput., 2024)