Schedule

9:00 Welcome

9:10 Keynote talk: Rosina Weber [slides are available here]

9:40 Paper session

• See What I Mean? CUE: A Cognitive Model of Understanding Explanations [slides are available here]

• Can AI Explanations Make You Change Your Mind? 

• Who Benefits from AI Explanations? Towards Accessible and Interpretable Systems 

• Demystifying Black-Box Models in 2D Image Classification through Neighborhood-Based Influence 

10:40 Coffee break

11:00 Paper session

• PlanPilot: Efficient Navigation in Plan Space [slides are available here]

• Explainable Reinforcement Learning Agents Using World Models [slides are available here]

• Counterfactual Strategies for Markov Decision Processes [paper accepted in main track]

• Interpreting CFD Surrogates through Sparse Autoencoders [slides are available here]

• SurvTreeSHAP(t) : scalable explanation method for tree-based survival models 

12:15 Lunch break (lunch not provided by IJCAI)

13:45 Paper session

• Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models [slides are available here] 

• Probing the Embedding Space of Transformers via Minimal Token Perturbations [slides are available here]

• Imputation Uncertainty In Interpretable Machine Learning Methods [slides are available here]

• Scaling and Robustness of Interpretable Text Classification: An Analysis of ProtoryNet [slides are available here]

• TRIP: A Nonparametric Test to Diagnose Biased Feature Importance Scores 

15:00 Coffee break

15:30 Fishbowl discussion

16:30 Closing