ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows

11 August 2020

Papers citing "ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows"

9 / 9 papers shown

Title
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows Aditya Grover Christopher Chute Rui Shu Zhangjie Cao Stefano Ermon OOD DRL 22 66 0 30 May 2019
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 222 3,110 0 09 Jul 2018
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 147 9,509 0 31 Mar 2017
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution T. Vandal E. Kodra S. Ganguly A. Michaelis R. Nemani A. Ganguly AI4Cl 35 279 0 09 Mar 2017
Intercomparison of Machine Learning Methods for Statistical Downscaling: The Case of Daily and Extreme Precipitation T. Vandal E. Kodra A. Ganguly AI4Cl 35 146 0 13 Feb 2017
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 300 19,560 0 21 Nov 2016
Sampling Generative Networks Tom White GAN 44 68 0 14 Sep 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 264 4,143 0 21 May 2015
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 130 2,191 0 10 Jun 2014