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most citedKnock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach

20 citations · 51 across the 7 of their papers we have counts for

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cs.LG2026

Differentiable Chemistry in PINNs for Solving Parameterized and Stiff Reaction Systems

Miloš Babić, Franz M. Rohrhofer, Stefan Posch

From neural ODEs to continuous-time machine learning, differentiable solvers allow physics, optimization, and simulation to become trainable components within deep learning systems…