| Online representation learning with single and multi-layer hebbian networks for image classification Y Bahroun, A Soltoggio Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 43* | 2017 |
| A biologically plausible neural network for multichannel canonical correlation analysis D Lipshutz, Y Bahroun, S Golkar, AM Sengupta, DB Chklovskii Neural Computation 33 (9), 2309-2352, 2021 | 21 | 2021 |
| A simple normative network approximates local non-Hebbian learning in the cortex S Golkar, D Lipshutz, Y Bahroun, A Sengupta, D Chklovskii Advances in neural information processing systems 33, 7283-7295, 2020 | 19 | 2020 |
| A similarity-preserving neural network trained on transformed images recapitulates salient features of the fly motion detection circuit Y Bahroun, AM Sengupta, DB Chklovskii Advances in Neural Information Processing Systems 32, 2019 | 13 | 2019 |
| Building efficient deep Hebbian networks for image classification tasks Y Bahroun, E Hunsicker, A Soltoggio International Conference on Artificial Neural Networks, 364-372, 2017 | 11 | 2017 |
| Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy S Golkar, T Tesileanu, Y Bahroun, AM Sengupta, DB Chklovskii Advances in Neural Information Processing Systems, 2022 | 10 | 2022 |
| A normative and biologically plausible algorithm for independent component analysis Y Bahroun, D Chklovskii, A Sengupta Advances in Neural Information Processing Systems 34, 7368-7384, 2021 | 7 | 2021 |
| A biologically plausible neural network for local supervision in cortical microcircuits S Golkar, D Lipshutz, Y Bahroun, AM Sengupta, DB Chklovskii NeurIPS 2020 Workshop Beyond Backpropagation, 2020 | 6 | 2020 |
| Neural networks for efficient nonlinear online clustering Y Bahroun, E Hunsicker, A Soltoggio Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 6 | 2017 |
| Normative framework for deriving neural networks with multicompartmental neurons and non-Hebbian plasticity D Lipshutz, Y Bahroun, S Golkar, AM Sengupta, DB Chklovskii PRX Life 1 (1), 013008, 2023 | 5 | 2023 |
| Spatial Transformer K-Means R Cosentino, R Balestriero, Y Bahroun, A Sengupta, R Baraniuk, ... 2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022 | 3 | 2022 |
| Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning Y Bahroun, DB Chklovskii, AM Sengupta ICML 2023 Duality Principles for Modern Machine Learning Workshop, 2023 | 1 | 2023 |
| Similarity-preserving Neural Networks from GPLVM and Information Theory Y Bahroun, A Acharya, D Chklovskii, AM Sengupta NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems, 2022 | 1 | 2022 |
| A neural network with local learning rules for minor subspace analysis Y Bahroun, DB Chklovskii arXiv preprint arXiv:2102.05501, 2021 | 1 | 2021 |
| Learning the eigenstructure of quantum dynamics using classical shadows A Acharya, S Saha, S Sridharan, Y Bahroun, AM Sengupta arXiv preprint arXiv:2309.12631, 2023 | | 2023 |
| Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training Y Bahroun, S Sridharan, A Acharya, DB Chklovskii, AM Sengupta ICML 2023 Localized Learning Workshop, 2023 | | 2023 |
| Learning quantum dynamics: Lindblad operators from classical shadows A Acharya, S Saha, S Sridharan, Y Bahroun, A Sengupta APS March Meeting Abstracts 2023, F72. 011, 2023 | | 2023 |
| Interpretable Image Clustering via Diffeomorphism-Aware K-Means R Cosentino, R Balestriero, Y Bahroun, A Sengupta, R Baraniuk, ... arXiv preprint arXiv:2012.09743, 2020 | | 2020 |
| Exploration and extension of the similarity matching framework: feature learning, nonlinear methods and transformation learning Y Bahroun Loughborough University, 2020 | | 2020 |
| A Alternative features for learning transformations Y Bahroun, AM Sengupta, DB Chklovksii | | |
Anirvan M. SenguptaProfessor of Physics and Astronomy, Rutgers UniversityVerified email at physics.rutgers.edu
