Do Echo Top Heights Improve Deep Learning Nowcasts?
Fuente:
arXiv
Saved in:
| Main Authors: | Pavlík, Peter, Schleiss, Marc, Ezzeddine, Anna Bou, Rozinajová, Viera |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Assessing the Utility of Volumetric Motion Fields for Radar-based Precipitation Nowcasting with Physics-informed Deep Learning
by: Pavlík, Peter, et al.
Published: (2026)
by: Pavlík, Peter, et al.
Published: (2026)
Fully Differentiable Lagrangian Convolutional Neural Network for Physics-Informed Precipitation Nowcasting
by: Pavlík, Peter, et al.
Published: (2024)
by: Pavlík, Peter, et al.
Published: (2024)
Multi-Source Temporal Attention Network for Precipitation Nowcasting
by: Sarabia, Rafael Pablos, et al.
Published: (2024)
by: Sarabia, Rafael Pablos, et al.
Published: (2024)
Extreme Weather Nowcasting via Local Precipitation Pattern Prediction
by: Song, Changhoon, et al.
Published: (2026)
by: Song, Changhoon, et al.
Published: (2026)
SimCast: Enhancing Precipitation Nowcasting with Short-to-Long Term Knowledge Distillation
by: Yin, Yifang, et al.
Published: (2025)
by: Yin, Yifang, et al.
Published: (2025)
Understanding the Double Descent Phenomenon in Deep Learning
by: Lafon, Marc, et al.
Published: (2024)
by: Lafon, Marc, et al.
Published: (2024)
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners
by: Li, Chengzu, et al.
Published: (2024)
by: Li, Chengzu, et al.
Published: (2024)
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern Forests
by: Castro, Jose B., et al.
Published: (2024)
by: Castro, Jose B., et al.
Published: (2024)
TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis
by: Fatema, Saba, et al.
Published: (2024)
by: Fatema, Saba, et al.
Published: (2024)
Deep Learning for Remote Sensing to Improve Flood Inundation Mapping
by: Bhattarai, Yogesh, et al.
Published: (2026)
by: Bhattarai, Yogesh, et al.
Published: (2026)
LangPrecip: Language-Aware Multimodal Precipitation Nowcasting
by: Ling, Xudong, et al.
Published: (2025)
by: Ling, Xudong, et al.
Published: (2025)
Precipitation Nowcasting Using Diffusion Transformer with Causal Attention
by: Li, ChaoRong, et al.
Published: (2024)
by: Li, ChaoRong, et al.
Published: (2024)
M3R: Localized Rainfall Nowcasting with Meteorology-Informed MultiModal Attention
by: Panta, Sanjeev, et al.
Published: (2026)
by: Panta, Sanjeev, et al.
Published: (2026)
Axial-UNet: A Neural Weather Model for Precipitation Nowcasting
by: Mamtani, Sumit, et al.
Published: (2025)
by: Mamtani, Sumit, et al.
Published: (2025)
STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting
by: Foo, Shi Quan, et al.
Published: (2025)
by: Foo, Shi Quan, et al.
Published: (2025)
TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery
by: Glazer, Tammy, et al.
Published: (2025)
by: Glazer, Tammy, et al.
Published: (2025)
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training
by: Wang, Zihao, et al.
Published: (2024)
by: Wang, Zihao, et al.
Published: (2024)
Estimating Canopy Height at Scale
by: Pauls, Jan, et al.
Published: (2024)
by: Pauls, Jan, et al.
Published: (2024)
SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
by: Zhang, Jintao, et al.
Published: (2026)
by: Zhang, Jintao, et al.
Published: (2026)
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion
by: Zhai, Guangyao, et al.
Published: (2024)
by: Zhai, Guangyao, et al.
Published: (2024)
CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector
by: Kumar, Abhinav, et al.
Published: (2025)
by: Kumar, Abhinav, et al.
Published: (2025)
PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall Nowcasting
by: Xiao, Xinyu, et al.
Published: (2026)
by: Xiao, Xinyu, et al.
Published: (2026)
Unified Deep Learning Model for Global Prediction of Aboveground Biomass, Canopy Height and Cover from High-Resolution, Multi-Sensor Satellite Imagery
by: Weber, Manuel, et al.
