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87 Results
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Poster
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Thu 8:45 |
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks Jun Yin · Chaozhuo Li · Hao Yan · Jianxun Lian · Senzhang Wang |
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Poster
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Tue 8:45 |
StateMask: Explaining Deep Reinforcement Learning through State Mask Zelei Cheng · Xian Wu · Jiahao Yu · Wenhai Sun · Wenbo Guo · Wenbo Guo · Xinyu Xing |
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Poster
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Tue 15:15 |
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective Mathieu Serrurier · Franck Mamalet · Thomas FEL · Louis Béthune · Louis Béthune · Thibaut Boissin |
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Poster
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Tue 8:45 |
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun · Alihan Hüyük · Daniel Jarrett · Mihaela van der Schaar |
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Poster
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Tue 8:45 |
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths Xu Chen · Jingsen Zhang · Lei Wang · Quanyu Dai · Zhenhua Dong · Ruiming Tang · Rui Zhang · Li Chen · Xin Zhao · Ji-Rong Wen |
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Poster
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Tue 15:15 |
Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions Chengzhi Cao · Chao Yang · Ruimao Zhang · Shuang Li |
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Poster
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Tue 15:15 |
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning Xinyi Wang · Wanrong Zhu · Michael Saxon · Mark Steyvers · William Yang Wang |
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Poster
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Tue 8:45 |
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models Siu Lun Chau · Krikamol Muandet · Dino Sejdinovic |
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Poster
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Wed 8:45 |
A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains Minkyu Choi · Kuan Han · Xiaokai Wang · Yizhen Zhang · Zhongming Liu |
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Poster
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Wed 8:45 |
Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents Zihao Wang · Shaofei Cai · Guanzhou Chen · Anji Liu · Xiaojian (Shawn) Ma · Yitao Liang |
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Poster
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Thu 15:00 |
Random Cuts are Optimal for Explainable k-Medians Konstantin Makarychev · Liren Shan |
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Poster
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Wed 15:00 |
Explainable Brain Age Prediction using coVariance Neural Networks Saurabh Sihag · Gonzalo Mateos · Corey McMillan · Alejandro Ribeiro |