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18 Results

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Workshop
Inter-animal transforms as a guide to model-brain comparison
Imran Thobani · Javier Sagastuy-Brena · Aran Nayebi · Rosa Cao · Daniel L Yamins
Workshop
Interpretable Machine Learning for power systems: Establishing Confidence in SHapley Additive exPlanationS
Tabia Ahmad · Robert Hamilton · Panagiotis N. Papadopoulos · Samuel Chevalier · Ilgiz Murzakhanov · Rahul Nellikkath · Jochen Stiasny · Spyros Chatzivasileiadis
Workshop
Less is More: Discovering Concise Network Explanations
Neehar Kondapaneni · Markus Marks · Oisin Mac Aodha · Pietro Perona
Workshop
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Qiming Bao · Juho Leinonen · Alex Peng · Wanjun Zhong · Gaël Gendron · Timothy Pistotti · Alice Huang · Paul Denny · Michael Witbrock · Jiamou Liu
Workshop
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton · Robert Ness · Emre Kiciman
Workshop
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton · Robert Ness · Emre Kiciman
Workshop
Sat 5:10 Inter-animal transforms as a guide to model-brain comparison
Imran Thobani
Poster
Wed 1:45 AttEXplore: Attribution for Explanation with model parameters eXploration
Zhiyu Zhu · Huaming Chen · Jiayu Zhang · Xinyi Wang · Zhibo Jin · Jason Xue · Flora Salim
Poster
Thu 7:30 Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
Kesen Zhao · Liang Zhang
Poster
Fri 1:45 Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
Yair Gat · Nitay Calderon · Amir Feder · Alexander Chapanin · Amit Sharma · Roi Reichart
Poster
Thu 7:30 Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Xiaoxin He · Xavier Bresson · Thomas Laurent · Adam Perold · Yann LeCun · Bryan Hooi
Affinity Workshop
Tue 1:45 Generating Counterfactual Explanations Using Cardinality Constraints.
Ruben Ruiz-Torrubiano