Satyaki Mukherjee
Scholar

Satyaki Mukherjee

Google Scholar ID: Wk0Y_g4AAAAJ
National University of Singapore
ProbabilityRandom Matrix TheoryMachine learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
78
 
H-index
4
 
i10-index
4
 
Publications
14
 
Co-authors
10
list available
Contact
Emailsatyaki.mukhyo@gmail.comCVOpen ↗GitHubOpen ↗
Publications
3 items
Gaussian mixtures and non-parametric likelihoods through the lens of statistical mechanics
2026
Cited
0
Approximate FKG inequalities for phase-bound spin systems
2026
Cited
2
Recovering Imbalanced Clusters via Gradient-Based Projection Pursuit
2025
Cited
0
Resume (English only)
Background
  • Currently a postdoctoral researcher in the theory of machine learning. Interested in a variety of problems involving some mix of probability, statistics, computer science, graph theory and combinatorics.
Miscellany
  • Technical Skills: Probability, Learning Theory, Python; Hobbies: Systems Theory, Video Games and Media, Cooking
Co-authors
10 total
Co-author 1
Co-author 1
Nikhil Srivastava
Nikhil Srivastava
UC Berkeley
Debarghya Ghoshdastidar
Debarghya Ghoshdastidar
Technical University of Munich
Aritra Banik
Aritra Banik
Assistant professor, NISER
Sandip Das
Sandip Das
Professor, Indian Statistical Institute
Bhaswar B. Bhattacharya
Bhaswar B. Bhattacharya
Department of Statistics and Data Science, University of Pennsylvania
Co-author 7
Co-author 7
Co-author 8
Co-author 8