The full proceedings can be found here.
PlanPilot: Efficient Navigation in Plan Space
Daniel Gnad, Augusto B. Corrêa, Johannes K Fichte, David Speck, Dominik Rusovac, Sarah Gaggl, Markus Hecher
Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models
Marouane Il Idrissi, Agathe Fernandes Machado, Arthur Charpentier
Probing the Embedding Space of Transformers via Minimal Token Perturbations
Eddie Conti, Alejandro Astruc, Alvaro Parafita, Axel Brando
Imputation Uncertainty in Interpretable Machine Learning Methods
Pegah Golchian, Marvin N. Wright
See What I Mean? CUE: A Cognitive Model of Understanding Explanations
Tobias Labarta, Nhi Hoang, Katharina Weitz, Wojciech Samek, Sebastian Lapuschkin, Leander Weber
Scaling and Robustness of Interpretable Text Classification: An Analysis of ProtoryNet
Meijie Li, Christin Seifert
SurvTreeSHAP(t) : scalable explanation method for tree-based survival models
Lucas Ducrot, Gilles Fevry, Clement Dano, Raphael Texier, Juliette Murris, Sandrine Katsahian
TRIP: A Nonparametric Test to Diagnose Biased Feature Importance Scores
Aaron Foote, Danny Krizanc
Can AI Explanations Make You Change Your Mind?
Laura Spillner, Rachel Ringe, Robert Porzel, Rainer Malaka
Interpreting CFD Surrogates through Sparse Autoencoders
Yeping Hu, Shusen Liu
Demystifying Black-Box Models in 2D Image Classification through Neighborhood-Based Influence
Fanghao Song, Xianlong Zeng, Zhongen Li, Krerkkiat Chusap, Chang Liu
Explainable Reinforcement Learning Agents Using World Models
Madhuri Singh, Amal Alabdulkarim, Gennie Mansi, Mark Riedl
Who Benefits from AI Explanations? Towards Accessible and Interpretable Systems
Maria Joelma Pereira Peixoto, Akriti Pandey, Ahsan Zaman, Peter R. Lewis