Published: (2024)
by: Weber, Manuel, et al.
Published: (2024)
Knowledge-Guided Machine Learning: Illustrating the use of Explainable Boosting Machines to Identify Overshooting Tops in Satellite Imagery
by: Mitchell, Nathan, et al.
Published: (2025)
by: Mitchell, Nathan, et al.
Published: (2025)
CrossFuse: Learning Infrared and Visible Image Fusion by Cross-Sensor Top-K Vision Alignment and Beyond
by: Shi, Yukai, et al.
Published: (2025)
by: Shi, Yukai, et al.
Published: (2025)
Bootstrapping Top-down Information for Self-modulating Slot Attention
by: Kim, Dongwon, et al.
Published: (2024)
by: Kim, Dongwon, et al.
Published: (2024)
EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation
by: Vukadinovic, Milos, et al.
Published: (2024)
by: Vukadinovic, Milos, et al.
Published: (2024)
PixelFlowCast: Latent-Free Precipitation Nowcasting via Pixel Mean Flows
by: Zhu, Yufeng, et al.
Published: (2026)
by: Zhu, Yufeng, et al.
Published: (2026)
VibrantSR: Sub-Meter Canopy Height Models from Sentinel-2 Using Generative Flow Matching
by: Ndegwa, Kiarie, et al.
Published: (2026)
by: Ndegwa, Kiarie, et al.
Published: (2026)
Beyond Top Activations: Efficient and Reliable Crowdsourced Evaluation of Automated Interpretability
by: Oikarinen, Tuomas, et al.
Published: (2025)
by: Oikarinen, Tuomas, et al.
Published: (2025)
SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders
by: Stępień, Jakub, et al.
Published: (2026)
by: Stępień, Jakub, et al.
Published: (2026)
Improved Object-Based Style Transfer with Single Deep Network
by: Kulkarni, Harshmohan, et al.
Published: (2024)
by: Kulkarni, Harshmohan, et al.
Published: (2024)
EchoAgent: Guideline-Centric Reasoning Agent for Echocardiography Measurement and Interpretation
by: Daghyani, Matin, et al.
Published: (2025)
by: Daghyani, Matin, et al.
Published: (2025)
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis
by: Maani, Fadillah Adamsyah, et al.
Published: (2024)
by: Maani, Fadillah Adamsyah, et al.
Published: (2024)
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
by: Yan, Chiu-Wai, et al.
Published: (2024)
by: Yan, Chiu-Wai, et al.
Published: (2024)
Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights
by: Wen, Qishuai, et al.
Published: (2026)
by: Wen, Qishuai, et al.
Published: (2026)
Improving Deep Generative Models on Many-To-One Image-to-Image Translation
by: Saxena, Sagar, et al.
Published: (2024)
by: Saxena, Sagar, et al.
Published: (2024)
ECHOSAT: Estimating Canopy Height Over Space And Time
by: Pauls, Jan, et al.
Published: (2026)
by: Pauls, Jan, et al.
Published: (2026)
Do Your Best and Get Enough Rest for Continual Learning
by: Kang, Hankyul, et al.
Published: (2025)
by: Kang, Hankyul, et al.
Published: (2025)
Do Pre-trained Models Benefit Equally in Continual Learning?
by: Lee, Kuan-Ying, et al.
Published: (2022)
by: Lee, Kuan-Ying, et al.
Published: (2022)
Similar Items
-
Assessing the Utility of Volumetric Motion Fields for Radar-based Precipitation Nowcasting with Physics-informed Deep Learning
by: Pavlík, Peter, et al.
Published: (2026) -
Fully Differentiable Lagrangian Convolutional Neural Network for Physics-Informed Precipitation Nowcasting
by: Pavlík, Peter, et al.
Published: (2024) -
Multi-Source Temporal Attention Network for Precipitation Nowcasting
by: Sarabia, Rafael Pablos, et al.
Published: (2024) -
Extreme Weather Nowcasting via Local Precipitation Pattern Prediction
by: Song, Changhoon, et al.
Published: (2026) -
SimCast: Enhancing Precipitation Nowcasting with Short-to-Long Term Knowledge Distillation
by: Yin, Yifang, et al.
Published: (2025)