Together with Yeonjong Shin (Brown University) and Xueyu Zhu (U Iowa), we will co-host a 3-part mini-sympoiusm entitled “Recent Advances in Machine Learning and Data-Driven Methods for Physical Sciences and Engineering”, where 12 speakers will give talks on scientific machine learning and data-driven modeling.
- 9:30 AM – 11:30 AM, 04/12/2022, (Augusta E – 7th Floor) MS2 Part I
- 8:10 AM – 10:10 AM, 04/13/2022, (Augusta E – 7th Flow) MS45 Part II
- 8:10 AM – 10:10 AM, 04/14/2022, (Augusta E – 7th Flow) MS89 Part III
Our group will give 5 talks at SIAM UQ22.
- 3:00 – 3:25 PM, 04/12/2022, (Chastain J – 6th Floor), MS26, Xinyang Liu et al. Physics-Informed Model-Based Reinforcement Learning with Quantified Uncertainties.
- 3:15 – 3:40 PM, 04/13/2022, (Peachtree 2 – 8th Floor), MS71, Luning Sun et al. Deep Bayesian Spline Learning for Closed-Form Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
- 3:15 – 3:40 PM, 04/13/2022, (Peachree A 8th Floor), MS72, Han Gao et al. A long-span geometric deep learning framework based on attention mechanism for fast surrogate predictions of spatiotemporal dynamics
- 8:40 – 9:05 AM, 04/14/2022, (Augusta E – 7th Floor), MS89, Xinyang Liu et al. PDE-preserved network architecture for predicting spatiotemporal dynamics
- 5:30 – 5:55 PM, 04/14/2022, (Chastain E – 6th Floor), MS123, Pan Du et al. Fast Surrogate of 3-D Patient-Specific Computational Fluid Dynamics Using Statistical Shape Modeling and Deep Learning