12 citations · 12 across the 3 of their papers we have counts for
3 papers
FOSSIL: Regret-Minimizing Curriculum Learning for Metadata-Free and Low-Data Mpox Diagnosis
Sahng-Min Han, Minjae Kim, Jinho Cha +4
Deep learning in small and imbalanced biomedical datasets remains fundamentally constrained by unstable optimization and poor generalization. We present the first biomedical implem…
A Foundational Brain Dynamics Model via Stochastic Optimal Control
Joonhyeong Park, Byoungwoo Park, Chang-Bae Bang +4
We introduce a foundational model for brain dynamics that utilizes stochastic optimal control (SOC) and amortized inference. Our method features a continuous-discrete state space m…
Convergence Analysis of Optimization Algorithms
HyoungSeok Kim, JiHoon Kang, WooMyoung Park +5
The regret bound of an optimization algorithms is one of the basic criteria for evaluating the performance of the given algorithm. By inspecting the differences between the regret…