4 papers
Quadratic Point Estimate Method for Uncertainty Quantification with Dependent Non-Gaussian Inputs
Minhyeok Ko, Konstantinos G. Papakonstantinou
As an extension of the Point Estimate Method (PEM) to evaluate probabilistic moments of quantities of interest (QoI) in general -dimensional spaces, the Quadratic Point Estimate…
Unscented KalmanNet: Structure-Preserving Deep Learning with Calibrated Posterior Uncertainty under Incomplete Physics and Unknown Noise
Minhyeok Ko, Abdollah Shafieezadeh
Nonlinear state estimation requires sequentially fusing model-based predictions with noisy measurements. Under imperfect dynamics and unknown, time-varying noise statistics, this f…
Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards
Jaehoon Yun, Jiwoong Sohn, Jungwoo Park +9
Large language models have shown promise in clinical decision making, but current approaches struggle to localize and correct errors at specific steps of the reasoning process. Thi…
Quadratic Point Estimate Method for Probabilistic Moments Computation
Minhyeok Ko, Konstantinos G. Papakonstantinou
This paper presents in detail the originally developed Quadratic Point Estimate Method (QPEM), aimed at efficiently and accurately computing the first four output moments of probab…