Bruno A. Olshausen

99 papers A* 8A 1B 5Misc 2Journal 55Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Sparse coding generates efficient representations for autoassociative memories. CogSci Yazhou Zhao, Zeyu Yun, Bruno A. Olshausen, Christopher J. Kymn
2024	A*	`conf`	Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. NeurIPS Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, Edward Paxon Frady, Fritz Sommer, Bruno A. Olshausen
2024	J	`jnl`	Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. CoRR Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
2024	—	`conf`	Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks. NICE Christopher J. Kymn, Sonia Mazelet, Annabel Ng, Denis Kleyko, Bruno A. Olshausen
2024	J	`jnl`	Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks. CoRR Christopher J. Kymn, Sonia Mazelet, Annabel Ng, Denis Kleyko, Bruno A. Olshausen
2024	J	`jnl`	Computing With Residue Numbers in High-Dimensional Representation. Neural Comput. Christopher J. Kymn, Denis Kleyko, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen
2024	J	`jnl`	Learning Internal Representations of 3D Transformations From 2D Projected Inputs. Neural Comput. Marissa Connor, Bruno A. Olshausen, Christopher Rozell
2024	J	`jnl`	Neuromorphic visual scene understanding with resonator networks. Nat. Mac. Intell. Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
2023	A*	`conf`	Bispectral Neural Networks. ICLR Sophia Sanborn, Christian Shewmake, Bruno A. Olshausen, Christopher J. Hillar
2023	J	`jnl`	Computing with Residue Numbers in High-Dimensional Representation. CoRR Christopher J. Kymn, Denis Kleyko, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen
2023	J	`jnl`	Efficient Decoding of Compositional Structure in Holistic Representations. CoRR Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer
2023	J	`jnl`	Efficient Decoding of Compositional Structure in Holistic Representations. Neural Comput. Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer
2023	A*	`conf`	Emergence of Sparse Representations from Noise. ICML Trenton Bricken, Rylan Schaeffer, Bruno A. Olshausen, Gabriel Kreiman
2023	—	`conf`	Group Equivariant Sparse Coding. GSI (1) Christian Shewmake, Nina Miolane, Bruno A. Olshausen
2023	J	`jnl`	Learning Internal Representations of 3D Transformations from 2D Projected Inputs. CoRR Marissa Connor, Bruno A. Olshausen, Christopher Rozell
2023	J	`jnl`	Learning and generalization of compositional representations of visual scenes. CoRR Edward Paxon Frady, Spencer J. Kent, Quinn Tran, Pentti Kanerva, Bruno A. Olshausen, Friedrich T. Sommer
2023	A*	`conf`	Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. ICLR Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
2023	J	`jnl`	URLOST: Unsupervised Representation Learning without Stationarity or Topology. CoRR Zeyu Yun, Juexiao Zhang, Bruno A. Olshausen, Yann LeCun, Yubei Chen
2022	B	`conf`	An Interactive Annotation Tool for Perceptual Video Compression. QoMEX Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi, Oren Rippel, Lubomir D. Bourdev, Bruno A. Olshausen, Tsachy Weissman, Sachin Katti, Alexander G. Anderson
2022	J	`jnl`	Bispectral Neural Networks. CoRR Sophia Sanborn, Christian Shewmake, Bruno A. Olshausen, Christopher Hillar
2022	—	`conf`	Computing on Functions Using Randomized Vector Representations (in brief). NICE Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer
2022	J	`jnl`	Computing with Hypervectors for Efficient Speaker Identification. CoRR Ping-Chen Huang, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen, Pentti Kanerva
2022	—	`conf`	Disentangling images with Lie group transformations and sparse coding. NeurReps Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen
2022	J	`jnl`	Efficient Optimization with Higher-Order Ising Machines. CoRR Connor Bybee, Denis Kleyko, Dmitri E. Nikonov, Amir Khosrowshahi, Bruno A. Olshausen, Friedrich T. Sommer
2022	J	`jnl`	High-density analog image storage in an analog-valued non-volatile memory array. Neuromorph. Comput. Eng. Xin Zheng, Ryan Zarcone, Akash Levy, Win-San Khwa, Priyanka Raina, Bruno A. Olshausen, H.-S. Philip Wong
2022	—	`conf`	Integer Factorization with Compositional Distributed Representations. NICE Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady
2022	J	`jnl`	Integer Factorization with Compositional Distributed Representations. CoRR Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady
2022	J	`jnl`	Learning and Inference in Sparse Coding Models With Langevin Dynamics. Neural Comput. Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen
2022	J	`jnl`	Learning and Inference in Sparse Coding Models with Langevin Dynamics. CoRR Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen
