Citation

The following publications discuss the ideas behind ∇-Prox:

∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization
Zeqiang Lai, Kaixuan Wei, Ying Fu, Philipp Härtel, and Felix Heide.
ACM Transactions on Graphics, SIGGRAPH, 2023.

ProxImaL: Efficient Image Optimization Using Proximal Algorithms
F. Heide, S. Diamond, M. Niessner, J. Ragan-Kelley, W. Heidrich, and G. Wetzstein.
ACM Transactions on Graphics, SIGGRAPH, 2016.

@article{deltaprox2023,
  title = {∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization},
  author = {Lai, Zeqiang and Wei, Kaixuan and Fu, Ying and H\"{a}rtel, Philipp and Heide, Felix},
  journal={ACM Transactions on Graphics (TOG)},
  volume = {42},
  number = {4},
  articleno = {105},
  pages = {1--19},
  year={2023},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  doi = {10.1145/3592144},
}

@article{heide2016proximal,
  title={Proximal: Efficient image optimization using proximal algorithms},
  author={Heide, Felix and Diamond, Steven and Nie{\ss}ner, Matthias and Ragan-Kelley, Jonathan and Heidrich, Wolfgang and Wetzstein, Gordon},
  journal={ACM Transactions on Graphics (TOG)},
  volume={35},
  number={4},
  pages={1--15},
  year={2016},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  doi={10.1145/2897824.2925875},
}