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cs.LG2026
BEACONS: Bounded-Error, Algebraically-Composable Neural Solvers for Partial Differential Equations
Jonathan Gorard, Ammar Hakim, James Juno
The traditional limitations of neural networks in reliably generalizing beyond the convex hulls of their training data present a significant problem for computational physics, in w…
cs.LG2025
Improved Dimensionality Reduction for Inverse Problems in Nuclear Fusion and High-Energy Astrophysics
Jonathan Gorard, Ammar Hakim, Hong Qin +2
Many inverse problems in nuclear fusion and high-energy astrophysics research, such as the optimization of tokamak reactor geometries or the inference of black hole parameters from…