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Poster
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Wed 8:45
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GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints
Shibal Ibrahim · Gabriel Afriat · Kayhan Behdin · Rahul Mazumder
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Poster
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Thu 15:00
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[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
Kyosuke Morita
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Poster
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Thu 15:00
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Reproducibility Study of ”Label-Free Explainability for Unsupervised Models”
Julius Wagenbach · Gergely Papp · Niklas Mather · Laurens de Vries
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Poster
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Tue 8:45
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[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods
Domen Mohorčič · David Ocepek
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Poster
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Tue 8:45
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Towards a fuller understanding of neurons with Clustered Compositional Explanations
Biagio La Rosa · Leilani Gilpin · Roberto Capobianco
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Workshop
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AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models
Sicheng Zhu · Ruiyi Zhang · Bang An · Gang Wu · Joe Barrow · Zichao Wang · Furong Huang · Ani Nenkova · Tong Sun
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Poster
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Tue 8:45
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SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
Max Torop · Aria Masoomi · Davin Hill · Kivanc Kose · Stratis Ioannidis · Jennifer Dy
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Workshop
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Extracting human interpretable structure-property relationships in chemistry using XAI and large language models
Geemi Wellawatte · Philippe Schwaller
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Workshop
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Interpretable Neural PDE Solvers using Symbolic Frameworks
Yolanne Lee · Yolanne Lee
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Workshop
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Interpretable machine learning approach to understand U.S. prevented planting events and project climate change impacts
Haynes Stephens
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