JSM2023
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Raphael Huser

KAUST
9 appearances in the program

Sessions & presentations

Likelihood-Free Inference for Complex and Large Environmental Data
Invited Paper Session · Mon, Aug 7 , 10:30 AM
Organizer
Likelihood-Free Inference for Complex and Large Environmental Data
Presentation: Fast Optimal Estimation with Intractable Models using Permutation-Invariant Neural Networks
Invited Paper Session · Mon, Aug 7 , 10:30 AM
Co-Author
Extremes in a changing climate
Presentation: Deep Compositional Models for Nonstationary Extremal Dependence
Contributed Papers · Mon, Aug 7 , 2:00 PM
Co-Author
Extremes in a changing climate
Presentation: WITHDRAWN Modeling Multivariate Low and Large Extremes Without Threshold Selections
Contributed Papers · Mon, Aug 7 , 2:00 PM
Co-Author
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
Section on Statistics in Imaging Student Paper Award Winners
Presentation: Measuring Information Transfer Between Nodes in a Brain Network Through Spectral Transfer Entropy
Topic-Contributed Paper Session · Wed, Aug 9 , 10:30 AM
Co-Author
Statistics of Climate Extremes
Presentation: Statistical Machine Learning for Climate Extremes
Invited Paper Session · Wed, Aug 9 , 2:00 PM
Speaker
Fighting for Performance: Spatial Statistics Computing on Manycore Systems
Invited Paper Session · Thu, Aug 10 , 10:30 AM
Chair
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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