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Gurtej Kanwar
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Flow-based generative models for Markov chain Monte Carlo in lattice field theory
MS Albergo, G Kanwar, PE Shanahan
Physical Review D 100 (3), 034515, 2019
1562019
Equivariant flow-based sampling for lattice gauge theory
G Kanwar, MS Albergo, D Boyda, K Cranmer, DC Hackett, S Racaniere, ...
Physical Review Letters 125 (12), 121601, 2020
1382020
Sampling using gauge equivariant flows
D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ...
Physical Review D 103 (7), 074504, 2021
972021
Normalizing flows on tori and spheres
DJ Rezende, G Papamakarios, S Racaniere, M Albergo, G Kanwar, ...
International Conference on Machine Learning, 8083-8092, 2020
892020
Simit: A language for physical simulation
F Kjolstad, S Kamil, J Ragan-Kelley, DIW Levin, S Sueda, D Chen, ...
ACM Transactions on Graphics (TOG) 35 (2), 1-21, 2016
612016
Flow-based sampling for fermionic lattice field theories
MS Albergo, G Kanwar, S Racaniere, DJ Rezende, JM Urban, D Boyda, ...
Physical Review D 104 (11), 114507, 2021
272021
Path integral contour deformations for observables in gauge theory
W Detmold, G Kanwar, H Lamm, ML Wagman, NC Warrington
Physical Review D 103 (9), 094517, 2021
242021
Introduction to normalizing flows for lattice field theory
MS Albergo, D Boyda, DC Hackett, G Kanwar, K Cranmer, S Racaniere, ...
arXiv preprint arXiv:2101.08176, 2021
192021
Path integral contour deformations for noisy observables
W Detmold, G Kanwar, ML Wagman, NC Warrington
Physical Review D 102 (1), 014514, 2020
162020
Real-time lattice gauge theory actions: Unitarity, convergence, and path integral contour deformations
G Kanwar, ML Wagman
Physical Review D 104 (1), 014513, 2021
142021
Flow-based sampling for multimodal distributions in lattice field theory
DC Hackett, CC Hsieh, MS Albergo, D Boyda, JW Chen, KF Chen, ...
arXiv preprint arXiv:2107.00734, 2021
132021
Phase unwrapping and one-dimensional sign problems
W Detmold, G Kanwar, ML Wagman
Physical Review D 98 (7), 074511, 2018
112018
Algorithms, bounds, and strategies for entangled XOR games
AB Watts, AW Harrow, G Kanwar, A Natarajan
arXiv preprint arXiv:1801.00821, 2018
102018
Flow-based sampling in the lattice Schwinger model at criticality
MS Albergo, D Boyda, K Cranmer, DC Hackett, G Kanwar, S Racanière, ...
Physical Review D 106 (1), 014514, 2022
92022
Flow-based sampling for multimodal distributions in lattice field theory (2021)
DC Hackett, CC Hsieh, MS Albergo, D Boyda, JW Chen, KF Chen, ...
arXiv preprint arXiv:2107.00734, 0
9
Lattice Analysis of with 1 Adjoint Dirac Flavor
Z Bi, A Grebe, G Kanwar, P Ledwith, D Murphy, ML Wagman
arXiv preprint arXiv:1912.11723, 2019
72019
Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions
R Abbott, MS Albergo, D Boyda, K Cranmer, DC Hackett, G Kanwar, ...
Physical Review D 106 (7), 074506, 2022
62022
Sampling QCD field configurations with gauge-equivariant flow models
R Abbott, MS Albergo, A Botev, D Boyda, K Cranmer, DC Hackett, ...
arXiv preprint arXiv:2208.03832, 2022
62022
Sampling using SU (N) gauge equivariant flows,(2020)
D Boyda, G Kanwar, S Racaniere, DJ Rezende, MS Albergo, K Cranmer, ...
arXiv preprint arXiv:2008.05456, 0
5
Machine Learning and Variational Algorithms for Lattice Field Theory
G Kanwar
arXiv preprint arXiv:2106.01975, 2021
32021
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Articles 1–20