Anirvan M. Sengupta

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 31

Top Topics

Biologically Plausible

Hebbian Learning

Transformed Images

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)
Tiberiu Tesileanu, Siavash Golkar, Samaneh Nasiri, Anirvan M. Sengupta, Dmitri B. Chklovskii
Neural Circuits for Dynamics-Based Segmentation of Time Series. Neural Comput. 34 (4) (2022)
Romain Cosentino, Anirvan M. Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Theodore L. Willke, Mariano Tepper
Toward a Geometrical Understanding of Self-supervised Contrastive Learning. CoRR (2022)
Romain Cosentino, Randall Balestriero, Yanis Bahroun, Anirvan M. Sengupta, Richard G. Baraniuk, Behnaam Aazhang
Spatial Transformer K-Means. IEEECONF (2022)
Atithi Acharya, Siddhartha Saha, Anirvan M. Sengupta
Informationally complete POVM-based shadow tomography. CoRR (2021)
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, Anirvan M. Sengupta
A Normative and Biologically Plausible Algorithm for Independent Component Analysis. NeurIPS (2021)
Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
Neural optimal feedback control with local learning rules. 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)
Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
Neural optimal feedback control with local learning rules. 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)
Cengiz Pehlevan, Xinyuan Zhao, Anirvan M. Sengupta, Dmitri B. Chklovskii
Neurons as Canonical Correlation Analyzers. Frontiers Comput. Neurosci. 14 (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)
Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
A Neural Network for Semi-Supervised Learning on Manifolds. CoRR (2019)
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)
Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
A Neural Network for Semi-supervised Learning on Manifolds. ICANN (1) (2019)
Mariano Tepper, Anirvan M. Sengupta, Dmitri B. Chklovskii
Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling. J. Mach. Learn. Res. 19 (2018)
Cengiz Pehlevan, Anirvan M. Sengupta, Dmitri B. Chklovskii
Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks? Neural Comput. 30 (1) (2018)
Anirvan M. Sengupta, Cengiz Pehlevan, Mariano Tepper, Alexander Genkin, Dmitri B. Chklovskii
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks. NeurIPS (2018)
Cengiz Pehlevan, Anirvan M. Sengupta
Resource-efficient perceptron has sparse synaptic weight distribution. SIU (2017)
Mariano Tepper, Anirvan M. Sengupta, Dmitri B. Chklovskii
The surprising secret identity of the semidefinite relaxation of K-means: manifold learning. CoRR (2017)
Cengiz Pehlevan, Anirvan M. Sengupta, Dmitri B. Chklovskii
Adversarial synapses: Hebbian/anti-Hebbian learning optimizes min-max objectives. CoRR (2017)
Mohammad Ramezanali, Partha P. Mitra, Anirvan M. Sengupta
Mean field analysis of sparse reconstruction with correlated variables. EUSIPCO (2016)
Mohammad Ramezanali, Partha P. Mitra, Anirvan M. Sengupta
The cavity method for phase transitions in sparse reconstruction algorithms. CoRR (2015)
Mohammad Ramezanali, Partha P. Mitra, Anirvan M. Sengupta
Critical behavior and universality classes for an algorithmic phase transition in sparse reconstruction. CoRR (2015)
Swagatam Mukhopadhyay, Anirvan M. Sengupta
The Role of Multiple Marks in Epigenetic Silencing and the Emergence of a Stable Bivalent Chromatin State. PLoS Comput. Biol. 9 (7) (2013)
Rajat Shuvro Roy, Kevin C. Chen, Anirvan M. Sengupta, Alexander Schliep
SLIQ: Simple Linear Inequalities for Efficient Contig Scaffolding. J. Comput. Biol. 19 (10) (2012)
R. Scott McIsaac, Kerwyn Casey Huang, Anirvan M. Sengupta, Ned S. Wingreen
Does the Potential for Chaos Constrain the Embryonic Cell-Cycle Oscillator? PLoS Comput. Biol. 7 (7) (2011)
Rajat Shuvro Roy, Kevin C. Chen, Anirvan M. Sengupta, Alexander Schliep
SLIQ: Simple Linear Inequalities for Efficient Contig Scaffolding CoRR (2011)
Adel Dayarian, Todd P. Michael, Anirvan M. Sengupta
SOPRA: Scaffolding algorithm for paired reads via statistical optimization. BMC Bioinform. 11 (2010)
Swagatam Mukhopadhyay, Vijayalakshmi H. Nagaraj, Anirvan M. Sengupta
Locus dependence in epigenetic chromatin silencing. Biosyst. 102 (1) (2010)
Amar Drawid, Nupur Gupta, Vijayalakshmi H. Nagaraj, Céline Gélinas, Anirvan M. Sengupta
OHMM: a Hidden Markov Model accurately predicting the occupancy of a transcription factor with a self-overlapping binding motif. BMC Bioinform. 10 (2009)
Adel Dayarian, Madalena Chaves, Eduardo D. Sontag, Anirvan M. Sengupta
Shape, Size, and Robustness: Feasible Regions in the Parameter Space of Biochemical Networks. PLoS Comput. Biol. 5 (1) (2009)
Ruadhan A. O'Flanagan, Guillaume Paillard, Richard Lavery, Anirvan M. Sengupta
Non-additivity in protein-DNA binding. Bioinform. 21 (10) (2005)
Aris L. Moustakas, Steven H. Simon, Anirvan M. Sengupta
Distribution of MIMO capacity in the presence of correlated signals and interferers: A (not so) large N analysis. Multiantenna Channels: Capacity, Coding and Signal Processing (2003)
Aris L. Moustakas, Steven H. Simon, Anirvan M. Sengupta
MIMO capacity through correlated channels in the presence of correlated interferers and noise: a (not so) large N analysis. IEEE Trans. Inf. Theory 49 (10) (2003)
Aris L. Moustakas, Steven H. Simon, Anirvan M. Sengupta
A model to calculate the capacity distribution of correlated MIMO channels and interferers. GLOBECOM (2003)