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Poster
Wed 15:00 LICO: Explainable Models with Language-Image COnsistency
Yiming Lei · Zilong Li · Yangyang Li · Junping Zhang · Hongming Shan
Poster
Tue 15:15 Explaining Predictive Uncertainty with Information Theoretic Shapley Values
David Watson · Joshua O'Hara · Niek Tax · Richard Mudd · Ido Guy
Poster
Thu 8:45 Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability
Usha Bhalla · Suraj Srinivas · Himabindu Lakkaraju
Poster
Wed 15:00 Explain Any Concept: Segment Anything Meets Concept-Based Explanation
Ao Sun · Pingchuan Ma · Yuanyuan Yuan · Shuai Wang
Poster
Tue 8:45 TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
Jialin Chen · Rex Ying
Poster
Tue 15:15 V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
Senzhang Wang · Jun Yin · Chaozhuo Li · Xing Xie · Jianxin Wang
Poster
Tue 15:15 Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture
Galen Pogoncheff · Jacob Granley · Michael Beyeler
Poster
Tue 15:15 Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI
Aditya Chattopadhyay · Ryan Pilgrim · Rene Vidal
Poster
Wed 8:45 Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
Quentin Delfosse · Hikaru Shindo · Devendra Dhami · Kristian Kersting
Poster
Thu 15:00 Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Anna Hedström · Leander Weber · Daniel Krakowczyk · Dilyara Bareeva · Franz Motzkus · Wojciech Samek · Sebastian Lapuschkin · Marina Höhne
Poster
Thu 15:00 [Re] On Explainability of Graph Neural Networks via Subgraph Explorations
Yannik Mahlau · Lukas Berg · Leonie Kayser
Poster
Thu 15:00 Reproducibility Study of ”Label-Free Explainability for Unsupervised Models”
Julius Wagenbach · Gergely Papp · Niklas Mather · Laurens de Vries