기초과학연구원 의생명수학그룹
Abstract: This talk consists of two main parts. In the first part, I will discuss a numerical method for solving PDEs based on a stochastic representation of the solution. This …
In this talk, we discuss the paper "Machine learning methods trained on simple models can predict critical transitions in complex natural systems" by Smita Deb, Sahil Sidheekh, Christopher F. Clements, …
In this talk, we discuss the paper "Optimal transport for generating transition states in chemical reactions" by C. Duan et.al., Nat. Machine. Intelligence, 2025. Abstract Transition states (TSs) are transient …
Abstract: Weight calibration is a popular technique in handling covariate-shift problem in causal inference. It can be viewed as a dual optimization problem for incorporating the implicit regression model. We introduce the generalized entropy calibration as a general tool for weight calibration. Several interesting applications will be introduced in the context of causal inference. Furthermore, weight calibration can be used to transfer learning, which combines information from two different samples, one for source data and the other for target data.
In this talk, we discuss the paper "Action functional as an early warning indicator in the space of probability measures via Schrödinger bridge" by P. Zhang et.al., Quantitative biology, 2025. …