E-LIB Suche - Ergebnisse für: Boyda, Denis

1

Applications of flow models to the generation of correlated..:

Abbott, Ryan ; Botev, Aleksandar ; Boyda, Denis...
Physical Review D. 109 (2024) 9 - p. , 2024

Link: https://doi.org/10.1103/..

2

Aspects of scaling and scalability for flow-based sampling ..:

Abbott, Ryan ; Albergo, Michael S. ; Botev, Aleksandar...
The European Physical Journal A. 59 (2023) 11 - p. , 2023

Link: https://doi.org/10.1140/..

3

Flow-based sampling in the lattice Schwinger model at criti..:

Albergo, Michael S. ; Boyda, Denis ; Cranmer, Kyle...
Physical Review D. 106 (2022) 1 - p. , 2022

Link: https://doi.org/10.1103/..

4

Gauge-equivariant flow models for sampling in lattice field..:

Abbott, Ryan ; Albergo, Michael S. ; Boyda, Denis...
Physical Review D. 106 (2022) 7 - p. , 2022

Link: https://doi.org/10.1103/..

5

Flow-based sampling for fermionic lattice field theories:

Albergo, Michael S. ; Kanwar, Gurtej ; Racanière, Sébastien...
Physical Review D. 104 (2021) 11 - p. , 2021

Link: https://doi.org/10.1103/..

6

Sampling usingSU(N)gauge equivariant flows:

Boyda, Denis ; Kanwar, Gurtej ; Racanière, Sébastien...
Physical Review D. 103 (2021) 7 - p. , 2021

Link: https://doi.org/10.1103/..

7

Equivariant Flow-Based Sampling for Lattice Gauge Theory:

Kanwar, Gurtej ; Albergo, Michael S. ; Boyda, Denis...
Physical Review Letters. 125 (2020) 12 - p. , 2020

Link: https://doi.org/10.1103/..

8

Simulation of the charge migration in DNA under irradiation..:

Belov, Oleg V. ; Boyda, Denis L. ; Plante, Ianik...
Bio-Medical Materials and Engineering. 26 (2015) s1 - p. S1937-S1944 , 2015

Link: https://doi.org/10.3233/..

9

Applications of flow models to the generation of correlated..:

Abbott, Ryan ; Botev, Aleksandar ; Boyda, Denis...
http://arxiv.org/abs/2401.10874. , 2024

Link: http://arxiv.org/abs/240..

10

Normalizing flows for lattice gauge theory in arbitrary spa..:

Abbott, Ryan ; Albergo, Michael S ; Botev, Aleksandar...
http://arxiv.org/abs/2305.02402. , 2023

Link: http://arxiv.org/abs/230..

11

Aspects of scaling and scalability for flow-based sampling ..:

Abbott, Ryan ; Albergo, Michael S ; Botev, Aleksandar...
https://doi.org/10.1140/epja/s10050-023-01154-w. , 2023

Link: https://hdl.handle.net/1..

12

Flow-based sampling for fermionic lattice field theories:

Albergo, Michael S ; Kanwar, Gurtej ; Racanière, Sébastien...
10.1103/PHYSREVD.104.114507. , 2022

Link: https://hdl.handle.net/1..

13

Flow-based sampling in the lattice Schwinger model at criti..:

Albergo, Michael S ; Boyda, Denis ; Cranmer, Kyle...
http://arxiv.org/abs/2202.11712. , 2022

Link: http://arxiv.org/abs/220..

14

Applications of Machine Learning to Lattice Quantum Field T..:

Boyda, Denis ; Calì, Salvatore ; Foreman, Sam...
http://arxiv.org/abs/2202.05838. , 2022

Link: http://arxiv.org/abs/220..

15

Sampling QCD field configurations with gauge-equivariant fl..:

Abbott, Ryan ; Albergo, Michael S ; Botev, Aleksandar...
https://boris.unibe.ch/190365/. , 2022

Link: https://boris.unibe.ch/1..