SchNet: A continuous-filter convolutional neural network for modeling quantum interactions

Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, Klaus-Robert Müller. SchNet: A continuous-filter convolutional neural network for modeling quantum interactions. In Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett, editors, Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA. pages 992-1002, 2017. [doi]

@inproceedings{SchuttKFCTM17,
  title = {SchNet: A continuous-filter convolutional neural network for modeling quantum interactions},
  author = {Kristof Schütt and Pieter-Jan Kindermans and Huziel Enoc Sauceda Felix and Stefan Chmiela and Alexandre Tkatchenko and Klaus-Robert Müller},
  year = {2017},
  url = {http://papers.nips.cc/paper/6700-schnet-a-continuous-filter-convolutional-neural-network-for-modeling-quantum-interactions},
  researchr = {https://researchr.org/publication/SchuttKFCTM17},
  cites = {0},
  citedby = {0},
  pages = {992-1002},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA},
  editor = {Isabelle Guyon and Ulrike von Luxburg and Samy Bengio and Hanna M. Wallach and Rob Fergus and S. V. N. Vishwanathan and Roman Garnett},
}