| Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series | Feb 7, 2023 | Anomaly Detectioncounterfactual | —Unverified | 0 |
| Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples | Feb 6, 2023 | counterfactual | —Unverified | 0 |
| In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation | Feb 6, 2023 | counterfactualHeterogeneous Treatment Effect Estimation | CodeCode Available | 0 |
| Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation | Feb 6, 2023 | counterfactual | —Unverified | 0 |
| Learning Interpretable Low-dimensional Representation via Physical Symmetry | Feb 5, 2023 | counterfactualTime Series | CodeCode Available | 0 |
| Counterfactual Identifiability of Bijective Causal Models | Feb 4, 2023 | counterfactual | CodeCode Available | 0 |
| Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries | Feb 2, 2023 | counterfactualCounterfactual Inference | CodeCode Available | 1 |
| A Counterfactual Collaborative Session-based Recommender System | Jan 31, 2023 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Learning Data Representations with Joint Diffusion Models | Jan 31, 2023 | counterfactualDomain Adaptation | CodeCode Available | 1 |
| Improving Open-Domain Dialogue Evaluation with a Causal Inference Model | Jan 31, 2023 | Causal Inferencecounterfactual | —Unverified | 0 |
| Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions | Jan 30, 2023 | counterfactual | —Unverified | 0 |
| Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic | Jan 29, 2023 | counterfactual | —Unverified | 0 |
| Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI | Jan 27, 2023 | counterfactualExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 |
| ExplainableFold: Understanding AlphaFold Prediction with Explainable AI | Jan 27, 2023 | counterfactualPrediction | CodeCode Available | 1 |
| Epsilon-Identifiability of Causal Quantities | Jan 27, 2023 | counterfactual | —Unverified | 0 |
| Finding Regions of Counterfactual Explanations via Robust Optimization | Jan 26, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 1 |
| Automatic Debiased Estimation with Machine Learning-Generated Regressors | Jan 25, 2023 | counterfactualDimensionality Reduction | —Unverified | 0 |
| Individualized prescriptive inference in ischaemic stroke | Jan 25, 2023 | 4kcounterfactual | —Unverified | 0 |
| Counterfactual Editing for Search Result Explanation | Jan 25, 2023 | counterfactualCounterfactual Explanation | —Unverified | 0 |
| Transferable Fairness for Cold-Start Recommendation | Jan 25, 2023 | counterfactualFairness | —Unverified | 0 |
| Off-Policy Evaluation for Action-Dependent Non-Stationary Environments | Jan 24, 2023 | counterfactualCounterfactual Reasoning | CodeCode Available | 0 |
| Explainable Data-Driven Optimization: From Context to Decision and Back Again | Jan 24, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 1 |
| Counterfactual (Non-)identifiability of Learned Structural Causal Models | Jan 22, 2023 | counterfactualCounterfactual Inference | —Unverified | 0 |
| Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks | Jan 21, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| Bayesian Hierarchical Models for Counterfactual Estimation | Jan 21, 2023 | counterfactualFairness | —Unverified | 0 |