Improving seasonal forecast using probabilistic deep learning

27 October 2020

Papers citing "Improving seasonal forecast using probabilistic deep learning"

4 / 4 papers shown

Title
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers Lluís Palma Alejandro Peraza David Civantos Amanda Duarte Stefano Materia Ángel G. Muñoz Jesús Peña Laia Romero Albert Soret Markus G. Donat AI4TS 55 0 0 26 Mar 2025
Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media Aleksei G. Sorokin Aleksandra Pachalieva Daniel O’Malley James M. Hyman F. J. Hickernell N. W. Hengartner 24 1 0 20 Oct 2023
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
Differentiable modeling to unify machine learning and physical models and advance Geosciences Chaopeng Shen A. Appling Pierre Gentine Toshiyuki Bandai H. Gupta ... Chris Rackauckas Tirthankar Roy Chonggang Xu Binayak Mohanty K. Lawson AI4CE 42 14 0 10 Jan 2023