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)

CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation. - Debajyoti Sengupta; Samuel Klein; John Andrew Raine; 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)

Improving new physics searches with diffusion models for event observables and jet constituents. - Debajyoti Sengupta; Matthew Leigh; John Andrew Raine; Samuel Klein; Tobias Golling (CoRR, 2023)

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

CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals. - John Andrew Raine; Samuel Klein; Debajyoti Sengupta; Tobias Golling (Frontiers Big Data, 2024)