Gurtej Kanwar

Statistics

Publications

Citations

896

H-Index

Active since

2016

Affiliations

Massachusetts Institute of Technology(Current)

Google DeepMind (United Kingdom)

New York University

The NSF AI Institute for Artificial Intelligence and Fundamental Interactions

University of Bern

Gurtej Kanwar is an author at Massachusetts Institute of Technology specializing in computational physics, natural sciences, and lattice field theory.

ORCID

Publications per year

2016–2025

Publications

Flow-based generative models for Markov chain Monte Carlo in lattice field theory

Michael S. Albergo, Gurtej Kanwar, Phiala E. Shanahan · Physical review. D/Physical review. D. · 2019 · 227 citations · Full text

Computing, Physics, Probability Theory +12

Equivariant Flow-Based Sampling for Lattice Gauge Theory

Gurtej Kanwar, Michael S. Albergo, Denis Boyda et al. · Physical Review Letters · 2020 · 198 citations · Full text

Natural Sciences, Mathematics, Physics +15

The anomalous magnetic moment of the muon in the Standard Model: an update

R. Aliberti, Tatsumi Aoyama, Elisa Balzani et al. · Physics Reports · 2025 · 96 citations · Full text

Natural Sciences, Physics, Electromagnetism +11

Normalizing Flows on Tori and Spheres

Danilo Jimenez Rezende, George Papamakarios, Sébastien Racanière et al. · arXiv (Cornell University) · 2020 · 59 citations · Full text

Natural Sciences, Mathematics, Computational Geometry +7

Simit

Fredrik Kjølstad, Shoaib Kamil, Jonathan Ragan‐Kelley et al. · ACM Transactions on Graphics · 2016 · 57 citations · Full text

Computing, Computer Science, High-performance Computing +7

1–5 of 16