Guillaume Quétant

According to our database, Guillaume Quétant authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces.

Guillaume Quétant, Pavlo Molchanov, Slava Voloshynovskiy

CoRR, March, 2025

2024

Hubble Meets Webb: Image-to-Image Translation in Astronomy.

Vitaliy Kinakh, Yury Belousov, Guillaume Quétant, Mariia Drozdova, Taras Holotyak, Daniel Schaerer, Slava Voloshynovskiy

Sensors, February, 2024

A Machine Learning-Based Digital Twin for Anti-Counterfeiting Applications With Copy Detection Patterns.

Yury Belousov, Guillaume Quétant, Brian Pulfer, Roman Chaban, Joakim Tutt, Olga Taran, Taras Holotyak, Slava Voloshynovskiy

IEEE Trans. Inf. Forensics Secur., 2024

PIPPIN: Generating variable length full events from partons.

Guillaume Quétant, John Andrew Raine, Matthew Leigh, Debajyoti Sengupta, Tobias Golling

CoRR, 2024

Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data.

Francesco P. Ramunno, Stefan Hackstein, Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, André Csillaghy, Sviatoslav Voloshynovskiy

CoRR, 2024

2023

TURBO: The Swiss Knife of Auto-Encoders.

Guillaume Quétant, Yury Belousov, Vitaliy Kinakh, Slava Voloshynovskiy

Entropy, October, 2023

EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion.

Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih

CoRR, 2023

PC-Droid: Faster diffusion and improved quality for particle cloud generation.

Matthew Leigh, Debajyoti Sengupta, John Andrew Raine, Guillaume Quétant, Tobias Golling

CoRR, 2023

PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics.

Matthew Leigh, Debajyoti Sengupta, Guillaume Quétant, John Andrew Raine, Knut Zoch, Tobias Golling

CoRR, 2023

2021

Turbo-Sim: a generalised generative model with a physical latent space.

Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, Tobias Golling, Slava Voloshynovskiy

CoRR, 2021

Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN.

Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy

CoRR, 2021

Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks.

Mariia Drozdova, Vitaliy Kinakh, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy

CoRR, 2021