Scholar
SAGAR GHOSH
Google Scholar ID: Aa1OJWwAAAAJ
B.Math, M.Math@ISI Bangalore
Manifold Learning
Functional Analysis
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4 items
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Resume (English only)
Background
Enthusiast in Artificial Intelligence with a pure Mathematics background
Primary research areas include Manifold Learning, Geometric Deep Learning, Autonomous Trading using Deep Reinforcement Learning, and Operator Theory
Focuses on exploiting geometrical and topological properties of non-Euclidean data in Deep Learning
Explores statistical properties of deep learning architectures using tools from Riemannian Geometry and Operator Theory
Also works on Mixture of Experts, Diffusion Models, and mitigating the oversquashing phenomenon in Message Passing Graph Neural Networks
Co-authors
2 total
Kushal Bose
Research Fellow
Swagatam Das
Professor, Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata
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