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most citedPhysics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty

63 citations · 140 across the 5 of their papers we have counts for

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cs.LG2023★ 4 cited

Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications

Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa +2

The intersection of physics and machine learning has given rise to the physics-enhanced machine learning (PEML) paradigm, aiming to improve the capabilities and reduce the individu…