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TitleStatusHype
An Adversarial Approach to Identification—0
Identification and Inference in General Bunching Designs—0
Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Ultrasound ImagingCode0
Causal Responsibility Attribution for Human-AI CollaborationCode0
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency MapsCode0
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers—0
Counterfactual Explanations via Riemannian Latent Space Traversal—0
Counterfactual explainability of black-box prediction models—0
Hierarchical and Density-based Causal Clustering—0
Fighting Spurious Correlations in Text Classification via a Causal Learning PerspectiveCode0
A Semiparametric Approach to Causal Inference—0
Constrained Sampling with Primal-Dual Langevin Monte CarloCode0
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms—0
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal PropertiesCode0
An Information Criterion for Controlled Disentanglement of Multimodal DataCode0
Counterfactual MRI Data Augmentation using Conditional Denoising Diffusion Generative ModelsCode0
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized RecommendationCode0
CoGS: Model Agnostic Causality Constrained Counterfactual Explanations using goal-directed ASP—0
CausAdv: A Causal-based Framework for Detecting Adversarial ExamplesCode0
Bayesian Counterfactual Prediction Models for HIV Care Retention with Incomplete Outcome and Covariate Information—0
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness—0
Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation—0
Robust Network Targeting with Multiple Nash Equilibria—0
Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models—0
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric AssessmentsCode0
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