Skip to content

Latest commit

 

History

2 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 

Repository files navigation

A Deep Learning Framework for Multi-Operator Learning: Architectures and Approximation Theory

Data Generation

bash scripts/gen_data.sh

It is the same code as in PROSE_V1

Run the code

For test runs (MONet and MNO):

bash scripts/experiments.sh

Check main.ipynb for a simple starting point.

Citation

If you find this code useful, please consider citing:

@article{weihs2025deep,
  title={A Deep Learning Framework for Multi-Operator Learning: Architectures and Approximation Theory},
  author={Weihs, Adrien and Sun, Jingmin and Zhang, Zecheng and Schaeffer, Hayden},
  journal={arXiv preprint arXiv:2510.25379},
  year={2025}
}

About

MNO: Multiple Nonlinear Operator (Network)

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages