Bruno A. Olshausen

Affiliations:
  • University of California, Berkeley, USA


According to our database1, Bruno A. Olshausen authored at least 81 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Learning Internal Representations of 3D Transformations From 2D Projected Inputs.
Neural Comput., 2024

Neuromorphic visual scene understanding with resonator networks.
Nat. Mac. Intell., 2024

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps.
CoRR, 2024

Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024

2023
Efficient Decoding of Compositional Structure in Holistic Representations.
Neural Comput., July, 2023

Computing with Residue Numbers in High-Dimensional Representation.
CoRR, 2023

URLOST: Unsupervised Representation Learning without Stationarity or Topology.
CoRR, 2023

Learning and generalization of compositional representations of visual scenes.
CoRR, 2023

Emergence of Sparse Representations from Noise.
Proceedings of the International Conference on Machine Learning, 2023

Bispectral Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Group Equivariant Sparse Coding.
Proceedings of the Geometric Science of Information - 6th International Conference, 2023

2022
High-density analog image storage in an analog-valued non-volatile memory array.
Neuromorph. Comput. Eng., December, 2022

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware.
Proc. IEEE, 2022

Learning and Inference in Sparse Coding Models With Langevin Dynamics.
Neural Comput., 2022

RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior.
Mach. Learn. Sci. Technol., 2022

Efficient Optimization with Higher-Order Ising Machines.
CoRR, 2022

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution.
CoRR, 2022

Minimalistic Unsupervised Learning with the Sparse Manifold Transform.
CoRR, 2022

Computing with Hypervectors for Efficient Speaker Identification.
CoRR, 2022

An Interactive Annotation Tool for Perceptual Video Compression.
Proceedings of the 14th International Conference on Quality of Multimedia Experience, 2022

Integer Factorization with Compositional Distributed Representations.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Computing on Functions Using Randomized Vector Representations (in brief).
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Disentangling images with Lie group transformations and sparse coding.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

2021
Computing on Functions Using Randomized Vector Representations.
CoRR, 2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.
CoRR, 2021

Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing.
Proceedings of the International Joint Conference on Neural Networks, 2021

Tent: Fully Test-Time Adaptation by Entropy Minimization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Integrating High Fidelity Eye, Head and World Tracking in a Wearable Device.
Proceedings of the ETRA '21 Adjunct: 2021 Symposium on Eye Tracking Research and Applications, 2021

Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors.
Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021

2020
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods.
Neural Comput., 2020

Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures.
Neural Comput., 2020

Resonator networks for factoring distributed representations of data structures.
CoRR, 2020

Fully Test-time Adaptation by Entropy Minimization.
CoRR, 2020

Subspace Locally Competitive Algorithms.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2019
Word Embedding Visualization Via Dictionary Learning.
CoRR, 2019

Dynamic Scale Inference by Entropy Minimization.
CoRR, 2019

Resonator Circuits for factoring high-dimensional vectors.
CoRR, 2019

Auditory Separation of a Conversation from Background via Attentional Gating.
CoRR, 2019

Superposition of many models into one.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Convolutional vs. Recurrent Neural Networks for Audio Source Separation.
CoRR, 2018

The Sparse Manifold Transform.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Joint Source-Channel Coding with Neural Networks for Analog Data Compression and Storage.
Proceedings of the 2018 Data Compression Conference, 2018

2017
High-Dimensional Computing as a Nanoscalable Paradigm.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Opportunities for Analog Coding in Emerging Memory Systems.
CoRR, 2017

Human-centric computing - The case for a Hyper-Dimensional approach.
Proceedings of the 7th IEEE International Workshop on Advances in Sensors and Interfaces, 2017

Emergence of foveal image sampling from learning to attend in visual scenes.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies.
CoRR, 2016

A neural model of high-acuity vision in the presence of fixational eye movements.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Discovering Hidden Factors of Variation in Deep Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015

2014
Modeling Higher-Order Correlations within Cortical Microcolumns.
PLoS Comput. Biol., 2014

2013
Highly overcomplete sparse coding.
Proceedings of the Human Vision and Electronic Imaging XVIII, 2013

Modeling neural population data.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Learning Intermediate-Level Representations of Form and Motion from Natural Movies.
Neural Comput., 2012

2011
Learning Sparse Representations of Depth.
IEEE J. Sel. Top. Signal Process., 2011

Learning Sparse Codes for Hyperspectral Imagery.
IEEE J. Sel. Top. Signal Process., 2011

Building a better probabilistic model of images by factorization.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Lie Group Transformation Models for Predictive Video Coding.
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

2010
An Unsupervised Algorithm For Learning Lie Group Transformations
CoRR, 2010

Group Sparse Coding with a Laplacian Scale Mixture Prior.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Learning transport operators for image manifolds.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Data Sharing for Computational Neuroscience.
Neuroinformatics, 2008

Sparse Coding via Thresholding and Local Competition in Neural Circuits.
Neural Comput., 2008

Learning Transformational Invariants from Natural Movies.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Learning Horizontal Connections in a Sparse Coding Model of Natural Images.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Locally Competitive Algorithms for Sparse Approximation.
Proceedings of the International Conference on Image Processing, 2007

Bilinear models of natural images.
Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

2005
How Close Are We to Understanding V1?
Neural Comput., 2005

Neuroanatomical image alignment.
Proceedings of the 16th IEEE Visualization Conference, 2005

2003
Hierarchical Isosurface Segmentation Based on Discrete Curvature.
Proceedings of the 5th Joint Eurographics - IEEE TCVG Symposium on Visualization, 2003

Image denoising using learned overcomplete representations.
Proceedings of the 2003 International Conference on Image Processing, 2003

Learning sparse, overcomplete representations of time-varying natural images.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Learning Sparse Multiscale Image Representations.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2000
Learning Sparse Image Codes using a Wavelet Pyramid Architecture.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Learning Sparse Codes with a Mixture-of-Gaussians Prior.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1997
Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996
A nonlinear Hebbian network that learns to detect disparity in random- dot stereograms.
Neural Comput., 1996

Learning efficient linear codes for natural images: the roles of sparseness, overcompleteness, and statistical independence.
Proceedings of the Human Vision and Electronic Imaging, 1996

Wavelets, blur, and the sources of variability in the amplitude spectra of natural scenes.
Proceedings of the Human Vision and Electronic Imaging, 1996

1995
A multiscale dynamic routing circuit for forming size- and position-invariant object representations.
J. Comput. Neurosci., 1995

1993
Neurobiology, Psychophysics, and Computational Models of Visual Attention.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993


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