Guardado en:
| Autores principales: | Essafouri, Younes, Raynaud, Laure, Drozda, Luciano, Risser, Laurent |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2604.22580 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Swift: An Autoregressive Consistency Model for Efficient Weather Forecasting
por: Stock, Jason, et al.
Publicado: (2025)
por: Stock, Jason, et al.
Publicado: (2025)
Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
por: Luo, Hengrui, et al.
Publicado: (2026)
por: Luo, Hengrui, et al.
Publicado: (2026)
Introduction to Machine Learning
por: Younes, Laurent
Publicado: (2024)
por: Younes, Laurent
Publicado: (2024)
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
por: Mahesh, Ankur, et al.
Publicado: (2024)
por: Mahesh, Ankur, et al.
Publicado: (2024)
A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification
por: Yousef, Younes, et al.
Publicado: (2025)
por: Yousef, Younes, et al.
Publicado: (2025)
Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone
por: Shilova, Veronika, et al.
Publicado: (2025)
por: Shilova, Veronika, et al.
Publicado: (2025)
Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
por: Luo, Yingtao, et al.
Publicado: (2025)
por: Luo, Yingtao, et al.
Publicado: (2025)
Adversarial Attacks on Downstream Weather Forecasting Models: Application to Tropical Cyclone Trajectory Prediction
por: Deng, Yue, et al.
Publicado: (2025)
por: Deng, Yue, et al.
Publicado: (2025)
TaCo: Targeted Concept Erasure Prevents Non-Linear Classifiers From Detecting Protected Attributes
por: Jourdan, Fanny, et al.
Publicado: (2023)
por: Jourdan, Fanny, et al.
Publicado: (2023)
Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models
por: Arif, Huzaifa, et al.
Publicado: (2025)
por: Arif, Huzaifa, et al.
Publicado: (2025)
Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity Recognition
por: Tempel, Felix, et al.
Publicado: (2024)
por: Tempel, Felix, et al.
Publicado: (2024)
Comparative Evaluation of Weather Forecasting using Machine Learning Models
por: Rahman, Md Saydur, et al.
Publicado: (2024)
por: Rahman, Md Saydur, et al.
Publicado: (2024)
Physics-informed Variational Autoencoders for Improved Robustness to Environmental Factors of Variation
por: Thoreau, Romain, et al.
Publicado: (2022)
por: Thoreau, Romain, et al.
Publicado: (2022)
RADIN: Souping on a Budget
por: Menes, Thibaut, et al.
Publicado: (2024)
por: Menes, Thibaut, et al.
Publicado: (2024)
Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics
por: Zhang, Wenqing, et al.
Publicado: (2024)
por: Zhang, Wenqing, et al.
Publicado: (2024)
GradNetOT: Learning Optimal Transport Maps with GradNets
por: Chaudhari, Shreyas, et al.
Publicado: (2025)
por: Chaudhari, Shreyas, et al.
Publicado: (2025)
Two-Stage Photovoltaic Forecasting: Separating Weather Prediction from Plant-Characteristics
por: Danner, Philipp, et al.
Publicado: (2026)
por: Danner, Philipp, et al.
Publicado: (2026)
El Nino Prediction Based on Weather Forecast and Geographical Time-series Data
por: Trinh, Viet, et al.
Publicado: (2026)
por: Trinh, Viet, et al.
Publicado: (2026)
Weather Prediction with Diffusion Guided by Realistic Forecast Processes
por: Hua, Zhanxiang, et al.
Publicado: (2024)
por: Hua, Zhanxiang, et al.
Publicado: (2024)
ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
por: Xu, Wanghan, et al.
Publicado: (2024)
por: Xu, Wanghan, et al.
Publicado: (2024)
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency
por: Huang, Jun, et al.
Publicado: (2024)
por: Huang, Jun, et al.
Publicado: (2024)
Efficient Subseasonal Weather Forecast using Teleconnection-informed Transformers
por: Zhao, Shan, et al.
