Copertina

ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Thapa, Krishu K, Savalkar, Supriya, Singh, Bhupinderjeet, Hoang, Trong Nghia, Rajagopalan, Kirti, Kalyanaraman, Ananth
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Attention-based Models for Snow-Water Equivalent Prediction
di: Thapa, Krishu K., et al.
Pubblicazione: (2023)

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach
di: Gharsallaoui, Mohammed Amine, et al.
Pubblicazione: (2024)

ForeComp: An R Package for Comparing Predictive Accuracy Using Fixed-Smoothing Asymptotics
di: Shin, Minchul, et al.
Pubblicazione: (2026)

Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks
di: Sengupta, Shovon, et al.
Pubblicazione: (2025)

Exploring Causal Mediation Analysis in Bacterial Vaginosis Challenges
di: Nandi, Debarghya, et al.
Pubblicazione: (2025)

Using Boolean Algebra to Minimize the LUT Count for FPGA Implementation of BCD Adders
di: Supriya Aggarwal
Pubblicazione: (2026)

Probabilistic Forecasting of Climate Policy Uncertainty: The Role of Macro-financial Variables and Google Search Data
di: Besher, Donia, et al.
Pubblicazione: (2025)

Assessing Spatial Accuracy of Lightning Forecasts Over India: Supporting Impact‐Based Forecasting for Vulnerable Regions
di: Harvir Singh, et al.
Pubblicazione: (2025)

Effective knowledge representation and utilization for sustainable collaborative learning across heterogeneous systems
di: Trong Nghia Hoang
Pubblicazione: (2024)

MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications
di: Xin, Ning, et al.
Pubblicazione: (2025)

Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction
di: Moradi, Alireza, et al.
Pubblicazione: (2025)

A Time-Scaled ETAS Model for Earthquake Forecasting
di: Das, Agniva, et al.
Pubblicazione: (2025)

Probabilistic Forecasts of Load, Solar and Wind for Electricity Price Forecasting
di: Uniejewski, Bartosz, et al.
Pubblicazione: (2025)

Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approach
di: Pashmchi, Parastoo, et al.
Pubblicazione: (2026)

Equivalence Testing Under Privacy Constraints
di: Pareek, Savita, et al.
Pubblicazione: (2026)

Horizon-Aware Forecasting of Passenger Assistance Demand for Rail Station Workforce Planning
di: Sheehan, Michael, et al.
Pubblicazione: (2026)

Uncertainty-Aware Calibration of a Hot-Wire Anemometer With Gaussian Process Regression
di: García-Ruiz, Rubén Antonio, et al.
Pubblicazione: (2024)

Uncertainty-Aware Sparse Identification of Dynamical Systems via Bayesian Model Averaging
di: Kashiwamura, Shuhei, et al.
Pubblicazione: (2026)

Enhanced Renewable Energy Forecasting and Operations through Probabilistic Forecast Aggregation
di: Moradi, Alireza, et al.
Pubblicazione: (2025)

Enhanced lithium‐ion battery state‐of‐charge estimation for Electric Vehicles using the AOA‐DNN approach
di: Kokilavani Thangaraj, et al.
Pubblicazione: (2024)

Leveraging Synthetic and Genetic Data to Improve Epidemic Forecasting
di: Osthus, Dave, et al.
Pubblicazione: (2026)

Dynamic Attention (DynAttn): Interpretable High-Dimensional Spatio-Temporal Forecasting (with Application to Conflict Fatalities)
di: Iacus, Stefano M., et al.
Pubblicazione: (2025)

Estimating Decision Uncertainty from Preference Uncertainty: Application to Ground Vehicle Design
di: Liu, Chia-Ruei, et al.
Pubblicazione: (2026)

Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting
di: Moradi, Alireza, et al.
Pubblicazione: (2026)

Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
di: Pherwani, Pranay, et al.
Pubblicazione: (2024)

Forecasting Malaria in Indian States: A Time Series Approach with R Shiny Integration
di: Ghosh, Sujit K., et al.
Pubblicazione: (2024)

Earthquake Forecasting with ETAS.inlabru
di: Zhong, Ziwen
Pubblicazione: (2025)

Chimeric Forecasting: Blending Human Judgment and Computational Methods for Improved, Real-time Forecasts of Influenza Hospitalizations
di: McAndrew, Thomas, et al.
Pubblicazione: (2024)

Combining Probabilistic Forecasts of Intermittent Demand
di: Wang, Shengjie, et al.
Pubblicazione: (2023)

Algorithmic Forecasting of Extreme Heat Waves
di: Berk, Richard A., et al.
Pubblicazione: (2024)

Forecasting Soccer Matches through Distributions
di: Mendes-Neves, Tiago, et al.
Pubblicazione: (2025)

Uncertainty Quantification in CT pulmonary angiography
di: Rambojun, Adwaye M, et al.
Pubblicazione: (2023)

Data Space Inversion for Efficient Predictions and Uncertainty Quantification for Geothermal Models
di: de Beer, Alex, et al.
Pubblicazione: (2024)

Mortality Modeling and Forecasting with the Actuaries Climate Index
di: Barigou, Karim, et al.
Pubblicazione: (2025)

Does Spatial Information Improve Influenza Forecasting?
di: Thivierge, Gabrielle, et al.
Pubblicazione: (2024)

Improving Outbreak Forecasts Through Model Augmentation
di: Gibson, Graham C., et al.
Pubblicazione: (2025)

Mortality Forecasting with Generalized Additive Mixed Models
di: Dastranj, Reza, et al.
Pubblicazione: (2023)

Two-Part Forecasting for Time-Shifted Metrics
di: Katz, Harrison, et al.
Pubblicazione: (2025)

Forecasting Arctic Temperatures With Quantile Machine Learning
di: Berk, Richard
Pubblicazione: (2025)

A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM
di: Zhang, Yongan, et al.
Pubblicazione: (2024)