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ORCIDBruno A. Olshausen
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- affiliation: University of California, Berkeley, USA
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2020 – today
- 2024
[j18]Alpha Renner
, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady:
Neuromorphic visual scene understanding with resonator networks. Nat. Mac. Intell. 6(6): 641-652 (2024)- [c42]Christopher J. Kymn, Sonia Mazelet, Annabel Ng, Denis Kleyko, Bruno A. Olshausen:
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks. NICE 2024: 1-9 - [i35]Christopher J. Kymn, Sonia Mazelet, Annabel Ng, Denis Kleyko, Bruno A. Olshausen:
Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks. CoRR abs/2404.19126 (2024) - [i34]Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen:
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. CoRR abs/2406.18808 (2024) - 2023
- [j17]Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer:
Efficient Decoding of Compositional Structure in Holistic Representations. Neural Comput. 35(7): 1159-1186 (2023) - [c41]Christian Shewmake, Nina Miolane, Bruno A. Olshausen:
Group Equivariant Sparse Coding. GSI (1) 2023: 91-101 - [c40]Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun:
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. ICLR 2023 - [c39]Sophia Sanborn, Christian Shewmake, Bruno A. Olshausen, Christopher J. Hillar:
Bispectral Neural Networks. ICLR 2023 - [c38]Trenton Bricken, Rylan Schaeffer, Bruno A. Olshausen, Gabriel Kreiman:
Emergence of Sparse Representations from Noise. ICML 2023: 3148-3191 - [i33]Edward Paxon Frady, Spencer J. Kent, Quinn Tran, Pentti Kanerva, Bruno A. Olshausen, Friedrich T. Sommer:
Learning and generalization of compositional representations of visual scenes. CoRR abs/2303.13691 (2023) - [i32]Marissa Connor, Bruno A. Olshausen, Christopher Rozell:
Learning Internal Representations of 3D Transformations from 2D Projected Inputs. CoRR abs/2303.17776 (2023) - [i31]Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer:
Efficient Decoding of Compositional Structure in Holistic Representations. CoRR abs/2305.16873 (2023) - [i30]Zeyu Yun, Juexiao Zhang, Bruno A. Olshausen, Yann LeCun, Yubei Chen:
URLOST: Unsupervised Representation Learning without Stationarity or Topology. CoRR abs/2310.04496 (2023) - [i29]Christopher J. Kymn, Denis Kleyko, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen:
Computing with Residue Numbers in High-Dimensional Representation. CoRR abs/2311.04872 (2023) - 2022
- [j16]Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen:
RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior. Mach. Learn. Sci. Technol. 3(3): 35009 (2022) - [j15]Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen:
Learning and Inference in Sparse Coding Models With Langevin Dynamics. Neural Comput. 34(8): 1676-1700 (2022) - [j14]Xin Zheng, Ryan Zarcone, Akash Levy, Win-San Khwa, Priyanka Raina, Bruno A. Olshausen, H.-S. Philip Wong:
High-density analog image storage in an analog-valued non-volatile memory array. Neuromorph. Comput. Eng. 2(4): 44018 (2022) - [j13]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:
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 110(10): 1538-1571 (2022) - [c37]Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen:
Disentangling images with Lie group transformations and sparse coding. NeurReps 2022: 22-47 - [c36]Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady:
Integer Factorization with Compositional Distributed Representations. NICE 2022: 73-80 - [c35]Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer:
Computing on Functions Using Randomized Vector Representations (in brief). NICE 2022: 115-122 - [c34]Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi, Oren Rippel, Lubomir D. Bourdev, Bruno A. Olshausen, Tsachy Weissman, Sachin Katti, Alexander G. Anderson:
