arXiv AI
Aug 26

Generative AI for Validating Physics Laws

arXiv:2503.17894v3 Announce Type: replace-cross Abstract: We propose generative learner for estimating heterogeneous treatment effects and characterizing the full distribution of causal effects. The...

By Maria Nareklishvili, Nicholas Polson, Vadim Sokolov
Hugging Face Trending Papers
Jul 5

Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models

Conditional generative models have emerged as powerful tools for sampling from target conditional distributions, driving substantial advances across a wide range of scientific and applied domains. As these models proliferate, practitioners often face multiple plausible generators whose performance can vary with the task, data, or input condition.

arXiv Machine Learning
Jun 30

Distributional Causal Mediation via Conditional Generative Modeling

arXiv:2605. 01765v2 Announce Type: replace-cross Abstract: Mediation analysis has traditionally focused on outcome-level summary contrasts, such as mean effects, which may obscure substantial distributional changes induced by complex and nonlinear causal mechanisms.

By Jinlun Zhang, Haoneng Huang, Zishu Zhan, Chunquan Ou