Yanis Bahroun - RankMe

22 papers A* 4Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity. CoRR David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2023	J	`jnl`	Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning. CoRR Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
2023	J	`jnl`	Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training. CoRR Yanis Bahroun, Shagesh Sridharan, Atithi Acharya, Dmitri B. Chklovskii, Anirvan M. Sengupta
2022	A*	`conf`	Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy. NeurIPS Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2022	—	`conf`	Spatial Transformer K-Means. IEEECONF Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang
2022	J	`jnl`	Spatial Transformer K-Means. CoRR Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang
2021	J	`jnl`	A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis. Neural Comput. David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2021	J	`jnl`	A Neural Network with Local Learning Rules for Minor Subspace Analysis. CoRR Yanis Bahroun, Dmitri B. Chklovskii
2021	A*	`conf`	A Normative and Biologically Plausible Algorithm for Independent Component Analysis. NeurIPS Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
2021	J	`jnl`	A Normative and Biologically Plausible Algorithm for Independent Component Analysis. CoRR Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
2021	J	`jnl`	A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit. CoRR Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for local supervision in cortical microcircuits. CoRR Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for multi-channel Canonical Correlation Analysis. CoRR David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	A*	`conf`	A simple normative network approximates local non-Hebbian learning in the cortex. NeurIPS Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	A simple normative network approximates local non-Hebbian learning in the cortex. CoRR Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	—	`—`	Exploration and extension of the similarity matching framework: feature learning, nonlinear methods and transformation learning. Yanis Bahroun
2020	J	`jnl`	Interpretable Image Clustering via Diffeomorphism-Aware K-Means. CoRR Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang
2019	A*	`conf`	A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit. NeurIPS Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
2017	—	`conf`	Building Efficient Deep Hebbian Networks for Image Classification Tasks. ICANN (1) Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio
2017	—	`conf`	Neural Networks for Efficient Nonlinear Online Clustering. ICONIP (1) Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio
2017	J	`jnl`	Online Representation Learning with Multi-layer Hebbian Networks for Image Classification Tasks. CoRR Yanis Bahroun, Andrea Soltoggio
2017	—	`conf`	Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification. ICANN (1) Yanis Bahroun, Andrea Soltoggio