Learning convolution filters for inverse covariance estimation of neural network connectivity

George Mohler. Learning convolution filters for inverse covariance estimation of neural network connectivity. In Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger, editors, Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada. pages 891-899, 2014. [doi]

@inproceedings{Mohler14,
  title = {Learning convolution filters for inverse covariance estimation of neural network connectivity},
  author = {George Mohler},
  year = {2014},
  url = {http://papers.nips.cc/paper/5626-learning-convolution-filters-for-inverse-covariance-estimation-of-neural-network-connectivity},
  researchr = {https://researchr.org/publication/Mohler14},
  cites = {0},
  citedby = {0},
  pages = {891-899},
  booktitle = {Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada},
  editor = {Zoubin Ghahramani and Max Welling and Corinna Cortes and Neil D. Lawrence and Kilian Q. Weinberger},
}