ML Anthology

Sengupta, Anirvan

6 publications

NeurIPS 2022 Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan Sengupta, Dmitri B. Chklovskii
NeurIPS 2021 A Normative and Biologically Plausible Algorithm for Independent Component Analysis Yanis Bahroun, Dmitri B. Chklovskii, Anirvan Sengupta
NeurIPS 2021 Neural Optimal Feedback Control with Local Learning Rules Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan Sengupta, Dmitri B. Chklovskii
NeurIPS 2020 A Simple Normative Network Approximates Local Non-Hebbian Learning in the Cortex Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan Sengupta, Dmitri B. Chklovskii
NeurIPS 2019 A Similarity-Preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit Yanis Bahroun, Dmitri Chklovskii, Anirvan Sengupta
NeurIPS 2018 Manifold-Tiling Localized Receptive Fields Are Optimal in Similarity-Preserving Neural Networks Anirvan Sengupta, Cengiz Pehlevan, Mariano Tepper, Alexander Genkin, Dmitri Chklovskii