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Showing 651–700 of 2765 papers

TitleStatusHype
Controllable Sequence Editing for Biological and Clinical TrajectoriesCode0
Investigating the Robustness of Deductive Reasoning with Large Language Models—0
Counterfactual Situation Testing: From Single to Multidimensional DiscriminationCode0
A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation—0
Explainability-Driven Quality Assessment for Rule-Based Systems—0
Can We Validate Counterfactual Estimations in the Presence of General Network Interference?Code0
Computing and Learning Stationary Mean Field Equilibria with Scalar Interactions: Algorithms and Applications—0
AudioGenX: Explainability on Text-to-Audio Generative ModelsCode0
Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces—0
Universal Inference for Incomplete Discrete Choice Models—0
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual InferenceCode0
Copyright and Competition: Estimating Supply and Demand with Unstructured Data—0
Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet TransportCode0
Philip G. Wright, directed acyclic graphs, and instrumental variables—0
Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection—0
Asymmetrical Latent Representation for Individual Treatment Effect Modeling—0
Triplet Synthesis For Enhancing Composed Image Retrieval via Counterfactual Image Generation—0
Fairness Testing through Extreme Value Theory—0
Leveraging counterfactual concepts for debugging and improving CNN model performance—0
Modeling Attention during Dimensional Shifts with Counterfactual and Delayed FeedbackCode0
Counterfactual Explanations for k-means and Gaussian Clustering—0
Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models—0
Finding the Trigger: Causal Abductive Reasoning on Video Events—0
Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitations—0
A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding—0
Graph Counterfactual Explainable AI via Latent Space Traversal—0
An AI-driven framework for rapid and localized optimizations of urban open spaces—0
Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions through Logical Reasoning—0
Faithful Counterfactual Visual Explanations (FCVE)—0
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers—0
What Is a Counterfactual Cause in Action Theories?—0
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization—0
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing—0
Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction—0
Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations—0
Model Alignment Search—0
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments—0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks—0
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection—0
Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing—0
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction—0
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition—0
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example GenerationCode0
Post Launch Evaluation of Policies in a High-Dimensional Setting—0
Unsupervised dense retrieval with conterfactual contrastive learning—0
Econometric Analysis of Pandemic Disruption and Recovery Trajectory in the U.S. Rail Freight Industry—0
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis—0
Counterfactual Samples Constructing and Training for Commonsense Statements Estimation—0
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification—0
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