Teleporter Theory: A General and Simple Approach for Modeling
Cross-World Counterfactual Causality

Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality

17 June 2024

Jiangmeng Li

Papers citing "Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality"

4 / 4 papers shown

Title
Learning Invariant Molecular Representation in Latent Discrete Space Zhuang Xiang Qiang Zhang Keyan Ding Yatao Bian Xiao Wang Jingsong Lv Hongyang Chen Huajun Chen OOD 26 16 0 22 Oct 2023
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 89 170 0 30 Jan 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji Lu Zhang Jiaxiang Wu Bing Wu Long-Kai Huang ... Ping Luo Shuigeng Zhou Junzhou Huang Peilin Zhao Yatao Bian OOD 54 73 0 24 Jan 2022
Relating Graph Neural Networks to Structural Causal Models Matej Zečević D. Dhami Petar Velickovic Kristian Kersting AI4CE CML 47 53 0 09 Sep 2021