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cs.LG2026
A Journey to the Edge of Stability
Jaerin Lee, Kyoung Mu Lee
It has recently been found that deep learning often occurs at the "edge of stability (EoS)," where the maximum Hessian eigenvalue of the model is stabilized at a value reciprocal t…
cs.LG2026
The Road Taken: The Role of Optimizers at the Edge of Stability
Jaerin Lee, Kyoung Mu Lee
The edge of stability refers to a phenomenon in deep learning with gradient-based optimizers where the Hessian eigenvalues of the loss remain stable above a threshold that the clas…
cs.CV2026
Vector Scaffolding: Inter-Scale Orchestration for Differentiable Image Vectorization
Jaerin Lee, Kanggeon Lee, Kyoung Mu Lee
Differentiable vector graphics have enabled powerful gradient-based optimization of vector primitives directly from raster images. However, existing frameworks formulate this as a…