2022	J	`jnl`	Minimalistic Unsupervised Learning with the Sparse Manifold Transform. CoRR Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
2022	J	`jnl`	Neuromorphic Visual Scene Understanding with Resonator Networks. CoRR Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
2022	J	`jnl`	RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior. Mach. Learn. Sci. Technol. Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
2022	J	`jnl`	Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao
2022	J	`jnl`	Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
2021	J	`jnl`	Computing on Functions Using Randomized Vector Representations. CoRR Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer
2021	B	`conf`	Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. IJCNN Cameron Diao, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen
2021	J	`jnl`	Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. CoRR Cameron Diao, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen
2021	—	`conf`	Integrating High Fidelity Eye, Head and World Tracking in a Wearable Device. ETRA Adjunct Vasha DuTell, Agostino Gibaldi, Giulia Focarelli, Bruno A. Olshausen, Martin S. Banks
2021	A*	`conf`	Tent: Fully Test-Time Adaptation by Entropy Minimization. ICLR Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell
2021	—	`conf`	Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. DeeLIO@NAACL-HLT Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun
2021	J	`jnl`	Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. CoRR Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun
2021	J	`jnl`	Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
2020	J	`jnl`	Disentangling images with Lie group transformations and sparse coding. CoRR Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen
2020	J	`jnl`	Fully Test-time Adaptation by Entropy Minimization. CoRR Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell
2020	J	`jnl`	RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. CoRR Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
2020	J	`jnl`	Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures. Neural Comput. Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer
2020	J	`jnl`	Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods. Neural Comput. Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
2020	J	`jnl`	Resonator networks for factoring distributed representations of data structures. CoRR Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer
2020	—	`conf`	Subspace Locally Competitive Algorithms. NICE Dylan M. Paiton, Steven Shepard, Kwan Ho Ryan Chan, Bruno A. Olshausen
2019	J	`jnl`	Auditory Separation of a Conversation from Background via Attentional Gating. CoRR Shariq Mobin, Bruno A. Olshausen
2019	J	`jnl`	Dynamic Scale Inference by Entropy Minimization. CoRR Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell
2019	J	`jnl`	Resonator Circuits for factoring high-dimensional vectors. CoRR Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
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	J	`jnl`	Convolutional vs. Recurrent Neural Networks for Audio Source Separation. CoRR Shariq Mobin, Brian Cheung, Bruno A. Olshausen
2018	B	`conf`	Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage. DCC Ryan Zarcone, Dylan M. Paiton, Alex Anderson, Jesse H. Engel, H.-S. Philip Wong, Bruno A. Olshausen
2018	A*	`conf`	The Sparse Manifold Transform. NeurIPS Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen
2018	J	`jnl`	The Sparse Manifold Transform. CoRR Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen
2017	—	`conf`	Emergence of foveal image sampling from learning to attend in visual scenes. ICLR (Poster) Brian Cheung, Eric Weiss, Bruno A. Olshausen
2017	J	`jnl`	High-Dimensional Computing as a Nanoscalable Paradigm. IEEE Trans. Circuits Syst. I Regul. Pap. Abbas Rahimi, Sohum Datta, Denis Kleyko, Edward Paxon Frady, Bruno A. Olshausen, Pentti Kanerva, Jan M. Rabaey
2017	—	`conf`	Human-centric computing - The case for a Hyper-Dimensional approach. IWASI Jan M. Rabaey, Abbas Rahimi, Sohum Datta, Miles Rusch, Pentti Kanerva, Bruno A. Olshausen
2017	J	`jnl`	Opportunities for Analog Coding in Emerging Memory Systems. CoRR Jesse H. Engel, Sukru Burc Eryilmaz, Sangbum Kim, Matthew BrightSky, Chung Lam, Hsiang-Lan Lung, Bruno A. Olshausen, H.-S. Philip Wong
2016	Misc	`conf`	A neural model of high-acuity vision in the presence of fixational eye movements. ACSSC Alexander G. Anderson, Bruno A. Olshausen, Kavitha Ratnam, Austin Roorda
