Guillaume Quétant

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces. CoRR Guillaume Quétant, Pavlo Molchanov, Slava Voloshynovskiy
2024	J	`jnl`	A Machine Learning-Based Digital Twin for Anti-Counterfeiting Applications With Copy Detection Patterns. IEEE Trans. Inf. Forensics Secur. Yury Belousov, Guillaume Quétant, Brian Pulfer, Roman Chaban, Joakim Tutt, Olga Taran, Taras Holotyak, Slava Voloshynovskiy
2024	J	`jnl`	Hubble Meets Webb: Image-to-Image Translation in Astronomy. Sensors Vitaliy Kinakh, Yury Belousov, Guillaume Quétant, Mariia Drozdova, Taras Holotyak, Daniel Schaerer, Slava Voloshynovskiy
2024	J	`jnl`	PIPPIN: Generating variable length full events from partons. CoRR Guillaume Quétant, John Andrew Raine, Matthew Leigh, Debajyoti Sengupta, Tobias Golling
2024	J	`jnl`	Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data. CoRR Francesco P. Ramunno, Stefan Hackstein, Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, André Csillaghy, Sviatoslav Voloshynovskiy
2023	J	`jnl`	EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion. CoRR Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih
2023	J	`jnl`	PC-Droid: Faster diffusion and improved quality for particle cloud generation. CoRR Matthew Leigh, Debajyoti Sengupta, John Andrew Raine, Guillaume Quétant, Tobias Golling
2023	J	`jnl`	PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics. CoRR Matthew Leigh, Debajyoti Sengupta, Guillaume Quétant, John Andrew Raine, Knut Zoch, Tobias Golling
2023	J	`jnl`	TURBO: The Swiss Knife of Auto-Encoders. CoRR Guillaume Quétant, Yury Belousov, Vitaliy Kinakh, Slava Voloshynovskiy
2023	J	`jnl`	TURBO: The Swiss Knife of Auto-Encoders. Entropy Guillaume Quétant, Yury Belousov, Vitaliy Kinakh, Slava Voloshynovskiy
2021	J	`jnl`	Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks. CoRR Mariia Drozdova, Vitaliy Kinakh, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy
2021	J	`jnl`	Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN. CoRR Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy
2021	J	`jnl`	Turbo-Sim: a generalised generative model with a physical latent space. CoRR Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, Tobias Golling, Slava Voloshynovskiy