All times are given in UTC+2.

9:00 – 9:10: Introduction by one of the workshop chairs
9:10 – 10:10: Keynote talk “Understanding Human-Centric Side of Deep Neural Networks” by Bolei Zhou (from the Chinese University of Hong Kong)

10:10 – 10:15: Introduction to session by one of the workshop chairs
10:15 – 10:35: Demystifying Graph Neural Network Explanations (authors: Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl and Thomas Runkler)
10:35 – 10:55: On the Transferability of Neural Models of Morphological Analogies (authors: Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Miguel Couceiro and Pierre-Alexandre Murena)

10:55 – 11:25: Coffee break

11:25 – 11:30: Introduction to session by one of the workshop chairs
11-30 – 11:50: Post-hoc counterfactual generation with supervised autoencoder (authors: Victor Guyomard, Fran├žoise Fessant, Tassadit Bouadi and Thomas Guyet)
11:50 – 12:10: Behavior of k-NN as an Instance-Based Explanation Method (authors: Chhavi Yadav and Kamalika Chaudhuri)
12:10 – 12:30: TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models (authors: Udo Schlegel, Duy Lam Vo, Daniel A. Keim and Daniel Seebacher)
12:30 – 12:40: Bringing a Ruler Into the Black Box: Uncovering Feature Impact from Individual Conditional Expectation Plots (authors: Andrew Yeh and Anhthy Ngo)
12:40 – 12:50: Enhancing Performance of Occlusion-based explanation Methods by a Hierarchical Search Method on Input Images (authors: Hamed Behzadi Khormouji and Habib Rostami)

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