Accepted Papers

Interpretable Graph Model with Prototype-Based Graph Information Bottleneck

Train it, Extend it, Retrain it: Iterative Concept Discovery

Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema

Towards Fast Visual Explanations of Local Path Planning with LIME and GAN

Using Longitudinal Data for Plausible Counterfactual Expalanations

Generative Models for Counterfactual Explanations

Logically Explainable Malware Detection

MASALA: Model-Agnostic Surrogate Explanations by Locality Adaptation

GLEAMS: Bridging the Gap Between Local and Global Explanations

From Must to May: Enabling Test-Time Feature Imputation and Interventions

SGA: Scene Graph Alignment for Evaluation of Text-to-Image Generation

Evaluating the Reliability of Shapley Value Estimates: An Interval-Based Approach

Enhancing Interpretability in Multivariate Time Series Classification through Dimension and Feature Selection

Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features

Relevance Meets Diversity: A User-Centric Framework for Knowledge Exploration Through Recommendations