Latest papers 667

139 papers in the last four weeks, up 101% on the four weeks before. 0.9% of all new papers.

All topics
CardsList
  1. Expert-Guided Forecast Editing for Time-Series Foundation Models

    Jul 22, 2026Hung Le, Minh Hoang Nguyen, Manh Nguyen +2Black-Box OptimizationTime Series Forecasting

  2. A Deep Learning Framework for Predicting Solar EUV Irradiance During Significant Flares

    Jul 21, 2026Sathvik Soman, Jason T. L. Wang, Haimin Wang +1Time Series Forecasting

  3. Subject-Conditioned Glucose Forecasting in Type-1 Diabetes

    Jul 21, 2026Giorgia Rigamonti, Mirko Paolo Barbato, Davide Marelli +1Type 1 DiabetesTime Series Forecasting

  4. Censoring-Aware In-Context Learning for Generalized Supplier Lead Time Estimation in Supply Chain Planning

    Jul 20, 2026Christopher Wang, Sebastien Ouellet, Behrouz Haji Soleimani +1Survival AnalysisTime Series Forecasting

  5. Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting

    Jul 20, 2026Wentao Gao, Jiuyong Li, Lin Liu +4Test-Time AdaptationTime Series Forecasting

  6. Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting

    Jul 20, 2026Wentao Gao, Jiuyong Li, Lin Liu +4Time Series ForecastingClimate Modeling

  7. Fourier Geometric Wind Power Forecasting with Numerical Weather Prediction

    Jul 19, 2026Shiyuan Piao, Fan Zehui, Yang Liu +4Multivariate Time Series ForecastingTime Series Forecasting

  8. BG4Sea: Biogeochemical Seasonal Forecastability via Progressive Information Scaling

    Jul 18, 2026Gabriela Martinez Balbontin, Anastase Charantonis, Dominique Bereziat +1Multivariate Time Series ForecastingTime Series Forecasting

  9. Behaviour-Conditioned Neural Processes for Adaptive Residential Short-Term Load Forecasting

    Jul 17, 2026Ramin Soleimani, Andrea Visentin, Dirk PeschNeural ProcessesTime Series Forecasting

  10. A Quantum-Classical Hybrid Framework for Multivariate Time-Series Forecasting Complexity-Fidelity Trade-offs and Limitations

    Jul 17, 2026Sanjay Chakraborty, Fredrik HeintzMultivariate Time Series ForecastingTime Series Forecasting

  11. A Predict-then-Correct Loop Based on Few-Shot Continuous Contextual Bandit for Demand Forecasting

    Jul 17, 2026Zhiwei Lei, Benedict Jun Ma, Ilya JacksonTime Series ForecastingContextual Bandits

  12. A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods

    Jul 17, 2026Matthias Hertel, Sebastian Pütz, Jonathan Kolar +3Time Series ForecastingForecasting Benchmarks

  13. Asymmetric Peak-Aware Loss for Peak-Critical Time Series Forecasting

    Jul 16, 2026Theivaprakasham Hari, Yanan Xin, Winnie Daamen +2Multivariate Time Series ForecastingLong-Term Time Series Forecasting

  14. Accuracy-Preserving Stability Regularization for Large-Scale Retail Demand Forecasting

    Jul 14, 2026Jize Li, Jiani He, Dishu Yang +3Time Series Forecasting

  15. The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting

    Jul 14, 2026Mert Onur Cakiroglu, Mehmet Dalkilic, Hasan KurbanTime Series ForecastingRetrieval-Augmented Time Series Forecasting

  16. Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable Analysis

    Jul 14, 2026Dandan Chen, Yan Zhao, Xuepeng ChenTime Series ForecastingSolar Power Forecasting

  17. Learning-based Probabilistic Load Forecasting with Post-hoc and In-model Uncertainty

    Jul 14, 2026Sarah Al-Shareeda, Gulcihan Ozdemir, Heung Seok JeonQuantile RegressionTime Series Forecasting

  18. Climate-Invariant Conformal Prediction Intervals for Multi-Horizon Solar and Wind Forecasting

    Jul 13, 2026Shreedhar Gangwar, Abhinav Bains, Banalaxmi BrahmaGroup-Conditional Conformal PredictionTime Series Forecasting

  19. Inter-Stop Energy Prediction and Causal Driver Quantification for Dual-Source Trolleybuses via a Time-Aware Tabular Deep Learning Architecture

    Jul 13, 2026Wentao Zeng, Zijian Huang, Yiming Bie +2Time Series ForecastingTabular ML

  20. Optimizing ARDL Models for Retail Sales Forecasting and Fair Pricing

    Jul 10, 2026Sujay Uday RittikarTime Series ForecastingAlgorithmic Fairness

  21. GatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series Forecasting

    Jul 10, 2026Qitai Tan, Ruiwen Gu, Yilin Su +3Mixture of ExpertsTime Series Forecasting

  22. On-Device Adaptive Battery Power Prediction for Electric Vehicles

    Jul 10, 2026Avik Bhatnagar, Anton Paule, Tobias Schuermann +2On-Device TrainingContinual Test-Time Adaptation

  23. Frequency-Domain Multi-Modality Transportation Modeling

    Jul 9, 2026Jiewen Deng, Hangchen Liu, Junchen Li +2Multivariate Time Series ForecastingIntelligent Transportation Systems

  24. PARA-PV: Physics-Aware Retrieval-Augmented PV Prediction Based on Frozen Foundation Model and Distribution Shift Correction

    Jul 9, 2026Hang Fan, Weican Liu, Ying Lu +3Time Series ForecastingNon-Stationary Time Series Forecasting

  25. Agent Delivery Engineering Predictive Reliability Framework

    Jul 8, 2026Dexing LiuAI Agent ReliabilityMulti-Agent LLM Systems