jwyyy / AdaFNN

[ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers

This repo contains a PyTorch implementation of the model AdaFNN proposed in "Deep Learning for Functional Data Analysis with Adaptive Basis Layers", ICML 2021.

arxiv: https://arxiv.org/abs/2106.10414.

If you find this repository useful in your research, please consider citing the following paper:

@InProceedings{pmlr-v139-yao21c,
  title      = 	{Deep Learning for Functional Data Analysis with Adaptive Basis Layers},
  author     =  {Yao, Junwen and Mueller, Jonas and Wang, Jane-Ling},
  booktitle  = 	{Proceedings of the 38th International Conference on Machine Learning},
  pages      =  {11898--11908},
  year       =  {2021},
  editor     =	{Meila, Marina and Zhang, Tong},
  volume     = 	{139},
  series     = 	{Proceedings of Machine Learning Research},
  month      = 	{18--24 Jul},
  publisher  =  {PMLR}
}