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Invited Paper Session

Amortized Learning for Environmental Data using Neural Networks

Mon, Aug 5, 2:00 PM - 3:50 PM

Reetam MajumderOrganizerBrian ReichChair

Section on Statistics and the Environment

4 Presentations

Fast Estimation of non-Gaussian Fields

2:05 PM - 2:30 PM

Douglas Nychka (Colorado School of Mines)

Co-authors: Sweta Rai, Soutir Bandyopadhyay (Colorado School of Mines)

Scaling Black-Box Inference to Large Spatial Settings: a Distributed Approach

2:30 PM - 2:55 PM

Neural amortized kriging for scalable Gaussian process inference

2:55 PM - 3:20 PM

Reetam Majumder (North Carolina State University)

Neural Bayes Estimators for Censored Inference with Peaks-over-threshold Models

3:20 PM - 3:45 PM

Raphael Huser (KAUST)

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