conftrace_

climate modeling

13 papers

Explore in graph

Co-occurring keywords · papers mentioning both

spatio-temporal data (2) precipitation downscaling (2) statistical downscaling (2) weather forecasting (2) partial differential equation (2) diffusion model (2) weather prediction (2) fourier transform (2) ensemble learning (2) numerical weather prediction (1)

Papers

CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer ICLR 2025 Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction IJCAI 2025 FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling ICCV 2025 Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling JMLR 2024 Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling ICML 2024 Precipitation Downscaling with Spatiotemporal Video Diffusion NeurIPS 2024 Probablistic Emulation of a Global Climate Model with Spherical DYffusion NeurIPS 2024 Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation AAAI 2024 ClimaX: A foundation model for weather and climate ICML 2023 Embedding a Long Short-Term Memory Network in a Constraint Programming Framework for Tomato Greenhouse Optimisation AAAI 2023 Earthformer: Exploring Space-Time Transformers for Earth System Forecasting NeurIPS 2022 Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling PGM 2022 MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling IJCAI 2018