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人工智能经纬论坛第【25】期讲座通知

报告人：Dr. Haggai Maron时间：2022/11/22 15:00 - 16:00主持人：张牧涵助理教授Title：Subgraph-based Networks for Expressive, Efficient, and Domain-Independent Graph LearningAbstract: While message-passing neural networks (MPNNs) are the most popular architectures for graph learning, their expressive power is inherently limited. In order to gain increased expressive power while retaining eff...

2022-11-17

人工智能经纬论坛第【24】期讲座通知

报告人：Prof. Ding-Xuan Zhou时间：2022/11/15 14:00 - 15:00主持人：王宇光教授Title：Mathematical Theory of Structured Deep Neural NetworksAbstract: Deep learning has been widely applied and brought breakthroughs in speech recognition, computer vision, natural language processing, and many other domains. The involved deep neural network architectures and computational issues have been well ...

2022-11-07

人工智能经纬论坛第【23】期讲座通知

报告人：Prof. Bruno Correia时间：2022/11/11 15:00 - 16:00主持人：王宇光教授Title：Expanding the Universe of Functional Proteins by Computational DesignAbstract: Finely orchestrated protein activities are at the heart of the most fundamental cellular processes. The rational and structure-based design of novel functional proteins holds the promise to revolutionize many important aspects in ...

2022-11-07

人工智能经纬论坛第【22】期讲座通知

报告人：Prof. Pan Li时间：2022/11/3 09:00 - 10:00主持人：王宇光教授Abstract: Graph-structured data and point cloud data are ubiquitous across scientific fields. Geometric deep learning (GDL) has recently been widely applied to solve prediction tasks with such data. GDL models are often designed with complex equivariant structures to preserve geometric principles and are thus hardly interpre...

2022-10-31

人工智能经纬论坛第【21】期讲座通知

报告人：Prof. Xavier Bresson时间：2022/10/27 14:00 - 15:00主持人：张小群教授Abstract: A quest to determine the complete sequence of a human DNA from telomere to telomere started three decades ago and was finally completed in 2021. This accomplishment was a result of a tremendous effort of numerous experts who engineered various tools and performed laborious manual inspection to achieve the ...

2022-10-25

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