Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning

28 May 2021

Papers citing "Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning"

4 / 4 papers shown

Title
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 138 0 0 18 Mar 2025
No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology Luka Kovacevic Thomas Gaudelet James Opzoomer Hagen Triendl John Whittaker Caroline Uhler Lindsay Edwards J. Taylor-King AI4CE 72 0 0 31 Jan 2025
Interventions, Where and How? Experimental Design for Causal Models at Scale P. Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Y. Gal Stefan Bauer CML 31 48 0 03 Mar 2022
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 221 626 0 20 Feb 2013