Probabilistic Time Series Forecasting

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  1. CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives

    Aug 3, 2026Zifan Zhang, Zhichao Hou, Tingxiang Ji +1High-Performance ComputingTime Series Forecasting

  2. Crossing-Free Probabilistic K-Line Forecasts Without Retraining

    Jul 29, 2026Runyao Yu, Yuchen Tao, Yujie Chen +2Financial ForecastingTime Series Forecasting

  3. Foundation Models and Fine-Tuning: Toward a New Generation of Models for Time Series Forecasting

    Jul 25, 2026Morad Laglil, Bertrand Pracca, Emilie Devijver +1Zero-Shot Time Series ForecastingTime-Series Foundation Models

  4. From Seasonality to Semantics: Benchmarking a Hybrid Probabilistic Forecasting System for Roadblocks in Bolivia

    Jul 23, 2026Rodrigo Vargas Sainz, Christian Berón CurtiProbabilistic Time Series Forecasting

  5. Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting

    Jul 23, 2026Ferdinand Bhavsar, Lionel Benoit, Maxime Savatier +1Multivariate Time Series ForecastingTime Series Imputation

  6. SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting

    Jul 22, 2026Hang Ye, Xinyan Jiang, Yuedong Shi +5Probabilistic ForecastingElectricity Load Forecasting

  7. Forecasting the Number of Harvest-ready Fruits of Sweet Peppers Using Multimodal Time-Series Data

    Jul 22, 2026Enrico Pallotta, Mohamed Farag, Esra Guclu +3Multivariate Time Series ForecastingPlant Phenotyping

  8. Towards Reliable Zero-Shot Crowd Forecasting: Evaluating Time Series Foundation Models for Special Event Pedestrian Forecasting

    Jul 20, 2026Ziteng Li, Yanan Xin, Tina Comes +1Zero-Shot Time Series ForecastingSpatiotemporal 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. 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

  11. 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

  12. TSCoNet: A Two-Stage Copula CNN-LSTM for Uncertainty-Aware Spatio-Temporal Forecasting

    Jul 11, 2026Jongwook Kim, Jong-Min KimMultivariate Time Series ForecastingCopula Models

  13. QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Forecasting

    Jul 2, 2026Shah Nawaz Haider, Steve Austin, Arnab Barua +2Selective SSMsTime Series Forecasting

  14. Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence

    Jul 2, 2026Zhenghua Pan, Ahmed Aziz EzzatZero-Shot Time Series ForecastingElectricity Price Forecasting

  15. Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evaluated on Application-Oriented Metrics

    Jul 2, 2026Benedikt Kaas, Manuel Treutlein, Hannes Benedikt Gerber +5Time Series ForecastingElectricity Load Forecasting

  16. Beyond Point Estimates for Glaucoma Visual Field Forecasting with Diffusion Models

    Jun 29, 2026Marta Colmenar Herrera, Pablo Márquez Neila, Şerife Seda Kucur Ergünay +2Spatiotemporal ForecastingUncertainty Calibration

  17. Heads, Not Backbones: Output Heads Dominate Architectures on Fat-Tailed Returns

    Jun 29, 2026Sichao He, Yansong ZhangQuantitative FinanceFinancial Forecasting

  18. Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting

    Jun 25, 2026Johnny Peng, Thanh Tung Khuat, Ellen Otte +2Irregular Time-Series ModelingTime Series Forecasting

  19. Model selection with proper scoring rules on data sets of time series: prefer the mean scaled score

    Jun 23, 2026Giorgio Corani, Stefano Damato, Dario Azzimonti +1Model SelectionTime Series Forecasting

  20. Uncertainty-Aware Longitudinal Forecasting of Alzheimer's Disease Progression Using Deep Learning

    Jun 23, 2026Arya Hariharan, Shreyank N Gowda, Anala M RClinical Outcome PredictionAlzheimer's Disease Classification

  21. Do Time Series Foundation Model Benchmarks Hide Regime-Dependent Failures? Evidence from Traffic Speed Forecasting

    Jun 16, 2026Yingshuo Wang, Xian Sun, Lingdong Kong +4Time Series ForecastingForecasting Benchmarks

  22. CloudCons: A Comprehensive End-to-End Benchmark for Cloud Resource Consolidation

    Jun 11, 2026Xiaobin Zhang, Lefei Shen, Mouxiang Chen +6Zero-Shot Time Series ForecastingForecasting Benchmarks

  23. Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting

    Jun 9, 2026Xingyu Zhang, Jingyao Wang, Xin Yu +4Time Series ForecastingProbabilistic Time Series Forecasting

  24. Investigating Calibration Challenges in Probabilistic Electricity Price Forecasting

    Jun 8, 2026Jan Niklas Lettner, Hadeer El Ashhab, Benjamin SchäferProbability CalibrationElectricity Price Forecasting

  25. Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting

    Jun 7, 2026Jiahui Huang, Ao Luo, Lei Liu +6Zero-Shot Time Series ForecastingTime Series Forecasting

  26. Reconstructing and forecasting disease trajectories of patients with Alzheimer's disease using routine data in resource-constrained settings

    Jun 5, 2026Ratnadeep Das, Atri Chatterjee, Sitikantha RoyAlzheimer's DiseaseClinical Outcome Prediction