most citedRandomness and signal propagation in physics-informed neural networks (PINNs): A neural PDE perspective

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Kinetic-based regularization: Learning spatial derivatives and PDE applications

Abhisek Ganguly, Santosh Ansumali, Sauro Succi

Accurate estimation of spatial derivatives from discrete and noisy data is central to scientific machine learning and numerical solutions of PDEs. We extend kinetic-based regulariz…