Yanis Bahroun

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 21

Top Topics

Biologically Plausible

Hebbian Learning

Canonical Correlation Analysis

Top Venues

Publications

Yanis Bahroun, Shagesh Sridharan, Atithi Acharya, Dmitri B. Chklovskii, Anirvan M. Sengupta
Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training. CoRR (2023)
Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning. CoRR (2023)
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 (2023)
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)
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang
Spatial Transformer K-Means. CoRR (2022)
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang
Spatial Transformer K-Means. IEEECONF (2022)
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) (2021)
Yanis Bahroun, Dmitri B. Chklovskii
A Neural Network with Local Learning Rules for Minor Subspace Analysis. CoRR (2021)
Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
A Normative and Biologically Plausible Algorithm for Independent Component Analysis. NeurIPS (2021)
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 (2021)
Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
A Normative and Biologically Plausible Algorithm for Independent Component Analysis. CoRR (2021)
David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
A biologically plausible neural network for multi-channel Canonical Correlation Analysis. CoRR (2020)
Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
A biologically plausible neural network for local supervision in cortical microcircuits. CoRR (2020)
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)
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 (2020)
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang
Interpretable Image Clustering via Diffeomorphism-Aware K-Means. CoRR (2020)
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)
Yanis Bahroun, Andrea Soltoggio
Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification. ICANN (1) (2017)
Yanis Bahroun, Andrea Soltoggio
Online Representation Learning with Multi-layer Hebbian Networks for Image Classification Tasks. CoRR (2017)
Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio
Neural Networks for Efficient Nonlinear Online Clustering. ICONIP (1) (2017)
Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio
Building Efficient Deep Hebbian Networks for Image Classification Tasks. ICANN (1) (2017)