An Interactive Annotation Tool for Perceptual Video Compression. QoMEX 2022: 1-6 - [i28]Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady:
Integer Factorization with Compositional Distributed Representations. CoRR abs/2203.00920 (2022) - [i27]Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen:
Learning and Inference in Sparse Coding Models with Langevin Dynamics. CoRR abs/2204.11150 (2022) - [i26]Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady:
Neuromorphic Visual Scene Understanding with Resonator Networks. CoRR abs/2208.12880 (2022) - [i25]Ping-Chen Huang, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen, Pentti Kanerva:
Computing with Hypervectors for Efficient Speaker Identification. CoRR abs/2208.13285 (2022) - [i24]Sophia Sanborn, Christian Shewmake, Bruno A. Olshausen, Christopher Hillar:
Bispectral Neural Networks. CoRR abs/2209.03416 (2022) - [i23]Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun:
Minimalistic Unsupervised Learning with the Sparse Manifold Transform. CoRR abs/2209.15261 (2022) - [i22]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:
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR abs/2210.08340 (2022) - [i21]Connor Bybee, Denis Kleyko, Dmitri E. Nikonov, Amir Khosrowshahi, Bruno A. Olshausen, Friedrich T. Sommer:
Efficient Optimization with Higher-Order Ising Machines. CoRR abs/2212.03426 (2022) - 2021
- [c33]Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun:
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. DeeLIO@NAACL-HLT 2021: 1-10 - [c32]Vasha DuTell, Agostino Gibaldi, Giulia Focarelli, Bruno A. Olshausen, Martin S. Banks:
Integrating High Fidelity Eye, Head and World Tracking in a Wearable Device. ETRA Adjunct 2021: 9:1-9:4 - [c31]Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell:
Tent: Fully Test-Time Adaptation by Entropy Minimization. ICLR 2021 - [c30]Cameron Diao, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen:
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. IJCNN 2021: 1-9 - [i20]Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun:
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. CoRR abs/2103.15949 (2021) - [i19]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:
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR abs/2106.05268 (2021) - [i18]Cameron Diao, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen:
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing. CoRR abs/2106.09821 (2021) - [i17]Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer:
Computing on Functions Using Randomized Vector Representations. CoRR abs/2109.03429 (2021) - 2020
- [j12]Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer:
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures. Neural Comput. 32(12): 2311-2331 (2020) - [j11]Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen:
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods. Neural Comput. 32(12): 2332-2388 (2020) - [c29]Dylan M. Paiton, Steven Shepard, Kwan Ho Ryan Chan, Bruno A. Olshausen:
Subspace Locally Competitive Algorithms. NICE 2020: 9:1-9:8 - [i16]Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell:
Fully Test-time Adaptation by Entropy Minimization. CoRR abs/2006.10726 (2020) - [i15]Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer:
Resonator networks for factoring distributed representations of data structures. CoRR abs/2007.03748 (2020) - [i14]Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen:
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. CoRR abs/2010.00029 (2020) - [i13]Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen:
Disentangling images with Lie group transformations and sparse coding. CoRR abs/2012.12071 (2020)
2010 – 2019
- 2019
- [c28]Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen:
Superposition of many models into one. NeurIPS 2019: 10867-10876 - [i12]Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen:
