Browsing by Academic Advisor E, Weinan
Showing results 1 to 15 of 15
| Class Year | Author(s) | Title | Advisor |
| 2018 | Lin, Jiahuang | Applications of Deep Recurrent Neural Network to High Frequency Trading | Fan, Jianqing; E, Weinan |
| - | Han, Jiequn | Deep Learning for Large-Scale Molecular Dynamics and High-Dimensional Partial Differential Equations | E, Weinan |
| - | Wang, Yao | Estimation Error For Regression and Optimal Convergence Rate | E, Weinan |
| - | Zhang, Linfeng | Machine learning for multi-scale molecular modeling: theories, algorithms, and applications | E, Weinan; Car, Roberto |
| - | Tian, Haoshu | Mathematical Models for Financial Data | E, Weinan; Sims, Christopher A. |
| - | Ma, Chao | Mathematical Theory of Neural Network Models for Machine Learning | E, Weinan |
| - | Tai, Cheng | Multi-scale adaptive representation of signals: models and algorithms | E, Weinan |
| 2006 | Du, Peng (Peter) | The Nested Stochastic Simulation Algorithm | E, Weinan |
| 2018 | Yeduvaka, Aravind | Particle Picking and Image Restoration techniques in Cryo-EM | E, Weinan; Singer, Amit |
| - | Li, Qianxiao | Phase Transition and Free Action of Non-equilibrium Systems | E, Weinan |
| - | Shen, Hao | Renormalization theory in statistical physics and stochastic analysis | E, Weinan |
| 2021 | Wang, Qingcan | Selected Topics in Deep Learning Theory and Continuous-time Hidden Markov Models | E, Weinan |
| - | Cao, Yuan | Structure Detection in High Dimensional Graphical Models | Liu, Han; E, Weinan |
| 2021 | Bao, Ruying | Towards Robust Models in Deep Learning: Regularizing Neural Networks and Generative Models | E, Weinan |
| 2018 | Lawton, Ben | Variational Autoencoders: Finding a Foundation for ML Advances in Density Estimation | E, Weinan; Abbe, Emmanuel |