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cs.LG2026
A Robust In-Context Model for Conservation Laws: Injecting Context into Flux Neural Operators via Recurrent Vision Transformers
Taeyoung Kim, Joon-Hyuk Ko
We propose an architecture that augments the Flux Neural Operator (Flux NO), which combines the classical finite volume method (FVM) with neural operators, with ViT-based context i…
cs.LG2026
Loop Corrections in Random Feature Models: Training Error and Generalization Gap
Taeyoung Kim
We study fixed-design random feature ridge regression beyond the mean-kernel approximation. The expectation is taken over the frozen-feature ensemble, conditional on the training s…