Master's thesis submission talk (Data Engineering and Analytics). Zhen is advised by Dr. Felix Dietrich.
Previous talks at the SCCS Colloquium
Zhen Zhang: Neural Sparse Grids for High-Dimensional Data
SCCS Colloquium |
Sparse Grids and Artificial Neural Networks are 2 function approximation methods. This thesis studies the integration of these 2 methods. Specifically, a sparse grids layer is appended after ANN for general regression problems. Different model training methods will be discussed and we will also integrate it in convolutional neural networks.