A Bayesian Deep Learning Approach to Near-Term Climate Prediction

23 February 2022

Papers citing "A Bayesian Deep Learning Approach to Near-Term Climate Prediction"

8 / 8 papers shown

Title
Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting Guang Zhao Xihaier Luo Seungjun Lee Yihui Ren Shinjae Yoo Luke Van Roekel B. Nadiga S. Narayanan Yixuan Sun Wei Xu AI4CE 50 0 0 27 Mar 2025
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events Ayush Khot Xihaier Luo Ai Kagawa Shinjae Yoo EDL BDL 81 0 0 18 Dec 2024
Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting Busra Asan Abdullah Akgul Alper Unal M. Kandemir Gözde B. Ünal BDL AI4TS 33 0 0 25 Mar 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 40 27 0 01 Feb 2024
Climate Model Driven Seasonal Forecasting Approach with Deep Learning A. Unal Busra Asan I. Sezen B. Yesilkaynak Y. Aydın M. Ilıcak Gözde B. Ünal AI4Cl 21 5 0 21 Feb 2023
Stochastic Parameterization of Column Physics using Generative Adversarial Networks B. Nadiga Xiaoming Sun Cody Nash GAN 11 8 0 30 Nov 2022
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012