Likelihood-free inference of experimental Neutrino Oscillations using Neural Spline Flows. - Sebastian Pina-Otey; Federico Sánchez; Vicens Gaitan (CoRR, 2020)

Efficient sampling generation from explicit densities via Normalizing Flows. - Sebastian Pina-Otey; Thorsten Lux; Federico Sánchez; Vicens Gaitan (CoRR, 2020)

Exhaustive Neural Importance Sampling applied to Monte Carlo event generation. - Sebastian Pina-Otey; Federico Sánchez; Thorsten Lux; Vicens Gaitan (CoRR, 2020)

Funnels: Exact maximum likelihood with dimensionality reduction. - Samuel Klein; John A. Raine; Sebastian Pina-Otey; Slava Voloshynovskiy; Tobias Golling (CoRR, 2021)

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. - Atul Kumar Sinha; Daniele Paliotta; Bálint Máté; Sebastian Pina-Otey; John A. Raine; Tobias Golling; François Fleuret (CoRR, 2022)