Abstract: This article presents a generalizable methodology for data-driven identification of nonlinear dynamics that bounds the model error in terms of the ...
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Abstract: Machine learning models with various tensor operators are becoming ubiquitous in recent years. There are two types of operators in machine learning: compute-intensive operators (e.g., GEMM ...
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