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Guillaume Quétant
Guillaume Quétant
在 unige.ch 的电子邮件经过验证 - 首页
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引用次数
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PC-JeDi: Diffusion for particle cloud generation in high energy physics
M Leigh, D Sengupta, G Quétant, JA Raine, K Zoch, T Golling
SciPost Physics 16 (1), 018, 2024
402024
Faster diffusion model with improved quality for particle cloud generation
M Leigh, D Sengupta, JA Raine, G Quétant, T Golling
Physical Review D 109 (1), 012010, 2024
23*2024
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion
E Buhmann, C Ewen, DA Faroughy, T Golling, G Kasieczka, M Leigh, ...
arXiv preprint arXiv:2310.00049, 2023
142023
Turbo-Sim: A generalised generative model with a physical latent space
G Quétant, M Drozdova, V Kinakh, T Golling, S Voloshynovskiy
arXiv preprint arXiv:2112.10629, 2021
52021
TURBO: The Swiss Knife of Auto-Encoders
G Quétant, Y Belousov, V Kinakh, S Voloshynovskiy
Entropy 25 (10), 1471, 2023
32023
Hubble Meets Webb: Image-to-Image Translation in Astronomy
V Kinakh, Y Belousov, G Quétant, M Drozdova, T Holotyak, D Schaerer, ...
Sensors 24 (4), 1151, 2024
22024
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
V Kinakh, M Drozdova, G Quétant, T Golling, S Voloshynovskiy
arXiv preprint arXiv:2112.09653, 2021
22021
A Machine Learning-Based Digital Twin for Anti-Counterfeiting Applications with Copy Detection Patterns
Y Belousov, G Quétant, B Pulfer, R Chaban, J Tutt, O Taran, T Holotyak, ...
IEEE Transactions on Information Forensics and Security, 2024
12024
Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data
FP Ramunno, S Hackstein, V Kinakh, M Drozdova, G Quétant, A Csillaghy, ...
Astronomy & Astrophysics 686, A285, 2024
2024
Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks
M Drozdova, V Kinakh, G Quétant, T Golling, S Voloshynovskiy
arXiv preprint arXiv:2112.09646, 2021
2021
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