2016	J	`jnl`	DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies. CoRR Alexander G. Anderson, Cory P. Berg, Daniel P. Mossing, 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	—	`conf`	Discovering Hidden Factors of Variation in Deep Networks. ICLR (Workshop) Brian Cheung, Jesse A. Livezey, Arjun K. Bansal, Bruno A. Olshausen
2014	J	`jnl`	Modeling Higher-Order Correlations within Cortical Microcolumns. PLoS Comput. Biol. Urs Köster, Jascha Sohl-Dickstein, Charles M. Gray, Bruno A. Olshausen
2013	—	`conf`	Highly overcomplete sparse coding. Human Vision and Electronic Imaging Bruno A. Olshausen
2013	Misc	`conf`	Modeling neural population data. ACSSC Urs Köster, Bruno A. Olshausen, Charles M. Gray
2012	J	`jnl`	Learning Intermediate-Level Representations of Form and Motion from Natural Movies. Neural Comput. Charles F. Cadieu, Bruno A. Olshausen
2011	A*	`conf`	Building a better probabilistic model of images by factorization. ICCV Benjamin J. Culpepper, Jascha Sohl-Dickstein, Bruno A. Olshausen
2011	J	`jnl`	Learning Sparse Codes for Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. Adam S. Charles, Bruno A. Olshausen, Christopher J. Rozell
2011	J	`jnl`	Learning Sparse Representations of Depth. IEEE J. Sel. Top. Signal Process. Ivana Tosic, Bruno A. Olshausen, Benjamin J. Culpepper
2011	B	`conf`	Lie Group Transformation Models for Predictive Video Coding. DCC Ching Ming Wang, Jascha Sohl-Dickstein, Ivana Tosic, Bruno A. Olshausen
2010	J	`jnl`	An Unsupervised Algorithm For Learning Lie Group Transformations CoRR Jascha Sohl-Dickstein, Jimmy C. Wang, Bruno A. Olshausen
2010	—	`conf`	Group Sparse Coding with a Laplacian Scale Mixture Prior. NIPS Pierre Garrigues, Bruno A. Olshausen
2010	J	`jnl`	Learning sparse representations of depth CoRR Ivana Tosic, Bruno A. Olshausen, Benjamin J. Culpepper
2009	—	`conf`	Learning transport operators for image manifolds. NIPS Benjamin J. Culpepper, Bruno A. Olshausen
2008	J	`jnl`	Data Sharing for Computational Neuroscience. Neuroinformatics Jeffrey L. Teeters, Kenneth D. Harris, K. Jarrod Millman, Bruno A. Olshausen, Friedrich T. Sommer
2008	—	`conf`	Learning Transformational Invariants from Natural Movies. NIPS Charles F. Cadieu, Bruno A. Olshausen
2008	J	`jnl`	Sparse Coding via Thresholding and Local Competition in Neural Circuits. Neural Comput. Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen
2007	—	`conf`	Bilinear models of natural images. Human Vision and Electronic Imaging Bruno A. Olshausen, Charles F. Cadieu, Jack Culpepper, David K. Warland
2007	—	`conf`	Learning Horizontal Connections in a Sparse Coding Model of Natural Images. NIPS Pierre Garrigues, Bruno A. Olshausen
2007	—	`conf`	Locally Competitive Algorithms for Sparse Approximation. ICIP (4) Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen
2005	J	`jnl`	How Close Are We to Understanding V1? Neural Comput. Bruno A. Olshausen, David J. Field
2005	A	`conf`	Neuroanatomical image alignment. IEEE Visualization Issac J. Trotts, Bruno A. Olshausen, Edward Jones
2003	—	`conf`	Hierarchical Isosurface Segmentation Based on Discrete Curvature. VisSym Fabien Vivodtzev, Lars Linsen, Georges-Pierre Bonneau, Bernd Hamann, Kenneth I. Joy, Bruno A. Olshausen
2003	—	`conf`	Image denoising using learned overcomplete representations. ICIP (3) Phil Sallee, Bruno A. Olshausen
2003	—	`conf`	Learning sparse, overcomplete representations of time-varying natural images. ICIP (1) Bruno A. Olshausen
2002	—	`conf`	Learning Sparse Multiscale Image Representations. NIPS Phil Sallee, Bruno A. Olshausen
2000	—	`conf`	Learning Sparse Image Codes using a Wavelet Pyramid Architecture. NIPS Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki
1999	—	`conf`	Learning Sparse Codes with a Mixture-of-Gaussians Prior. NIPS Bruno A. Olshausen, K. Jarrod Millman
1997	—	`conf`	Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework. NIPS Michael S. Lewicki, Bruno A. Olshausen
1996	J	`jnl`	A nonlinear Hebbian network that learns to detect disparity in random- dot stereograms. Neural Comput. C. W. Lee, Bruno A. Olshausen
1996	—	`conf`	Learning efficient linear codes for natural images: the roles of sparseness, overcompleteness, and statistical independence. Human Vision and Electronic Imaging Bruno A. Olshausen, David J. Field
1996	—	`conf`	Wavelets, blur, and the sources of variability in the amplitude spectra of natural scenes. Human Vision and Electronic Imaging David J. Field, Bruno A. Olshausen, Nuala Brady
1995	J	`jnl`	A multiscale dynamic routing circuit for forming size- and position-invariant object representations. J. Comput. Neurosci. Bruno A. Olshausen, Charles H. Anderson, David C. Van Essen
1993	—	`conf`	Neurobiology, Psychophysics, and Computational Models of Visual Attention. NIPS Ernst Niebur, Bruno A. Olshausen