Generative Inference and Calibration


Generative models are experiencing a second youth in imaging and scientific inference. New ideas include injective models for sampling high-dimensional posteriors, theoretical advances on statistical, approximation-theoretic, and topological questions, generating continuous functions which dovetail with the downstream PDE solvers, and creative uses of generative models to probe performance limits of inference systems. The session “Generative Inference and Calibration” brings together prominent researchers spearheading these exciting new directions.

Organisers: Ivan Dokmanic (Chair) & Philip Schniter (Committee member)

Session Schedule

08:00 - 08:20 Invited talk
Ivan Dokmanic
08:20 - 08:40 Invited talk
Giovanni Alberti
08:40 - 09:00 Invited talk
Yair Weiss
09:00 - 09:20 Invited talk
Yoram Bresler
09:20 - 09:40 Invited talk
Mario Figueiredo
09:40 - 11:00 Invited poster
Maarten de Hoop
09:40 - 11:00 Committee member poster
Phil Schniter
09:40 - 11:00 Contributed poster
Elrich Kobler
09:40 - 11:00 Contributed poster
Julia Linhart
09:40 - 11:00 Contributed poster
Martin Zach