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Young-Heon Kim - Towards stability of trajectory inference
This lecture was part of the Workshop on "Probabilistic Mass Transport - from Schrödinger to Stochastic Analysis" held at the ESI February 9 - 13, 2026.
Trajectory inference has important applications. In particular, biological development can be interpreted as a curve in the space of distributions of gene expressions, where one wants to infer such a curve from the sample data. There has been progress in this direction by using optimal transport (OT) as a way to interpolate different distributions, e.g. the work of Schiebinger et al. In this talk we discuss stability of such OT based method. This is joint work in progress with Geoff Schiebinger and Rentian Yao.
Видео Young-Heon Kim - Towards stability of trajectory inference канала Erwin Schrödinger International Institute for Mathematics and Physics (ESI)
Trajectory inference has important applications. In particular, biological development can be interpreted as a curve in the space of distributions of gene expressions, where one wants to infer such a curve from the sample data. There has been progress in this direction by using optimal transport (OT) as a way to interpolate different distributions, e.g. the work of Schiebinger et al. In this talk we discuss stability of such OT based method. This is joint work in progress with Geoff Schiebinger and Rentian Yao.
Видео Young-Heon Kim - Towards stability of trajectory inference канала Erwin Schrödinger International Institute for Mathematics and Physics (ESI)
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