2 papers
cs.LG2026
Large-scale Score-based Variational Posterior Inference for Bayesian Deep Neural Networks
Minyoung Kim
Bayesian (deep) neural networks (BNN) are often more attractive than the vanilla point-estimate deep learning in various aspects including uncertainty quantification, robustness to…
cs.LG2025
A Unified Framework for Diffusion Bridge Problems: Flow Matching and Schrödinger Matching into One
Minyoung Kim
The bridge problem is to find an SDE (or sometimes an ODE) that bridges two given distributions. The application areas of the bridge problem are enormous, among which the recent ge…