Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
–Neural Information Processing Systems
When deploying machine learning estimators in science and engineering (SAE) domains, it is critical to avoid failed estimations that can have disastrous consequences, e.g., in aero engine design.
Neural Information Processing Systems
Nov-15-2025, 01:43:12 GMT
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