On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks

Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi. On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019. OpenReview.net, 2019. [doi]

@inproceedings{DingLXS19,
  title = {On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks},
  author = {Yukun Ding and Jinglan Liu and Jinjun Xiong and Yiyu Shi},
  year = {2019},
  url = {https://openreview.net/forum?id=SJe9rh0cFX},
  researchr = {https://researchr.org/publication/DingLXS19},
  cites = {0},
  citedby = {0},
  booktitle = {7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019},
  publisher = {OpenReview.net},
}