most citedSuperintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

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Numerical PDE solvers outperform neural PDE solvers

Patrick Chatain, Michael Rizvi-Martel, Guillaume Rabusseau +1

We present DeepFDM, a differentiable finite-difference framework for learning spatially varying coefficients in time-dependent partial differential equations (PDEs). By embedding a…