:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	van Wonderen, Samuel, Mehrkanoon, Siamak
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.04461
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting
by: Reulen, Eloy, et al.
Published: (2024)

Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet
by: Shi, Jie, et al.
Published: (2025)

SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcasting
by: Stavrou, Nikolas, et al.
Published: (2026)

Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression
by: van Nieuwkoop, Gijs, et al.
Published: (2026)

A Diffusion-Contrastive Graph Neural Network with Virtual Nodes for Wind Nowcasting in Unobserved Regions
by: Shi, Jie, et al.
Published: (2026)

SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling
by: Turzi, Marco, et al.
Published: (2025)

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting
by: Li, Haotian, et al.
Published: (2024)

Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting
by: Vatamany, Lorand, et al.
Published: (2024)

EEG-MFTNet: An Enhanced EEGNet Architecture with Multi-Scale Temporal Convolutions and Transformer Fusion for Cross-Session Motor Imagery Decoding
by: Andrikopoulos, Panagiotis, et al.
Published: (2026)

PIANO: Physics-informed Dual Neural Operator for Precipitation Nowcasting
by: Chin, Seokhyun, et al.
Published: (2025)

LangPrecip: Language-Aware Multimodal Precipitation Nowcasting
by: Ling, Xudong, et al.
Published: (2025)

Stable Attention Response for Reliable Precipitation Nowcasting
by: Wen, Penghui, et al.
Published: (2026)

McCast: Memory-Guided Latent Drift Correction for Long-Horizon Precipitation Nowcasting
by: Wen, Penghui, et al.
Published: (2026)

How Effective Are Time-Series Models for Precipitation Nowcasting? A Comprehensive Benchmark for GNSS-based Precipitation Nowcasting
by: Zhang, Yifang, et al.
Published: (2025)

Precipitation Nowcasting Using Physics Informed Discriminator Generative Models
by: Yin, Junzhe, et al.
Published: (2024)

Extreme Precipitation Nowcasting using Transformer-based Generative Models
by: Meo, Cristian, et al.
Published: (2024)

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
by: Gong, Junchao, et al.
Published: (2024)

MeTok: An Efficient Meteorological Tokenization with Hyper-Aligned Group Learning for Precipitation Nowcasting
by: Jin, Qizhao, et al.
Published: (2026)

Fully Differentiable Lagrangian Convolutional Neural Network for Physics-Informed Precipitation Nowcasting
by: Pavlík, Peter, et al.
Published: (2024)

Precipitation Nowcasting Using Diffusion Transformer with Causal Attention
by: Li, ChaoRong, et al.
Published: (2024)

Extending Precipitation Nowcasting Horizons via Spectral Fusion of Radar Observations and Foundation Model Priors
by: Qin, Yuze, et al.
Published: (2026)

FusionCast: Enhancing Precipitation Nowcasting with Asymmetric Cross-Modal Fusion and Future Radar Priors
by: Wang, Henan, et al.
Published: (2026)

STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting
by: Foo, Shi Quan, et al.
Published: (2025)

RainBalance: Alleviating Dual Imbalance in GNSS-based Precipitation Nowcasting via Continuous Probability Modeling
by: Zhang, Yifang, et al.
Published: (2026)

DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America
by: Seal, Daniel, et al.
Published: (2024)

Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding
by: Goene, Lucas, et al.
Published: (2024)

Accelerating Training with Neuron Interaction and Nowcasting Networks
by: Knyazev, Boris, et al.
Published: (2024)

MaGNet: A Mamba Dual-Hypergraph Network for Stock Prediction via Temporal-Causal and Global Relational Learning
by: Tan, Peilin, et al.
Published: (2025)

PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall Nowcasting
by: Xiao, Xinyu, et al.
Published: (2026)

Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP
by: Lim, Seonkyu, et al.
Published: (2024)

Scaling Laws and Symmetry, Evidence from Neural Force Fields
by: Ngo, Khang, et al.
Published: (2025)

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning
by: Brahman, Faeze, et al.
Published: (2023)

Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
by: Yan, Chiu-Wai, et al.
Published: (2024)

Assessing the Utility of Volumetric Motion Fields for Radar-based Precipitation Nowcasting with Physics-informed Deep Learning
by: Pavlík, Peter, et al.
Published: (2026)

HOTA: Hamiltonian framework for Optimal Transport Advection
by: Buzun, Nazar, et al.
Published: (2025)

Learning to Reach Goals via Diffusion
by: Jain, Vineet, et al.
Published: (2023)

Data-Efficient Sleep Staging with Synthetic Time Series Pretraining
by: Grieger, Niklas, et al.
Published: (2024)

The Role of Symmetry in Optimizing Overparameterized Networks
by: Sareen, Kusha, et al.
Published: (2026)

MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
by: Tran, Huyen Ngoc, et al.
Published: (2026)

Pretrained Hybrids with MAD Skills
by: Roberts, Nicholas, et al.
Published: (2024)