dustin@enyeart.io
Dustin Lee Enyeart
Dustin Enyeart is an engineer at Stellar Science. His doctorate is from Purdue University. He has broad interests across applied mathematics, physics, coding and technical writing.
Elements of Mathematics and Physics
Some Studies in Operator Learning for Solving Differential Equations (Thesis) Loss Terms and Operator Forms of Koopman Autoencoders (2024) Some Best Practices in Operator Learning (2024) Adversarial Autoencoders in Operator Learning (2024)
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