Superposition of many models into one. CoRR abs/1902.05522 (2019) - [i11]Shariq Mobin, Bruno A. Olshausen:
Auditory Separation of a Conversation from Background via Attentional Gating. CoRR abs/1905.10751 (2019) - [i10]Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen:
Resonator Circuits for factoring high-dimensional vectors. CoRR abs/1906.11684 (2019) - [i9]Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell:
Dynamic Scale Inference by Entropy Minimization. CoRR abs/1908.03182 (2019) - [i8]Juexiao Zhang, Yubei Chen, Brian Cheung, Bruno A. Olshausen:
Word Embedding Visualization Via Dictionary Learning. CoRR abs/1910.03833 (2019) - 2018
- [c27]Ryan Zarcone, Dylan M. Paiton, Alex Anderson, Jesse H. Engel, H.-S. Philip Wong, Bruno A. Olshausen:
Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage. DCC 2018: 147-156 - [c26]Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen:
The Sparse Manifold Transform. NeurIPS 2018: 10534-10545 - [i7]Shariq Mobin, Brian Cheung, Bruno A. Olshausen:
Convolutional vs. Recurrent Neural Networks for Audio Source Separation. CoRR abs/1803.08629 (2018) - [i6]Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen:
The Sparse Manifold Transform. CoRR abs/1806.08887 (2018) - 2017
- [j10]Abbas Rahimi, Sohum Datta, Denis Kleyko, Edward Paxon Frady, Bruno A. Olshausen, Pentti Kanerva, Jan M. Rabaey:
High-Dimensional Computing as a Nanoscalable Paradigm. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(9): 2508-2521 (2017) - [c25]Brian Cheung, Eric Weiss, Bruno A. Olshausen:
Emergence of foveal image sampling from learning to attend in visual scenes. ICLR (Poster) 2017 - [c24]Jan M. Rabaey, Abbas Rahimi, Sohum Datta, Miles Rusch, Pentti Kanerva, Bruno A. Olshausen:
Human-centric computing - The case for a Hyper-Dimensional approach. IWASI 2017: 29 - [i5]Jesse H. Engel, Sukru Burc Eryilmaz, SangBum Kim, Matthew BrightSky, Chung Lam, Hsiang-Lan Lung, Bruno A. Olshausen, H.-S. Philip Wong:
Opportunities for Analog Coding in Emerging Memory Systems. CoRR abs/1701.06063 (2017) - 2016
- [c23]Alexander G. Anderson, Bruno A. Olshausen, Kavitha Ratnam, Austin Roorda:
A neural model of high-acuity vision in the presence of fixational eye movements. ACSSC 2016: 588-592 - [i4]Alexander G. Anderson, Cory P. Berg, Daniel P. Mossing, Bruno A. Olshausen:
DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies. CoRR abs/1605.08153 (2016) - [i3]Brian Cheung, Eric Weiss, Bruno A. Olshausen:
Emergence of foveal image sampling from learning to attend in visual scenes. CoRR abs/1611.09430 (2016) - 2015
- [c22]Brian Cheung, Jesse A. Livezey, Arjun K. Bansal, Bruno A. Olshausen:
Discovering Hidden Factors of Variation in Deep Networks. ICLR (Workshop) 2015 - 2014
- [j9]Urs Köster, Jascha Sohl-Dickstein, Charles M. Gray, Bruno A. Olshausen:
Modeling Higher-Order Correlations within Cortical Microcolumns. PLoS Comput. Biol. 10(7) (2014) - 2013
- [c21]Urs Köster, Bruno A. Olshausen, Charles M. Gray:
Modeling neural population data. ACSSC 2013: 358-361 - [c20]Bruno A. Olshausen:
Highly overcomplete sparse coding. Human Vision and Electronic Imaging 2013: 86510S - 2012
- [j8]Charles F. Cadieu, Bruno A. Olshausen:
Learning Intermediate-Level Representations of Form and Motion from Natural Movies. Neural Comput. 24(4): 827-866 (2012) - 2011
- [j7]Ivana Tosic, Bruno A. Olshausen, Benjamin J. Culpepper:
Learning Sparse Representations of Depth. IEEE J. Sel. Top. Signal Process. 5(5): 941-952 (2011) - [j6]Adam S. Charles, Bruno A. Olshausen, Christopher J. Rozell:
Learning Sparse Codes for Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. 5(5): 963-978 (2011) - [c19]Ching Ming Wang, Jascha Sohl-Dickstein, Ivana Tosic, Bruno A. Olshausen:
Lie Group Transformation Models for Predictive Video Coding. DCC 2011: 83-92 - [c18]Benjamin J. Culpepper, Jascha Sohl-Dickstein, Bruno A. Olshausen:
