Author

Min-Sung Choi

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#machine learning Preprint Oct 2026

Lightweight and Versatile Learned Optimization by Recombination of Gradient History

A lightweight and versatile learned optimizer that dynamically recombines gradient history, represented as averages over disjoint time spans, is presented, which minimizes memory cost of long history, while keeping their contributions independently accessible.

Min-Sung Choi, Dalta Imam Maulana, Wanyeong Jung · 0 citations

Preprint Sep 2026

ReShoot: Generative Visual Domain Randomization of Recorded Robot Demonstrations for Visuomotor Policy Learning

This work introduces ReShoot, a framework that synthesizes visual diversity by re-rendering previously recorded demonstrations under altered appearances, thereby shifting the burden from data collection to generation.

Chiyoung Kim, Min-Sung Choi, Jin-Ho Ju et al. · 2 citations