About me

I'm a researcher interested in image processing and analysis, computer vision, pattern recognition, machine learning, optimization, and network analysis, and their application to medicine, social sciences, art, and neuroscience.

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I have joined the Brain-Inspired Computing Lab at Intel Labs

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Paper accepted at JMLR:
M. Tepper, A. Sengupta, D. Chklovskii.
Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling.

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Paper accepted at NIPS 2018:
A. Sengupta, M. Tepper, C. Pehlevan, A. Genkin, D. Chklovskii.
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks.