Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks. - Mariia Drozdova; Vitaliy Kinakh; Guillaume Quétant; 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)

Turbo-Sim: a generalised generative model with a physical latent space. - Guillaume Quétant; Mariia Drozdova; Vitaliy Kinakh; Tobias Golling; Slava Voloshynovskiy (CoRR, 2021)

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)

PC-Droid: Faster diffusion and improved quality for particle cloud generation. - Matthew Leigh; Debajyoti Sengupta; John Andrew Raine; Guillaume Quétant; Tobias Golling (CoRR, 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)

TURBO: The Swiss Knife of Auto-Encoders. - Guillaume Quétant; Yury Belousov 001; Vitaliy Kinakh; Slava Voloshynovskiy (Entropy, 2023)

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)

PIPPIN: Generating variable length full events from partons. - Guillaume Quétant; John Andrew Raine; Matthew Leigh; Debajyoti Sengupta; Tobias Golling (CoRR, 2024)

A Machine Learning-Based Digital Twin for Anti-Counterfeiting Applications With Copy Detection Patterns. - Yury Belousov 001; Guillaume Quétant; Brian Pulfer; Roman Chaban; Joakim Tutt; Olga Taran; Taras Holotyak; Slava Voloshynovskiy (IEEE Trans. Inf. Forensics Secur., 2024)

Hubble Meets Webb: Image-to-Image Translation in Astronomy. - Vitaliy Kinakh; Yury Belousov 001; Guillaume Quétant; Mariia Drozdova; Taras Holotyak; Daniel Schaerer; Slava Voloshynovskiy (Sensors, 2024)

TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces. - Guillaume Quétant; Pavlo Molchanov 001; Slava Voloshynovskiy (CoRR, 2025)