Probabilistic Forecasting

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  1. Variational Streaming Flow: Probabilistic Forecasting in Physical Time

    Oct 1, 2026Hans Hao-Hsun Hsu, Minseon Gwak, Soon Hoe Lim +2Probabilistic ForecastingVelocity Field

  2. GARDiff: Graph-Aligned Residual Diffusion for Probabilistic Multivariate Time-Series Forecasting

    Sep 29, 2026Rui Han, Min Yang, Xu Zhang +3Residual Conditional Diffusion ModelProbabilistic Forecasting

  3. Probabilistic electrical power demand forecasting with uncertainty quantification

    Sep 28, 2026Mahesh Neupane, Pragya Dhungana, Pradip Khatri +2Electricity Price ForecastingProbabilistic Forecasting

  4. Lightweight Probabilistic Downscaling from a Deterministic Base Model

    Sep 24, 2026Joseph McLean, Tiffany Vlaar, Sigrid Passano Hellan +1Dynamical DownscalingProbabilistic Forecasting

  5. fable.intermittent: benchmarking probabilistic forecasting methods for intermittent time series

    Sep 23, 2026Stefano Damato, Lorenzo Zambon, Giorgio Corani +1Probabilistic ForecastingTime Series

  6. PROSWIN: Probabilistic Solar Wind Speed Forecasting Using Deep Distributional Regression From Solar Images

    Sep 22, 2026Daniel Collin, Yuri Shprits, Luca Chiarabini +3Geomagnetic StormsProbabilistic Forecasting

  7. t0t_0: A Time-Series Foundation Model for Forecasting with Context

    Sep 21, 2026Lucas Meyer, Claudio Sole, Huikan Xiang +6Time Series Foundation ModelsProbabilistic Forecasting

  8. Goal-oriented probabilistic forecasting for dynamic PRB allocation in 5G networks

    Sep 15, 2026Oier Larumbe-Lizarraga, Roberto Pereira, Cristian J. Vaca-RubioProbabilistic Forecasting

  9. DynG-Diff: A State-Aware Dynamic Guidance Diffusion Framework for Probabilistic Time Series Forecasting

    Sep 2, 2026Zhente Zhang, Zhengwei Ni, Wei FanMultivariate Time Series ForecastingProbabilistic Forecasting

  10. OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation

    Sep 1, 2026Yunqin Zhu, Feng Qiu, Yao XieProbabilistic ForecastingData-Driven Forecasting

  11. LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting

    Sep 1, 2026Yufei Chen, Yiran Zhao, Xiaogang Xu +3Large Language Model ForecastingProbabilistic Forecasting

  12. CLaST: Context-aware Contrastive VAE for Probabilistic Time Series Forecasting

    Aug 20, 2026Alexander Marusov, Dmitry Anikin, Petr Sokerin +3Probabilistic ForecastingTime Series

  13. Two-stage Odd Residual Flows for Mean-Preserving Probabilistic Time Series Forecasting

    Aug 11, 2026Kiran Madhusudhanan, Christian Klötergens, Lars Schmidt-Thieme +1Probabilistic ForecastingLong-Horizon Forecasting

  14. Real-time probabilistic tsunami forecasting via generative AI

    Aug 5, 2026Yusuke Oishi, Takashi Furumura, Fumihiko ImamuraAccurate Flood PredictionProbabilistic Forecasting

  15. Probabilistic Deep Learning for Drought Forecasting: Role of Internal Climate Variability

    Aug 3, 2026Henri Funk, Cornelia Gruber, Göran Kauermann +2Probabilistic ForecastingGlobal Climate Models

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

    Jul 29, 2026Runyao Yu, Yuchen Tao, Yujie Chen +2Probabilistic ForecastingForecast

  17. 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 ForecastingTime Series Forecasting

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

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

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

    Jul 14, 2026Sarah Al-Shareeda, Gulcihan Ozdemir, Heung Seok JeonAccurate Short-Term Electricity Load ForecastingProbabilistic Forecasting

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

    Jul 13, 2026Shreedhar Gangwar, Abhinav Bains, Banalaxmi BrahmaEnergy ForecastingProbabilistic Forecasting

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

    Jul 2, 2026Shah Nawaz Haider, Steve Austin, Arnab Barua +2Time Series ForecastingProbabilistic Forecasting

  22. Decision-Aware Training for Sample-Based Generative Models

    Jul 1, 2026Kornelius Raeth, Nicole LudwigProbabilistic ForecastingGenerative Models

  23. TRIE: An Evaluation Framework for Stochastic PDE Surrogates

    Jun 30, 2026Bharat Srikishan, Javier E. Santos, Nikhil Muralidhar +1Surrogate ModelsProbabilistic Forecasting

