A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems

Adam S. Charles, Pierre Garrigues, Christopher J. Rozell. A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems. Neural Computation, 24(12):3317-3339, 2012. [doi]

@article{CharlesGR12,
  title = {A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems},
  author = {Adam S. Charles and Pierre Garrigues and Christopher J. Rozell},
  year = {2012},
  doi = {10.1162/NECO_a_00372},
  url = {http://dx.doi.org/10.1162/NECO_a_00372},
  researchr = {https://researchr.org/publication/CharlesGR12},
  cites = {0},
  citedby = {0},
  journal = {Neural Computation},
  volume = {24},
  number = {12},
  pages = {3317-3339},
}