In this work we focus on dynamics problems described by waves, i.e. by hyperbolic partial differential equations.
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A research team from ORNL, Pacific Northwest National Laboratory, and Arizona State University has developed a novel method to detect out-of-distribution (OOD) samples in continual learning without forgetting the learned knowledge of preceding tasks.