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cs.LG2026
Revalidation Beats Stateful Routing for Scientific Surrogates Under Distribution Shift
Harshil Lodhiya
Surrogate models are often chosen during development and then left in place as new measurements arrive. That practice becomes risky when noise, input support, or physical parameter…
cs.LG2026
ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machine Learning
Harshil Lodhiya
The efficient-KAN literature---covering Chebyshev, wavelet, and radial-basis-function variants of the original Kolmogorov-Arnold Network---has been benchmarked almost entirely on c…