Publicado: (2024)
por: Zhao, Shan, et al.
Publicado: (2024)
Adversarial Observations in Weather Forecasting
por: Imgrund, Erik, et al.
Publicado: (2025)
por: Imgrund, Erik, et al.
Publicado: (2025)
Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks
por: Lafargue, Valentin, et al.
Publicado: (2025)
por: Lafargue, Valentin, et al.
Publicado: (2025)
YanTian: An Application Platform for AI Global Weather Forecasting Models
por: Cheng, Wencong, et al.
Publicado: (2024)
por: Cheng, Wencong, et al.
Publicado: (2024)
Feature to Dynamics: Feature-space to Autoregression strategy for Zero-shot Time Series Forecasting
por: Wu, Yifan, et al.
Publicado: (2026)
por: Wu, Yifan, et al.
Publicado: (2026)
Faithful and Interpretable Explanations for Complex Ensemble Time Series Forecasts using Surrogate Models and Forecastability Analysis
por: Zhao, Yikai, et al.
Publicado: (2025)
por: Zhao, Yikai, et al.
Publicado: (2025)
Probabilistic Forecasting via Autoregressive Flow Matching
por: ElGazzar, Ahmed, et al.
Publicado: (2025)
por: ElGazzar, Ahmed, et al.
Publicado: (2025)
Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow
por: Zheng, Bowen, et al.
Publicado: (2026)
por: Zheng, Bowen, et al.
Publicado: (2026)
Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems
por: Saidi, Tristan Luca, et al.
Publicado: (2026)
por: Saidi, Tristan Luca, et al.
Publicado: (2026)
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes
por: Noack, Marcus M., et al.
Publicado: (2023)
por: Noack, Marcus M., et al.
Publicado: (2023)
Towards Scalable One-Step Generative Modeling for Autoregressive Dynamical System Forecasting
por: Yang, Tianyue, et al.
Publicado: (2026)
por: Yang, Tianyue, et al.
Publicado: (2026)
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
por: Liu, Peiyuan, et al.
Publicado: (2024)
por: Liu, Peiyuan, et al.
Publicado: (2024)
DiffGrad for Physics-Informed Neural Networks
por: Rahman, Jamshaid Ul, et al.
Publicado: (2024)
por: Rahman, Jamshaid Ul, et al.
Publicado: (2024)
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
por: Hua, Zhanxiang, et al.
Publicado: (2025)
por: Hua, Zhanxiang, et al.
Publicado: (2025)
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
por: Lu, Jiecheng, et al.
Publicado: (2025)
por: Lu, Jiecheng, et al.
Publicado: (2025)
GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
por: Sanderson, Jacob, et al.
Publicado: (2026)
por: Sanderson, Jacob, et al.
Publicado: (2026)
GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient
por: Zhang, Yuang, et al.
Publicado: (2024)
por: Zhang, Yuang, et al.
Publicado: (2024)
FlowCast-ODE: Continuous Hourly Weather Forecasting with Dynamic Flow Matching and ODE Solver
por: He, Shuangshuang, et al.
Publicado: (2025)
por: He, Shuangshuang, et al.
Publicado: (2025)
CNN-based Surface Temperature Forecasts with Ensemble Numerical Weather Prediction
por: Inoue, Takuya, et al.
Publicado: (2025)
por: Inoue, Takuya, et al.
Publicado: (2025)
Ejemplares similares
-
Swift: An Autoregressive Consistency Model for Efficient Weather Forecasting
por: Stock, Jason, et al.
Publicado: (2025) -
Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty
por: Luo, Hengrui, et al.
Publicado: (2026) -
Introduction to Machine Learning
por: Younes, Laurent
Publicado: (2024) -
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
por: Mahesh, Ankur, et al.
Publicado: (2024) -
A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification
por: Yousef, Younes, et al.
Publicado: (2025)