Cover Image

From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sarabia, Rafael Pablos, Nyborg, Joachim, Birk, Morten, Assent, Ira
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours
by: Sarabia, Rafael Pablos, et al.
Published: (2025)

Multi-Source Temporal Attention Network for Precipitation Nowcasting
by: Sarabia, Rafael Pablos, et al.
Published: (2024)

CFIRSTNET: Comprehensive Features for Static IR Drop Estimation with Neural Network
by: Liu, Yu-Tung, et al.
Published: (2025)

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks
by: Michail, Dimitrios, et al.
Published: (2024)

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains
by: Dannecker, Maik, et al.
Published: (2024)

Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
by: Lee, Junha, et al.
Published: (2024)

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2024)

Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
by: Liu, Zesheng, et al.
Published: (2024)

K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data
by: Liu, Zesheng, et al.
Published: (2026)

Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?
by: Tran, Viet-Hung, et al.
Published: (2024)

Spatio-Temporal Transformers for Long-Term NDVI Forecasting
by: Faran, Ido, et al.
Published: (2026)

Spatio-Temporal LLM: Reasoning about Environments and Actions
by: Zheng, Haozhen, et al.
Published: (2025)

CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain
by: Dannecker, Maik, et al.
Published: (2025)

Context-Aware Multimodal Representation Learning for Spatio-Temporally Explicit Environmental Modelling
by: Peters, Julia, et al.
Published: (2025)

Spatio-Temporal Branching for Motion Prediction using Motion Increments
by: Wang, Jiexin, et al.
Published: (2023)

PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines
by: Wang, ZiDong, et al.
Published: (2024)

STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes
by: Yang, Jiawei, et al.
Published: (2024)

Conditional Uncertainty-Aware Political Deepfake Detection with Stochastic Convolutional Neural Networks
by: Gardoş, Rafael-Petruţ
Published: (2026)

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
by: Wang, Siqi, et al.
Published: (2025)

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction
by: Wang, Jiexin, et al.
Published: (2024)

STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment
by: Lee, Jaewoo, et al.
Published: (2023)

How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
by: Chang, Pascal, et al.
Published: (2025)

Uncertainty-Aware Test-Time Adaptation for Cross-Region Spatio-Temporal Fusion of Land Surface Temperature
by: Bouaziz, Sofiane, et al.
Published: (2026)

ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2025)

BiDepth: A Bidirectional-Depth Neural Network for Spatio-Temporal Prediction
by: Ehsani, Sina, et al.
Published: (2025)

Temporal-Spatial Processing of Event Camera Data via Delay-Loop Reservoir Neural Network
by: Lau, Richard, et al.
Published: (2024)

Towards Gradient-based Time-Series Explanations through a SpatioTemporal Attention Network
by: Lee, Min Hun
Published: (2024)

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
by: Qiu, Haiyi, et al.
Published: (2024)

Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localization
by: Wang, Tianyu, et al.
Published: (2026)

Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
by: Lee, Kyung-hwan, et al.
Published: (2025)

DropCluster: A structured dropout for convolutional networks
by: Chen, Liyan, et al.
Published: (2020)

A Deep Learning Approach for Spatio-Temporal Forecasting of InSAR Ground Deformation in Eastern Ireland
by: Yao, Wendong, et al.
Published: (2025)

SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
by: Feeney, Patrick, et al.
Published: (2023)

Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-temporal Masked Transformers
by: Davoodnia, Vandad, et al.
Published: (2023)

Resolving Spatio-Temporal Entanglement in Video Prediction via Multi-Modal Attention
by: Gupta, Shreyam, et al.
Published: (2025)

From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs
by: Wu, Boyong, et al.
Published: (2026)

Temporally-Aware Diffusion Model for Brain Progression Modelling with Bidirectional Temporal Regularisation
by: Litrico, Mattia, et al.
Published: (2025)

Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
by: Zhang, Hongyuan, et al.
Published: (2024)

Interacted Object Grounding in Spatio-Temporal Human-Object Interactions
by: Liu, Xiaoyang, et al.
Published: (2024)

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