CMS postdoctoral scholar Qi (Rose) Yu, working with Professor Anima Anandkumar, and graduate student Stephan Zheng, working with Professor Yisong Yue, have won the Best Poster Presentation Award at the 2017 Neural Information Processing Systems (NIPS) Time Series Workshop. Dr. Yu works on the challenge of long-term forecasting in environments with nonlinear dynamics such as those involving climate and traffic data. She is tackling this challenge uses Tensor-Train RNN which are a novel family of neural sequence models that learn nonlinear dynamics directly using higher order moments and high-order state transition functions. [View her poster]
Written by
Trity Pourbahrami
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