Sourav Chatterjee
· Assistant Professor of StatisticsStanford University · Statistics
Active 2003–2026
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About
Sourav Chatterjee is a Professor of Mathematics and Statistics at Stanford University, USA. His research interests include probability theory, statistics, and mathematical physics, with a focus on topics such as Liouville field theory, spin glasses, and large deviations in random graphs.
Research topics
- Demographic economics
- Economics
- Economic growth
Selected publications
A Survey of Some Recent Developments in Measures of Association
Indian statistical institute series · 2024-01-01 · 11 citations
book-chapter1st authorCorrespondingFeatures of a Spin Glass in the Random Field Ising Model
Communications in Mathematical Physics · 2024-04-01 · 5 citations
article1st authorCorrespondingLiouville theory: an introduction to rigorous approaches
Journal of High Energy Physics · 2025-02-21 · 3 citations
articleOpen access1st authorCorrespondingA bstract In recent years, a surprisingly direct and simple rigorous understanding of quantum Liouville theory has developed. We aim here to make this material more accessible to physicists working on quantum field theory.
Spectral gap of nonreversible Markov chains
The Annals of Applied Probability · 2025-08-01 · 2 citations
article1st authorCorrespondingNeural networks generalize on low complexity data
The Annals of Statistics · 2026-02-01
article1st authorCorrespondingWe show that feedforward neural networks with ReLU activation generalize on low complexity data, suitably defined. Given i.i.d. data generated from a simple programming language, the minimum description length (MDL) feedforward neural network which interpolates the data generalizes with high probability. We define this simple programming language, along with a notion of description length of such networks. We provide several examples on basic computational tasks, such as checking primality of a…
Recent grants
Concentration of measure, large deviations, normal approximation and applications
NSF · $310k · 2013–2017
Mathematical Foundations for Yang-Mills Theory, Randomly Growing Surfaces, and Related Systems
NSF · $330k · 2022–2025
Normal Approximation, Fair Allocations, Interacting Brownian Particles, and Applications
NSF · $130k · 2007–2010
Frequent coauthors
- 40 shared
Persi Diaconis
- 17 shared
Qi-Man Shao
- 12 shared
Allan Sly
Princeton University
- 12 shared
S. R. S. Varadhan
- 10 shared
Amir Dembo
Stanford University
- 9 shared
Laurent Miclo
Institut de Mathématiques de Toulouse
- 9 shared
Erik Bates
- 6 shared
Michel Ledoux
Awards & honors
- Elected to AAAS (American Academy of Arts & Sciences)
- Royal Society Fellow
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