Anirvan M. Sengupta
Rutgers, The State University of New Jersey
H-index: 36
North America-United States
Top articles of Anirvan M. Sengupta
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Towards learning the disordered Hamiltonian with graph neural networks from experimental snapshots | Bulletin of the American Physical Society | Anna Dawid Joseph Tindall Anirvan Sengupta Antoine Georges | 2024/3/4 |
Compressing the two-particle Green's function using wavelets: Theory and application to the Hubbard atom | arXiv preprint arXiv:2402.13030 | Emin Moghadas Nikolaus Dräger Alessandro Toschi Jiawei Zang Matija Medvidović | 2024/2/20 |
Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function | arXiv preprint arXiv:2403.15372 | Jiawei Zang Matija Medvidović Dominik Kiese Domenico Di Sante Anirvan M Sengupta | 2024/3/22 |
Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training | arXiv preprint arXiv:2308.02427 | Yanis Bahroun Shagesh Sridharan Atithi Acharya Dmitri B Chklovskii Anirvan M Sengupta | 2023/8/2 |
Coordinated drift of receptive fields in Hebbian/anti-Hebbian network models during noisy representation learning | Nature Neuroscience | Shanshan Qin Shiva Farashahi David Lipshutz Anirvan M Sengupta Dmitri B Chklovskii | 2023/2 |
Learning the eigenstructure of quantum dynamics using classical shadows | arXiv preprint arXiv:2309.12631 | Atithi Acharya Siddhartha Saha Shagesh Sridharan Yanis Bahroun Anirvan M Sengupta | 2023/9/22 |
A Similarity-based Normative Framework for Bio-plausible Neural Nets | 4th Belgrade Bioinformatics Conference | Anirvan Sengupta | 2023 |
Normative framework for deriving neural networks with multicompartmental neurons and non-Hebbian plasticity | PRX Life | David Lipshutz Yanis Bahroun Siavash Golkar Anirvan M Sengupta Dmitri B Chklovskii | 2023/8/10 |
Learning quantum dynamics: Lindblad operators from classical shadows | APS March Meeting Abstracts | Atithi Acharya Siddhartha Saha Shagesh Sridharan Yanis Bahroun Anirvan Sengupta | 2023 |
Temporal quantum tomography with weak measurements | APS March Meeting Abstracts | Atithi Acharya Cesar Lemma Vadim Oganesyan Anirvan Sengupta | 2023 |
Duality principle and biologically plausible learning: Connecting the representer theorem and hebbian learning | arXiv preprint arXiv:2309.16687 | Yanis Bahroun Dmitri B Chklovskii Anirvan M Sengupta | 2023/8/2 |
Quantification of gas concentrations in NO/NO2/C3H8/NH3 mixtures using machine learning | Sensors and Actuators B: Chemical | Unab Javed Kannan P Ramaiyan Cortney R Kreller Eric L Brosha Rangachary Mukundan | 2022/5/15 |
Constrained predictive coding as a biologically plausible model of the cortical hierarchy | Advances in Neural Information Processing Systems | Siavash Golkar Tiberiu Tesileanu Yanis Bahroun Anirvan Sengupta Dmitri Chklovskii | 2022/12/6 |
Toward a geometrical understanding of self-supervised contrastive learning | arXiv preprint arXiv:2205.06926 | Romain Cosentino Anirvan Sengupta Salman Avestimehr Mahdi Soltanolkotabi Antonio Ortega | 2022/5/13 |
Behavioral Engagement and Manifold Representation in the Hippocampus: Evidence from the Mutual Information of Population Encoding and Location | Shagesh Sridharan Anirvan M Sengupta | 2022/11/21 | |
Neural circuits for dynamics-based segmentation of time series | Neural computation | Tiberiu Teşileanu Siavash Golkar Samaneh Nasiri Anirvan M Sengupta Dmitri B Chklovskii | 2022/3/23 |
Similarity-preserving Neural Networks from GPLVM and Information Theory | Yanis Bahroun Atithi Acharya Dmitri Chklovskii Anirvan M Sengupta | 2022/11/21 | |
Spatial Transformer K-Means | Romain Cosentino Randall Balestriero Yanis Bahroun Anirvan Sengupta Richard Baraniuk | 2022/10/31 | |
Deep learning the functional renormalization group | Physical review letters | Domenico Di Sante Matija Medvidović Alessandro Toschi Giorgio Sangiovanni Cesare Franchini | 2022/9/21 |
A biologically plausible neural network for multichannel canonical correlation analysis | Neural Computation | David Lipshutz Yanis Bahroun Siavash Golkar Anirvan M Sengupta Dmitri B Chklovskii | 2021/8/19 |
Co-Authors
