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Yanis Bahroun
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Books and Theses
- 2020
- [b1]Yanis Bahroun:
Exploration and extension of the similarity matching framework: feature learning, nonlinear methods and transformation learning. Loughborough University, UK, 2020
Journal Articles
- 2021
- [j1]David Lipshutz
, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis. Neural Comput. 33(9): 2309-2352 (2021)
Conference and Workshop Papers
- 2022
- [c8]Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang:
Spatial Transformer K-Means. IEEECONF 2022: 1444-1448 - [c7]Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii:
Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy. NeurIPS 2022 - 2021
- [c6]Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta:
A Normative and Biologically Plausible Algorithm for Independent Component Analysis. NeurIPS 2021: 7368-7384 - 2020
- [c5]Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A simple normative network approximates local non-Hebbian learning in the cortex. NeurIPS 2020 - 2019
- [c4]Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta:
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit. NeurIPS 2019: 14178-14189 - 2017
- [c3]Yanis Bahroun, Andrea Soltoggio
:
Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification. ICANN (1) 2017: 354-363 - [c2]Yanis Bahroun, Eugénie Hunsicker
, Andrea Soltoggio
:
Building Efficient Deep Hebbian Networks for Image Classification Tasks. ICANN (1) 2017: 364-372 - [c1]Yanis Bahroun, Eugénie Hunsicker
, Andrea Soltoggio
:
Neural Networks for Efficient Nonlinear Online Clustering. ICONIP (1) 2017: 316-324
Informal and Other Publications
- 2023
- [i12]David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity. CoRR abs/2302.10051 (2023) - [i11]Yanis Bahroun, Shagesh Sridharan, Atithi Acharya, Dmitri B. Chklovskii, Anirvan M. Sengupta:
Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training. CoRR abs/2308.02427 (2023) - [i10]Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta:
Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning. CoRR abs/2309.16687 (2023) - 2022
- [i9]Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang:
Spatial Transformer K-Means. CoRR abs/2202.07829 (2022) - 2021
- [i8]Yanis Bahroun, Dmitri B. Chklovskii:
A Neural Network with Local Learning Rules for Minor Subspace Analysis. CoRR abs/2102.05501 (2021) - [i7]Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit. CoRR abs/2102.05503 (2021) - [i6]Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta:
A Normative and Biologically Plausible Algorithm for Independent Component Analysis. CoRR abs/2111.08858 (2021) - 2020
- [i5]David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A biologically plausible neural network for multi-channel Canonical Correlation Analysis. CoRR abs/2010.00525 (2020) - [i4]Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A simple normative network approximates local non-Hebbian learning in the cortex. CoRR abs/2010.12660 (2020) - [i3]Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A biologically plausible neural network for local supervision in cortical microcircuits. CoRR abs/2011.15031 (2020) - [i2]Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang:
Interpretable Image Clustering via Diffeomorphism-Aware K-Means. CoRR abs/2012.09743 (2020) - 2017
- [i1]Yanis Bahroun, Andrea Soltoggio:
Online Representation Learning with Multi-layer Hebbian Networks for Image Classification Tasks. CoRR abs/1702.06456 (2017)
Coauthor Index
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