SOTAVerified

Causal Inference

Causal inference is the task of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

( Image credit: Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 1722 papers

TitleStatusHype
PO-Flow: Flow-based Generative Models for Sampling Potential Outcomes and Counterfactuals—0
Towards a Science of Causal Interpretability in Deep Learning for Software Engineering—0
Toward Informed AV Decision-Making: Computational Model of Well-being and Trust in MobilityCode0
Cooperative Causal GraphSAGE—0
Assimilative Causal Inference—0
Causal Cartographer: From Mapping to Reasoning Over Counterfactual WorldsCode0
APEX: Empowering LLMs with Physics-Based Task Planning for Real-time InsightCode0
Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference—0
Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation—0
SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models—0
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI—0
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks—0
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference—0
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation—0
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery—0
Forests for Differences: Robust Causal Inference Beyond Parametric DiD—0
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification—0
Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction—0
Causal knowledge graph analysis identifies adverse drug effects—0
Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in ChildrenCode0
dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data—0
Moments of Causal Effects—0
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions—0
Structure Causal Models and LLMs Integration in Medical Visual Question Answering—0
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAverage Treatment Effect Error0.96—Unverified
2Balancing Linear RegressionAverage Treatment Effect Error0.93—Unverified
3k-NNAverage Treatment Effect Error0.79—Unverified
4CEVAEAverage Treatment Effect Error0.46—Unverified
5Balancing Neural NetworkAverage Treatment Effect Error0.42—Unverified
6Causal ForestAverage Treatment Effect Error0.4—Unverified
7BCAUS DRAverage Treatment Effect Error0.29—Unverified
8TARNetAverage Treatment Effect Error0.28—Unverified
9Counterfactual Regression + WASSAverage Treatment Effect Error0.27—Unverified
10MTDL-KNNAverage Treatment Effect Error0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1CFR WASSAverage Treatment Effect on the Treated Error0.09—Unverified
2CFR MMDAverage Treatment Effect on the Treated Error0.08—Unverified
3BARTAverage Treatment Effect on the Treated Error0.08—Unverified
4GANITEAverage Treatment Effect on the Treated Error0.06—Unverified
5BCAUSSAverage Treatment Effect on the Treated Error0.05—Unverified
#ModelMetricClaimedVerifiedStatus
1BARTAverage Treatment Effect Error0.34—Unverified
2OLS with separate regressors for each treatmentAverage Treatment Effect Error0.31—Unverified
3Average Treatment Effect Error-0.23—Unverified