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Poster
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Wed 1:45
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UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
Hyunju Kang · Geonhee Han · Hogun Park
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Workshop
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Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
Nishad Singhi · Karsten Roth · Jae Myung Kim · Zeynep Akata
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Workshop
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XDDPM: EXPLAINABLE DENOISING DIFFUSION PROB- ABILISTIC MODEL FOR SCIENTIFIC MODELING
Qianru Zhang · Chenglei Yu · Yudong Yan · Xiangyu Kuang · Yi Ma · Yuansheng Cao · Siu Ming Yiu · Tailin Wu
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Workshop
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Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI
Vladimir Zaigrajew · Hubert Baniecki · Lukasz Tulczyjew · Agata Wijata · Jakub Nalepa · Nicolas Longépé · Przemyslaw Biecek
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Workshop
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The Effect of Model Size on LLM Post-hoc Explainability via LIME
Henning Heyen · Amy Widdicombe · Noah Siegel · Philip Treleaven · Maria Perez-Ortiz
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Workshop
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The Effect of Model Size on LLM Post-hoc Explainability via LIME
Henning Heyen · Amy Widdicombe · Noah Siegel · Philip Treleaven · Maria Perez-Ortiz
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Workshop
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Explaining Human Comparisons using Alignment-Importance Heatmaps
Nhut Truong · Dario Pesenti · Uri Hasson
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Workshop
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Explainable Anomaly Detection in Sensor-based Remote Healthcare Monitoring with Adaptive Temporal Contrast
Nivedita Bijlani · Gustavo Carneiro · Payam Barnaghi · Samaneh Kouchaki
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Workshop
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Optimize Measurement Frequencies of Clinical Variables through Variance SHAP
Jiacheng Liu · Jaideep Srivastava
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Workshop
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Explaining Zeolite Synthesis-Structure Relationships using Aggregated SHAP Analysis
Elton Pan
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Workshop
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Bridging Lottery ticket and Grokking: Is Weight Norm Sufficient to Explain Delayed Generalization?
Gouki Minegishi · Yusuke Iwasawa · Yutaka Matsuo
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Workshop
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Measuring Mechanistic Interpretability at Scale Without Humans
Roland Zimmermann · David Klindt · Wieland Brendel
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