Cover Image

From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Wentao, Li, Jiuyong, Liu, Lin, Le, Thuc Duy, Chen, Xiongren, Du, Xiaojing, Liu, Jixue, Zhao, Yanchang, Chen, Yun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
by: Gao, Wentao, et al.
Published: (2024)

TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
by: Gao, Wentao, et al.
Published: (2024)

Identifying the Group to Intervene on to Maximise Effect Under Cross-Group Interference
by: Du, Xiaojing, et al.
Published: (2026)

Estimating Peer Direct and Indirect Effects in Observational Network Data
by: Du, Xiaojing, et al.
Published: (2024)

Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks
by: Du, Xiaojing, et al.
Published: (2024)

Dependency-based Anomaly Detection: a General Framework and Comprehensive Evaluation
by: Lu, Sha, et al.
Published: (2020)

Disentangled Representation Learning for Causal Inference with Instruments
by: Cheng, Debo, et al.
Published: (2024)

uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN
by: Lu, Sha, et al.
Published: (2026)

Linking Model Intervention to Causal Interpretation in Model Explanation
by: Cheng, Debo, et al.
Published: (2024)

Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders
by: Du, Xiaojing, et al.
Published: (2025)

Deconfounded Time Series Forecasting: A Causal Inference Approach
by: Gao, Wentao, et al.
Published: (2024)

From Correlation to Causation: Max-Pooling-Based Multi-Instance Learning Leads to More Robust Whole Slide Image Classification
by: Liu, Xin, et al.
Published: (2024)

A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery
by: Liu, Jixue, et al.
Published: (2024)

Mitigating Dual Latent Confounding Biases in Recommender Systems
by: Deng, Jianfeng, et al.
Published: (2024)

Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
by: Deho, Oscar Blessed, et al.
Published: (2024)

Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data
by: Cheng, Debo, et al.
Published: (2024)

Zero-Inflated Bandits
by: Wei, Haoyu, et al.
Published: (2023)

Use ADAS Data to Predict Near-Miss Events: A Group-Based Zero-Inflated Poisson Approach
by: Zhang, Xinbo, et al.
Published: (2025)

Hybrid Machine Learning Approach to Zero-Inflated Data Improves Accuracy of Dengue Prediction.
by: Francisco, Micanaldo Ernesto, et al.
Published: (2024)

Activation of Inner-Shell 4p-Orbital Electrons of Rubidium Driven by Asymmetric Coordination at High Pressure
by: Ma, Shuran, et al.
Published: (2026)

Score Tests for Overdispersion in Marginalized Zero‐Inflated Poisson Regression Based on Marginalized Zero‐Inflated Generalized Poisson Model
by: Yuhe Wang, et al.
Published: (2025)

Fabrication of Si 3 N 4 ceramics substrates with high thermal conductivity by tape casting and gas pressure sintering
by: Jixue Zhao, et al.
Published: (2024)

Learning Fair Graph Representations with Multi-view Information Bottleneck
by: Liu, Chuxun, et al.
Published: (2025)

A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
by: Bai, Songran, et al.
Published: (2025)

Data‐Driven Approach Using a Hybrid Model for Predicting Oxygen Consumption in Argon Oxygen Decarburization Converter
by: Li Mingming, et al.
Published: (2024)

Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation
by: Huang, Yuhang, et al.
Published: (2023)

Quantifying Distributional Input Uncertainty via Inflated Kolmogorov-Smirnov Confidence Band
by: Chen, Motong, et al.
Published: (2024)

LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
by: Liu, Yiqi, et al.
Published: (2023)

A Two-Step Test to Identify Zero-Inflated Biomarkers in Early-Phase Clinical Trials
by: Xi, Nan Miles, et al.
Published: (2025)

A Zero-Inflated Poisson Latent Position Cluster Model
by: Lu, Chaoyi, et al.
Published: (2025)

A Comparison of Zero-Inflated Models for Modern Biomedical Data
by: Beveridge, Max, et al.
Published: (2024)

Bayes Factor of Zero Inflated Models under Jeffereys Prior
by: Pramanik, Paramahansa, et al.
Published: (2024)

Structure Learning for Directed Trees with Zero-Inflated Compositional Nodes
by: Zhang, Shuangjie, et al.
Published: (2026)

A Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell RNA-Seq Data
by: Ahn, Seungjun, et al.
Published: (2025)

Data‐Driven Modeling and High‐Precision Tracking Control of a Soft Continuum Manipulator: Enabling Robotic Sorting of Multiwire Cables
by: Yuan Gao, et al.
Published: (2024)

Zero-Inflated Autoregressive Conditional Duration Model for Discrete Trade Durations with Excessive Zeros
by: Blasques, Francisco, et al.
Published: (2018)

Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking
by: Anh, Duy Le Dinh, et al.
Published: (2024)

Spin evolution modeling for a newly-formed white dwarf resulting from binary white dwarf merger
by: Cheng, Yanchang, et al.
Published: (2025)

SimuAgent: An LLM-Based Simulink Modeling Assistant Enhanced with Reinforcement Learning
by: Liang, Yanchang, et al.
Published: (2026)