Anirvan M. Sengupta
3 papers · 2018–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
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Research topics
Keywords
manifold learning
(1)
semidefinite programming
(1)
convex optimization
(1)
k-means clustering
(1)
self-supervised learning
(1)
canonical correlation analysis
(1)
hierarchical feature learning
(1)
associative memory retrieval
(1)
conditional gradient method
(1)
modern hopfield network
(1)
nonnegative constraint
(1)
attention layer
(1)
biologically inspired computing
(1)
neural networks without backpropagation
(1)
gradient descent update
(1)
in-context denoising
(1)
one-layer transformer
(1)
Papers
A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation
AAAI 2026
In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval
ICML 2025
Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling
JMLR 2018