2 papers
stat.ME2026
Nonparametric Identification and Inference for Counterfactual Distributions with Confounding
Jianle Sun, Kun Zhang
We propose nonparametric identification and semiparametric estimation of joint potential outcome distributions in the presence of confounding. First, in settings with observed conf…
cs.LG2025
PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis
Yan Wu, Esther Wershof, Sebastian M Schmon +7
We introduce a comprehensive framework for modeling single cell transcriptomic responses to perturbations, aimed at standardizing benchmarking in this rapidly evolving field. Our a…