Proceedings

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