JSM2023
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Christopher Wikle

University of Missouri-Columbia
4 appearances in the program

Sessions & presentations

Likelihood-Free Inference for Complex and Large Environmental Data
Invited Paper Session · Mon, Aug 7 , 10:30 AM
Discussant
Statistical Deep Learning for Environmental Research
Presentation: Hybrid Statistical-Neural Variational Autoencoders for Emulating Spatial Extremes
Invited Paper Session · Tue, Aug 8 , 10:30 AM
Speaker
Deep learning for climate change: forecasts, mitigation, and adaption
Presentation: Emulating complex climate models via integrating variational autoencoder and spatial extremes
Topic-Contributed Paper Session · Tue, Aug 8 , 2:00 PM
Co-Author
Machine Learning/Artificial Intelligence with atmospheric science applications
Presentation: Integrating variational autoencoder in the modeling of spatial extremes on high-resolution satellite
Contributed Papers · Thu, Aug 10 , 10:30 AM
Co-Author
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