  24. 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 SelectionProbabilistic Forecasting

  25. Reliability of Probabilistic Emulation of Physical Systems

    Jun 11, 2026Sam F. Greenbury, Radka Jersakova, Paolo Conti +4Probabilistic ForecastingEmulators

  26. Investigating Calibration Challenges in Probabilistic Electricity Price Forecasting

    Jun 8, 2026Jan Niklas Lettner, Hadeer El Ashhab, Benjamin SchäferElectricity Price ForecastingProbabilistic Forecasting

  27. ProbRes: Volatility Learning for Probabilistic Time-Series Forecasting

    Jun 1, 2026Tingting Wang, Yunyi Zhang, Benyou WangProbabilistic ForecastingVolatility

  28. Stabilizing distribution-free probabilistic forecasts

    May 27, 2026Jente Van Belle, Honglin Wen, Wouter Verbeke +1Probabilistic ForecastingShort-Horizon Forecasting

  29. Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting

    May 26, 2026Hui Dai, Ryan Teehan, Parsa Torabian +1Large Language Model ForecastingProbabilistic Forecasting

  30. Valid and Expressive Copulas for Irregular Multivariate Time Series

    May 22, 2026Christian Klötergens, Tom Hanika, Lars Schmidt-Thieme +1Gaussian CopulaMultivariate Time-Series

  31. Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting

    May 22, 2026Jinglin Li, Jun Tan, QI Fang +1Probabilistic ForecastingMultivariate Time-Series

  32. PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows

    May 22, 2026Minju Kim, Youngbum HurProbabilistic ForecastingTime Series

  33. DeRegiME: Deep Regime Mixtures for Probabilistic Forecasting under Distribution Shift

    May 19, 2026Kieran Wood, Stefan Zohren, Stephen J. RobertsProbabilistic ForecastingDistribution Shifts

  34. PRB-RUPFormer: A Recursive Unified Probabilistic Transformer for Residual PRB Forecasting

    May 14, 2026Saad Masrur, Yuxuan Jiang, Matti Hiltunen +2Probabilistic ForecastingMobile Networks

  35. DeepLévy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series

    May 11, 2026Yang Yang, Du Yin, Hao Xue +1Probabilistic ForecastingLong-Tailed Distribution

  36. Recipes for Calibration Checks in Safety-Critical Applications

    Apr 29, 2026Romeo ValentinProbabilistic ForecastingPrediction Error

  37. Barrier-enforced multi-objective optimization for direct point and sharp interval forecasting

    Apr 20, 2026Worachit Amnuaypongsa, Yotsapat Suparanonrat, Pana Wanitchollakit +1Probabilistic ForecastingEnergy Forecasting

  38. Forecast Sports Outcomes under Efficient Market Hypothesis: Theoretical and Experimental Analysis of Odds-Only and Generalised Linear Models

    Apr 19, 2026Kaito Goto, Naoya Takeishi, Takehisa YairiBettingProbabilistic Forecasting

  39. Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting

    Apr 16, 2026Jan Niklas Lettner, Hadeer El Ashhab, Veit Hagenmeyer +1Electricity Price ForecastingProbabilistic Forecasting

  40. Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps

    Mar 11, 2026Elizabeth Cucuzzella, Rafael Izbicki, Ann B. LeeProbabilistic ForecastingTropical Cyclones

  41. Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics

    Mar 7, 2026Rajdeep Pathak, Tanujit ChakrabortyEpidemiological ModelsProbabilistic Forecasting

  42. An intuitive rearranging of the Yates covariance decomposition for probabilistic verification of forecasts with the Brier score

    Mar 4, 2026Bruno Hebling VieiraProbabilistic ForecastingForecast

  43. Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles

    Feb 13, 2026Max Bruninx, Diederik van Binsbergen, Timothy Verstraeten +2Offshore Wind TurbineProbabilistic Forecasting

  44. Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates

    Feb 4, 2026Irene Iele, Giulia Romoli, Daniele Molino +4Normalized Difference Vegetation IndexProbabilistic Forecasting

  45. CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score

    Oct 10, 2025Erik Larsson, Joel Oskarsson, Tomas Landelius +1Probabilistic ForecastingSmall Reasoning Model

  46. Double-Diffusion: Balancing Speed, Accuracy, and Uncertainty in Probabilistic Forecasting for Urban Sensor Networks

    Jun 29, 2025Hanlin Dong, Arian Prabowo, Hao Xue +4Probabilistic ForecastingDiffusion Dynamics