Projects per year
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Dive into the research topics where Anirvan Sengupta is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Finished
Research Output
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Neurons as Canonical Correlation Analyzers
Pehlevan, C., Zhao, X., Sengupta, A. M. & Chklovskii, D., Jun 30 2020, In: Frontiers in Computational Neuroscience. 14, 55.Research output: Contribution to journal › Article › peer-review
Open Access -
A Neural Network for Semi-supervised Learning on Manifolds
Genkin, A., Sengupta, A. M. & Chklovskii, D., 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer Verlag, p. 375-386 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11727 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A similarity-preserving neural network trained on transformed images recapitulates salient features of the fly motion detection circuit
Bahroun, Y., Sengupta, A. M. & Chklovskii, D. B., 2019, In: Advances in Neural Information Processing Systems. 32Research output: Contribution to journal › Conference article › peer-review
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Critical Behavior and Universality Classes for an Algorithmic Phase Transition in Sparse Reconstruction
Ramezanali, M., Mitra, P. P. & Sengupta, A. M., May 15 2019, In: Journal of Statistical Physics. 175, 3-4, p. 764-788 25 p.Research output: Contribution to journal › Article › peer-review
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Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling
Tepper, M., Sengupta, A. M. & Chklovskii, D., Nov 1 2018, In: Journal of Machine Learning Research. 19Research output: Contribution to journal › Article › peer-review
3 Scopus citations