Image de couverture de livre

DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Hao, Weng, Zixuan, Han, Jindong, Fan, Wei, Liu, Hao
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems
par: Wang, Hao, et autres
Publié: (2025)

Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal
par: Zhang, Weijia, et autres
Publié: (2024)

Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
par: Ni, Hang, et autres
Publié: (2025)

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction
par: Wu, Ziyang, et autres
Publié: (2024)

RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming
par: Wang, Hao, et autres
Publié: (2024)

GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
par: Yang, Zhe-Rui, et autres
Publié: (2024)

FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
par: Chen, Kun, et autres
Publié: (2024)

Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
par: Yang, Zhe-Rui, et autres
Publié: (2024)

Multi-Modal Molecular Representation Learning via Structure Awareness
par: Yin, Rong, et autres
Publié: (2025)

Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
par: Hu, Yuxuan, et autres
Publié: (2025)

Early GVHD Prediction in Liver Transplantation via Multi-Modal Deep Learning on Imbalanced EHR Data
par: Jiang, Yushan, et autres
Publié: (2025)

Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data Processing
par: Liu, Hao
Publié: (2024)

Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning
par: Huang, Zhuoxu, et autres
Publié: (2026)

SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting
par: Weng, Zixuan, et autres
Publié: (2024)

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model
par: Wang, Naibo, et autres
Publié: (2025)

DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling
par: Li, Wenyuan, et autres
Publié: (2024)

ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method
par: Fu, Dongqi, et autres
Publié: (2025)

Behavior Backdoor for Deep Learning Models
par: Wang, Jiakai, et autres
Publié: (2024)

Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning
par: Hammoud, Mohamad Abed El Rahman, et autres
Publié: (2024)

Spectral-inspired Operator Learning with Limited Data and Unknown Physics
par: Wan, Han, et autres
Publié: (2025)

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
par: Miao, Hao, et autres
Publié: (2024)

Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections
par: Chiang, Chia-Hao, et autres
Publié: (2024)

Deep Networks Favor Simple Data
par: Lu, Weyl, et autres
Publié: (2026)

Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
par: Li, Miaomiao, et autres
Publié: (2025)

A General Framework for Learning from Weak Supervision
par: Chen, Hao, et autres
Publié: (2024)

Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
par: Yanggong, Yifan, et autres
Publié: (2024)

Pre-training with Synthetic Data Helps Offline Reinforcement Learning
par: Wang, Zecheng, et autres
Publié: (2023)

Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds
par: Ma, Xiaolong, et autres
Publié: (2025)

Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
par: Yan, Yuchen, et autres
Publié: (2025)

On Catastrophic Inheritance of Large Foundation Models
par: Chen, Hao, et autres
Publié: (2024)

An EnKF-LSTM Assimilation Algorithm for Crop Growth Model
par: Zhou, Siqi, et autres
Publié: (2024)

DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning
par: Hao, Chuzhan, et autres
Publié: (2025)

Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
par: Huang, Jianhao, et autres
Publié: (2025)

Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
par: Zhu, Jing, et autres
Publié: (2024)

Segment-Aligned Policy Optimization for Multi-Modal Reasoning
par: Gao, Lei, et autres
Publié: (2026)

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
par: Liu, Jinyi, et autres
Publié: (2023)

Multi-Modality Collaborative Learning for Sentiment Analysis
par: Wang, Shanmin, et autres
Publié: (2025)

PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics
par: Wan, Han, et autres
Publié: (2025)

Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
par: Liu, Fan, et autres
Publié: (2025)

Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning
par: Bai, Chenjia, et autres
Publié: (2024)