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20 Results
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Poster
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Tue 17:30 |
Retrosynthesis Prediction with Conditional Graph Logic Network Hanjun Dai · Chengtao Li · Connor Coley · Bo Dai · Le Song |
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Poster
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Thu 17:00 |
KerGM: Kernelized Graph Matching Zhen Zhang · Yijian Xiang · Lingfei Wu · Bing Xue · Arye Nehorai |
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Tutorial
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Mon 11:15 |
Machine Learning for Computational Biology and Health Anna Goldenberg · Barbara Engelhardt |
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Poster
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Thu 17:00 |
Generative Models for Graph-Based Protein Design John Ingraham · Vikas Garg · Regina Barzilay · Tommi Jaakkola |
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Poster
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Thu 17:00 |
Deep imitation learning for molecular inverse problems Eric Jonas |
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Poster
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Thu 10:45 |
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian · Long Zhao · Xi Peng · Dimitris Metaxas |
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Poster
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Tue 10:45 |
Conditional Independence Testing using Generative Adversarial Networks Alexis Bellot · Mihaela van der Schaar |
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Poster
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Wed 17:00 |
Learning to Optimize in Swarms Yue Cao · Tianlong Chen · Zhangyang Wang · Yang Shen |
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Poster
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Thu 17:00 |
Wasserstein Weisfeiler-Lehman Graph Kernels Matteo Togninalli · Elisabetta Ghisu · Felipe Llinares-Lopez · Bastian Rieck · Karsten Borgwardt |
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Poster
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Thu 17:00 |
End-to-End Learning on 3D Protein Structure for Interface Prediction Raphael Townshend · Rishi Bedi · Patricia Suriana · Ron Dror |
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Poster
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Thu 17:00 |
A Self Validation Network for Object-Level Human Attention Estimation Zehua Zhang · Chen Yu · David Crandall |
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Poster
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Wed 10:45 |
Likelihood Ratios for Out-of-Distribution Detection Jie Ren · Peter Liu · Emily Fertig · Jasper Snoek · Ryan Poplin · Mark Depristo · Joshua Dillon · Balaji Lakshminarayanan |