From b199b45fbd895e254cedfb0d3572661f32bf1cff Mon Sep 17 00:00:00 2001 From: Tung Nguyen Date: Mon, 31 Jul 2023 16:15:30 -0700 Subject: [PATCH] include arxiv paper and upadte citation guide (#113) Co-authored-by: tungnd --- README.md | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 3c7c32f..464375a 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,7 @@ [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![Google Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1LcecQLgLtwaHOwbvJAxw9UjCxfM0RMrX?usp=sharing) -**ClimateLearn** is a Python library for accessing state-of-the-art climate data and machine learning models in a standardized, straightforward way. This library provides access to multiple datasets, a zoo of baseline approaches, and a suite of metrics and visualizations for large-scale benchmarking of statistical downscaling and temporal forecasting methods. For further context on our past motivation and future plans, check out our announcement [blog post](https://aditya-grover.github.io/blog/2023/climate-learn/). +**ClimateLearn** is a Python library for accessing state-of-the-art climate data and machine learning models in a standardized, straightforward way. This library provides access to multiple datasets, a zoo of baseline approaches, and a suite of metrics and visualizations for large-scale benchmarking of statistical downscaling and temporal forecasting methods. For further context on our past motivation and future plans, check out our announcement [blog post](https://aditya-grover.github.io/blog/2023/climate-learn/). Also, check out our [arxiv preprint](https://arxiv.org/abs/2307.01909) that showcases the flexibility of ClimateLearn in performing benchmarking and analysis on the robustness and transfer performance of deep learning models. ## Usage @@ -30,4 +30,13 @@ ClimateLearn is managed by the Machine Intelligence Group at UCLA, headed by [Pr Contributions are welcome! See our [contributing guide](https://github.com/aditya-grover/climate-learn/blob/main/CONTRIBUTING.md). ## Citing ClimateLearn -If you use ClimateLearn, please see the [`CITATION.cff`](https://github.com/aditya-grover/climate-learn/blob/main/CITATION.cff) file or use the citation prompt provided by GitHub in the sidebar. + +If you use ClimateLearn in your research, please cite our paper: +``` +@article{nguyen2023climatelearn, + title={ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling}, + author={Nguyen, Tung and Jewik, Jason and Bansal, Hritik and Sharma, Prakhar and Grover, Aditya}, + journal={arXiv preprint arXiv:2307.01909}, + year={2023} +} +``` \ No newline at end of file