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26 Results
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Poster
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Wed 1:45 |
GOAt: Explaining Graph Neural Networks via Graph Output Attribution Shengyao Lu · Keith G Mills · Jiao He · Bang Liu · Di Niu |
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Poster
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Wed 1:45 |
Explaining Time Series via Contrastive and Locally Sparse Perturbations Zichuan Liu · Yingying ZHANG · Tianchun Wang · Zefan Wang · Dongsheng Luo · Mengnan Du · Min Wu · Yi Wang · Chunlin Chen · Lunting Fan · Qingsong Wen |
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Poster
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Fri 1:45 |
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design Jeff Guo · Philippe Schwaller |
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Poster
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Thu 7:30 |
Explaining Kernel Clustering via Decision Trees Maximilian Fleissner · Leena Chennuru Vankadara · Debarghya Ghoshdastidar |
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Poster
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Fri 7:30 |
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks Xu Zheng · Farhad Shirani · Tianchun Wang · Wei Cheng · Zhuomin Chen · Haifeng Chen · Hua Wei · Dongsheng Luo |
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Poster
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Fri 7:30 |
Detecting, Explaining, and Mitigating Memorization in Diffusion Models Yuxin Wen · Yuchen Liu · Chen Chen · Lingjuan Lyu |
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Poster
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Thu 1:45 |
GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries Xiaoqi Wang · Han Wei Shen |
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Poster
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Fri 1:45 |
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks Peter Müller · Lukas Faber · Karolis Martinkus · Roger Wattenhofer |
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Poster
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Wed 7:30 |
The Effective Horizon Explains Deep RL Performance in Stochastic Environments Cassidy Laidlaw · Banghua Zhu · Stuart Russell · Anca Dragan |
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Poster
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Thu 7:30 |
Learning the greatest common divisor: explaining transformer predictions François Charton |
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Oral
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Fri 7:15 |
Detecting, Explaining, and Mitigating Memorization in Diffusion Models Yuxin Wen · Yuchen Liu · Chen Chen · Lingjuan Lyu |
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Poster
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Thu 1:45 |
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking Mert Kosan · Samidha Verma · Burouj Armgaan · Khushbu Pahwa · Ambuj K Singh · Sourav Medya · Sayan Ranu |