SAGAR GHOSH
Scholar

SAGAR GHOSH

Google Scholar ID: Aa1OJWwAAAAJ
B.Math, M.Math@ISI Bangalore
Manifold LearningFunctional Analysis
Citations & Impact
All-time
Citations
4
 
H-index
1
 
i10-index
0
 
Publications
4
 
Co-authors
2
list available
Contact
No contact links provided.
Publications
4 items
Browse publications on Google Scholar (top-right) ↗
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