Building a better probabilistic model of images by factorization. ICCV 2011: 2011-2017 - 2010
- [c17]Pierre Garrigues, Bruno A. Olshausen:
Group Sparse Coding with a Laplacian Scale Mixture Prior. NIPS 2010: 676-684 - [i2]Jascha Sohl-Dickstein, Jimmy C. Wang, Bruno A. Olshausen:
An Unsupervised Algorithm For Learning Lie Group Transformations. CoRR abs/1001.1027 (2010) - [i1]Ivana Tosic, Bruno A. Olshausen, Benjamin J. Culpepper:
Learning sparse representations of depth. CoRR abs/1011.6656 (2010)
2000 – 2009
- 2009
- [c16]Benjamin J. Culpepper, Bruno A. Olshausen:
Learning transport operators for image manifolds. NIPS 2009: 423-431 - 2008
- [j5]Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen:
Sparse Coding via Thresholding and Local Competition in Neural Circuits. Neural Comput. 20(10): 2526-2563 (2008) - [j4]Jeffrey L. Teeters, Kenneth D. Harris, K. Jarrod Millman, Bruno A. Olshausen, Friedrich T. Sommer:
Data Sharing for Computational Neuroscience. Neuroinformatics 6(1): 47-55 (2008) - [c15]Charles F. Cadieu, Bruno A. Olshausen:
Learning Transformational Invariants from Natural Movies. NIPS 2008: 209-216 - 2007
- [c14]Bruno A. Olshausen, Charles F. Cadieu, Jack Culpepper, David K. Warland:
Bilinear models of natural images. Human Vision and Electronic Imaging 2007: 649206 - [c13]Christopher J. Rozell, Don H. Johnson, Richard G. Baraniuk, Bruno A. Olshausen:
Locally Competitive Algorithms for Sparse Approximation. ICIP (4) 2007: 169-172 - [c12]Pierre Garrigues, Bruno A. Olshausen:
Learning Horizontal Connections in a Sparse Coding Model of Natural Images. NIPS 2007: 505-512 - 2005
- [j3]Bruno A. Olshausen, David J. Field:
How Close Are We to Understanding V1? Neural Comput. 17(8): 1665-1699 (2005) - [c11]Issac J. Trotts, Bruno A. Olshausen, Edward Jones:
Neuroanatomical image alignment. IEEE Visualization 2005: 92 - 2003
- [c10]Bruno A. Olshausen:
Learning sparse, overcomplete representations of time-varying natural images. ICIP (1) 2003: 41-44 - [c9]Phil Sallee, Bruno A. Olshausen:
Image denoising using learned overcomplete representations. ICIP (3) 2003: 381-384 - [c8]Fabien Vivodtzev, Lars Linsen, Georges-Pierre Bonneau, Bernd Hamann, Kenneth I. Joy, Bruno A. Olshausen:
Hierarchical Isosurface Segmentation Based on Discrete Curvature. VisSym 2003: 249-258 - 2002
- [c7]Phil Sallee, Bruno A. Olshausen:
Learning Sparse Multiscale Image Representations. NIPS 2002: 1327-1334 - 2000
- [c6]Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki:
Learning Sparse Image Codes using a Wavelet Pyramid Architecture. NIPS 2000: 887-893
1990 – 1999
- 1999
- [c5]Bruno A. Olshausen, K. Jarrod Millman:
Learning Sparse Codes with a Mixture-of-Gaussians Prior. NIPS 1999: 841-847 - 1997
- [c4]Michael S. Lewicki, Bruno A. Olshausen:
Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework. NIPS 1997 - 1996
- [j2]C. W. Lee, Bruno A. Olshausen:
A nonlinear Hebbian network that learns to detect disparity in random- dot stereograms. Neural Comput. 8(3): 545-566 (1996) - [c3]David J. Field, Bruno A. Olshausen, Nuala Brady:
Wavelets, blur, and the sources of variability in the amplitude spectra of natural scenes. Human Vision and Electronic Imaging 1996: 108-119 - [c2]Bruno A. Olshausen, David J. Field:
Learning efficient linear codes for natural images: the roles of sparseness, overcompleteness, and statistical independence. Human Vision and Electronic Imaging 1996: 132-138 - 1995
- [j1]Bruno A. Olshausen, Charles H. Anderson, David C. Van Essen:
A multiscale dynamic routing circuit for forming size- and position-invariant object representations. J. Comput. Neurosci. 2(1): 45-62 (1995) - 1993
- [c1]Ernst Niebur, Bruno A. Olshausen:
Neurobiology, Psychophysics, and Computational Models of Visual Attention. NIPS 1993: 1167-1168
Coauthor Index
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