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Time-Dependent Machine Learning for Volumetric Simulation

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DescriptionAn application of the ODE-net framework to volumetric simulation sequences. Examples of its use in retiming examples are presented, and the potential for additional applications are also discussed.

Contributors

Samuel Giraud-Carrier

Brigham Young University

Seth Holladay

Brigham Young University

Parris Egbert

Brigham Young University

Event Type

Poster

TimeThursday, 8 December 202210:00am - 6:00pm KST

LocationExhibition Hall 2, Level 1, West Wing

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