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Workshop
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SELF-EXPLAIN: Teaching Large Language Models to Reason Complex Questions by Themselves
Jiachen Zhao · Zonghai Yao · Zhichao Yang · Hong Yu
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Workshop
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Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
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Workshop
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Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
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Workshop
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On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
Mathieu Serrurier · Franck Mamalet · Thomas FEL · Louis Béthune · Thibaut Boissin
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Workshop
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Grokking modular arithmetic can be explained by margin maximization
Mohamad Amin Mohamadi · Zhiyuan Li · Lei Wu · Danica J. Sutherland
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Workshop
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Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
Jeff Guo · Philippe Schwaller
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Workshop
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Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
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Workshop
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On the Consistency of GNN Explainability Methods
Ehsan Hajiramezanali · Sepideh Maleki · Alex Tseng · Aicha BenTaieb · Gabriele Scalia · Tommaso Biancalani
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Workshop
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Explainable Offline-online Training of Neural Networks for Multi-scale Climate Modeling
Hamid A. Pahlavan · Pedram Hassanzadeh · M. Joan Alexander
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Workshop
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Are Large Language Models Post Hoc Explainers?
Nicholas Kroeger · Dan Ley · Satyapriya Krishna · Chirag Agarwal · Himabindu Lakkaraju
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Workshop
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On the Consistency of GNN Explainability Methods
Ehsan Hajiramezanali · Sepideh Maleki · Alex Tseng · Aicha BenTaieb · Gabriele Scalia · Tommaso Biancalani
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Workshop
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Explaining high-dimensional text classifiers
Odelia Melamed · Rich Caruana
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