Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao. Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]
@inproceedings{GaoHLG23,
title = {Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models},
author = {Tianxiang Gao and Xiaokai Huo and Hailiang Liu and Hongyang Gao},
year = {2023},
url = {http://papers.nips.cc/paper_files/paper/2023/hash/ac24656b0b5f543b202f748d62041637-Abstract-Conference.html},
researchr = {https://researchr.org/publication/GaoHLG23},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}