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10 Results
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Poster
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Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang · Wenzhao Zheng · Jie Zhou · Jiwen Lu |
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Poster
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Wed 2:30 |
Temporal Dependencies in Feature Importance for Time Series Prediction Kin Kwan Leung · Clayton Rooke · Jonathan Smith · Saba Zuberi · Maksims Volkovs |
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Poster
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Mon 2:30 |
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks Wenqian Li · Yinchuan Li · Zhigang Li · Jianye HAO · Yan Pang |
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Poster
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Mon 7:30 |
Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay · Kwan Ho Ryan Chan · Benjamin Haeffele · Donald Geman · Rene Vidal |
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Poster
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Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN? Jie Ren · Zhanpeng Zhou · Chen Qirui · Quanshi Zhang |
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Poster
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Distributionally Robust Recourse Action Duy Nguyen · Ngoc Bui · Viet Anh Nguyen |
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Poster
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Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse Martin Pawelczyk · Teresa Datta · Johan Van den Heuvel · Gjergji Kasneci · Hima Lakkaraju |
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Workshop
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Thu 3:00 |
Spotlight Session 1: "Quantus x Climate - Applying explainable AI evaluation in climate science" Philine Bommer · Anna Hedström · Marlene Kretschmer · Marina Höhne |
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Workshop
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Tutorial: Quantus x Climate - Applying explainable AI evaluation in climate science Philine Bommer · Anna Hedström · Marlene Kretschmer · Marina Höhne |
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Poster
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Wed 2:30 |
Explaining RL Decisions with Trajectories Shripad Deshmukh · Arpan Dasgupta · Balaji Krishnamurthy · Nan Jiang · Chirag Agarwal · Georgios Theocharous · Jayakumar Subramanian |