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人工智能经纬论坛第【18】期讲座通知

报告人：Desmond Elliott时间：2022/10/19 下午19:00主持人：赵东岩研究员Abstract: Language models are defined over a finite set of inputs, which creates a vocabulary bottleneck when we attempt to scale the number of supported languages. Tackling this bottleneck results in a trade-off between what can be represented in the embedding matrix and computational issues in the output layer. This pape...

2022-10-14

人工智能经纬论坛第【17】期讲座通知

报告人：Wengong Jin时间：2022/10/13 上午10:00主持人：周冰心博士AbstractMolecules and proteins are geometric objects, and their function relies on their structure (e.g., graph or 3D point cloud). The challenge of AI-driven molecular design includes prediction and generation. The prediction task (forward problem) aims to predict the property of a molecule/protein automatically based on its s...

2022-10-09

人工智能经纬论坛第【16】期讲座通知

报告人：Filip Tavernier时间：2022/09/29 下午4:00主持人：唐希源助理教授AbstractIn this talk, I will discuss the well-known trade-off between speed, accuracy, and power consumption of Nyquist ADCs. To compare different architectures, I will introduce a framework capturing the most significant effects and trade-offs on a building block level which eventually impact the overall ADC performance...

2022-09-26

人工智能经纬论坛第【15】期讲座通知

报告人：Rex Ying时间：2022/09/27 上午9:00主持人：Prof. Yu Guang Wang (上海交通大学自然科学研究院）AbstractThe talk focuses on geometric embedding approaches to representation learning on graph-structured data. We observe that certain inductive biases of graph data, such as hierarchies and transitive closures, can be modeled more effectively through different embedding geometries. We leverag...

2022-09-23

人工智能经纬论坛第【14】期讲座通知

报告人：Stephen McAleer时间：2022/09/16 下午21:00主持人：杨耀东助理教授AbstractThe double oracle (DO) algorithm is an approach for finding a Nash equilibrium in two-player zero-sum games. DO iteratively adds a best response to a population of policies and then mixes over this population via a Nash equilibrium of the game restricted to these strategies. Although in the worst-case DO will ha...

2022-09-13

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