Building Efficient Deep Hebbian Networks for Image Classification Tasks. - Yanis Bahroun; Eugénie Hunsicker; Andrea Soltoggio (ICANN (1), 2017)

Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification. - Yanis Bahroun; Andrea Soltoggio (ICANN (1), 2017)

Neural Networks for Efficient Nonlinear Online Clustering. - Yanis Bahroun; Eugénie Hunsicker; Andrea Soltoggio (ICONIP (1), 2017)

Online Representation Learning with Multi-layer Hebbian Networks for Image Classification Tasks. - Yanis Bahroun; Andrea Soltoggio (CoRR, 2017)

A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit. - Yanis Bahroun; Dmitri B. Chklovskii; Anirvan M. Sengupta (NeurIPS, 2019)

A simple normative network approximates local non-Hebbian learning in the cortex. - Siavash Golkar; David Lipshutz; Yanis Bahroun; Anirvan M. Sengupta; Dmitri B. Chklovskii (NeurIPS, 2020)

A biologically plausible neural network for multi-channel Canonical Correlation Analysis. - David Lipshutz; Yanis Bahroun; Siavash Golkar; Anirvan M. Sengupta; Dmitri B. Chklovskii (CoRR, 2020)

A biologically plausible neural network for local supervision in cortical microcircuits. - Siavash Golkar; David Lipshutz; Yanis Bahroun; Anirvan M. Sengupta; Dmitri B. Chklovskii (CoRR, 2020)

Interpretable Image Clustering via Diffeomorphism-Aware K-Means. - Romain Cosentino; Randall Balestriero; Yanis Bahroun; Anirvan M. Sengupta; Richard G. Baraniuk; Behnaam Aazhang (CoRR, 2020)

Exploration and extension of the similarity matching framework: feature learning, nonlinear methods and transformation learning. - Yanis Bahroun (2020)

A Normative and Biologically Plausible Algorithm for Independent Component Analysis. - Yanis Bahroun; Dmitri B. Chklovskii; Anirvan M. Sengupta (NeurIPS, 2021)

A Neural Network with Local Learning Rules for Minor Subspace Analysis. - Yanis Bahroun; Dmitri B. Chklovskii (CoRR, 2021)

A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit. - Yanis Bahroun; Anirvan M. Sengupta; Dmitri B. Chklovskii (CoRR, 2021)

A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis. - David Lipshutz; Yanis Bahroun; Siavash Golkar; Anirvan M. Sengupta; Dmitri B. Chklovskii (Neural Comput., 2021)

Spatial Transformer K-Means. - Romain Cosentino; Randall Balestriero; Yanis Bahroun; Anirvan M. Sengupta; Richard G. Baraniuk; Behnaam Aazhang (IEEECONF, 2022)

Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy. - Siavash Golkar; Tiberiu Tesileanu; Yanis Bahroun; Anirvan M. Sengupta; Dmitri B. Chklovskii (NeurIPS, 2022)

A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity. - David Lipshutz; Yanis Bahroun; Siavash Golkar; Anirvan M. Sengupta; Dmitri B. Chklovskii (CoRR, 2023)

Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training. - Yanis Bahroun; Shagesh Sridharan; Atithi Acharya; Dmitri B. Chklovskii; Anirvan M. Sengupta (CoRR, 2023)

Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning. - Yanis Bahroun; Dmitri B. Chklovskii; Anirvan M. Sengupta (CoRR, 2023)