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20242026
most citedWhat You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning

1 citations · 1 across the 3 of their papers we have counts for

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cs.LG2026

Backward-Consistent Diffusion Sampling for Sparsely Observed PDE Inverse Problems

Yida Pan, Muhammad H. Ashiq, Chanyong Jung +4

Recovering Partial Differential Equation (PDE) coefficient fields from extremely sparse observations is a severely ill-posed inverse problem for which generative machine learning m…

astro-ph.IM2026

Multigroup Thermal Radiation Transport with Tensor Trains

Aditya S. Deshpande, Patrick D. Mullen, Alex A. Gorodetsky +4

We investigate the application of tensor-train (TT) algorithms to multigroup thermal radiation transport (i.e., photon radiation transport). The TT framework enables simulations at…