Retrieval-Augmented Forecasting

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Period ending 2026-09-14

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Period ending 2026-09-07

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65 papers

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

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

  2. Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma

    Sep 14, 2026Yeonjae Jung, Minwoo ShinBrain TumorPrognostics

  3. Bidirectional Multimodal Fusion of Sky Images and Time-Series for Solar Forecasting with Large Language Models

    Sep 11, 2026Ken Chen, Maneesha Perera, Wei Wang +3Wind Power ForecastingSolar Irradiance

  4. A Two-Stage Forecasting System for CPU Workload Prediction in Private Clouds

    Sep 3, 2026Ashir Javeed, Anton Borg, Håkan Grahn +3Retrieval-Augmented ForecastingCentral Processing Units

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

    Sep 2, 2026Zhente Zhang, Zhengwei Ni, Wei FanTime Series ForecastingRetrieval-Augmented Forecasting

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

    Sep 1, 2026Yufei Chen, Yiran Zhao, Xiaogang Xu +3Retrieval-Augmented ForecastingElicitation

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

    Aug 11, 2026Kiran Madhusudhanan, Christian Klötergens, Lars Schmidt-Thieme +1Retrieval-Augmented ForecastingTime Series Forecasting

  8. FarSky: Task-Aware Latent-Space Coupling for Generative Intra-Hour Solar Forecasting

    Aug 6, 2026Yann Fabel, Bijan Nouri, Milon Miah +4Wind Power ForecastingRetrieval-Augmented Forecasting

  9. Align-RAG: Alignment Is All You Need for TSFM In-Context Learning

    Aug 6, 2026Mohammad Asadi, Soheil Hor, Bardiya Akhbari +6Time Series Foundation ModelsRetrieval-Augmented Forecasting

  10. BRACE: Taming Sharp Irregularities via Barycentric Rational Forecasting for Fast Diffusion Transformers Inference

    Aug 4, 2026Jinlong Yang, Jinke Wu, Lizilin +1Diffusion TransformersDataset Distillation

  11. Traceable Multi-Agent System for Knowledge-Based Forecasting

    Aug 4, 2026Junhyeok Kang, Sangjun Han, Hyeokjun Choe +1Retrieval-Augmented ForecastingDecentralized Multi-Agent System

  12. Multi-Source Dynamic Graph Learning for Compound-Flood Forecasting in Managed Coastal Systems

    Aug 3, 2026Liangjun You, Min Wu, Orlando Woods +1Accurate Flood PredictionRetrieval-Augmented Forecasting

  13. TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion

    Jul 31, 2026Yu Sun, Yuan Chang, Xiaohou Shi +1Time Series ForecastingRetrieval-Augmented Forecasting

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

    Jul 29, 2026Runyao Yu, Yuchen Tao, Yujie Chen +2Retrieval-Augmented ForecastingQuantile Regression

  15. Context-Aware Concept Distillation for Trustworthy Flood Prediction

    Jul 25, 2026Eli Levinkopf, Efrat Morin, Claudia V. GoldmanAccurate Flood PredictionForward-Looking Fault-Risk Prediction

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

    Jul 23, 2026Rodrigo Vargas Sainz, Christian Berón CurtiRetrieval-Augmented ForecastingSeason

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

    Jul 20, 2026Christopher Wang, Sebastien Ouellet, Behrouz Haji Soleimani +1Retrieval-Augmented ForecastingIn-Context Learning

  18. Progression as Latent Drift: Generative Forecasting of Slow-Evolving Pathologies

    Jul 9, 2026Yuxiang Feng, Juncheng Wang, Chao Xu +7Neuroimaging ModelsLatent Prediction

  19. A Quantum Reservoir Architecture for Chaotic Forecasting and a Test of Whether Its High Dimension Helps

    Jul 8, 2026Tushar PandeyReservoir ComputingQuantum Learning

  20. Self-Gating Attention for Efficient Time Series Forecasting

    Jul 2, 2026Dezheng Wang, Tong Chen, Wei Yuan +3Time Series ForecastingTime Series

  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 Foundation ModelsTime Series Forecasting

  22. Liquid Latent State Dynamics for Interpretable Turbofan Degradation Modeling

    Jul 2, 2026Weizhi Nie, Weijie Wang, Yuting SuPrognosticsTurbofan Engines

  23. Generative Model Proposal based Particle Filtering for Data Assimilation

    Jul 1, 2026Chandni Nagda, Mayank Shrivastava, Gudrun Thorkelsdottir +3Data AssimilationBayesian Filtering

  24. ForecastAgentSearch: Towards a Multi-Expert Agent Search System for Geopolitical Event Forecasting

    Jun 30, 2026Miaomiao Cai, He Chang, Yunshan Ma +1Retrieval-Augmented ForecastingSearch Agents

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

    Jun 29, 2026Sichao He, Yansong ZhangLong-Tailed DistributionRetrieval-Augmented Forecasting

  26. Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs

    Jun 24, 2026Qiyuan Wu, Katie Z Luo, Bharath Hariharan +2Trajectory PredictionRetrieval-Augmented Forecasting

  27. FDN: Interpretable Spatiotemporal Forecasting with Future Decomposition Networks

    Jun 23, 2026Nicholas Majeske, Ariful AzadSpatio-Temporal ForecastingRetrieval-Augmented Forecasting

  28. 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 SelectionRetrieval-Augmented Forecasting

  29. TelcoAgent: A Scalable 5G Multi-KPM Forecasting With 3GPP-Grounded Explainability

    Jun 18, 2026Geon Kim, Dara Ron, Sukhdeep Singh +5Mobile NetworksRetrieval-Augmented Forecasting

  30. Simulation-Augmented Multi-Step Split Conformal Prediction for Aggregated Forecasts

    Jun 15, 2026Andro SabashviliConformal PredictionRetrieval-Augmented Forecasting

  31. Quantum-classical hybrid models based on error correction for time series forecasting

    Jun 13, 2026Jonathan H. A. de Carvalho, Filipe C. de L. Duarte, Fernando M. de Paula Neto +1Quantum Neural NetworksTime Series Forecasting

  32. Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation

    Jun 11, 2026Beinan Xu, Andy Song, Jiti Gao +1Retrieval-Augmented ForecastingState Estimation

  33. Divide-and-Conquer Modeling for the CTF-4-Science Lorenz Benchmark

    Jun 8, 2026Shundong LiRetrieval-Augmented ForecastingAttractors

  34. Zero-Copy Semantic Contagion: An In-Memory Streaming Architecture for Evolving Attention Graphs

    Jun 4, 2026Kabir MurjaniArbitrageMulti-View Gated Graph Attention Network

  35. Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing

    May 30, 2026T. Ansah-Narh, Y. Asare Afrane, J. Bremang TandohMalariaRetrieval-Augmented Forecasting

  36. Kalimati Vegetable Price Index Forecasting with a Momentum Corrected Online Stacking Ensemble

    May 29, 2026Sahaj Raj MallaRetrieval-Augmented ForecastingVolatility

  37. Stabilizing distribution-free probabilistic forecasts

    May 27, 2026Jente Van Belle, Honglin Wen, Wouter Verbeke +1Retrieval-Augmented ForecastingTime Series Forecasting

  38. SL-BiLEM: Structured Learnable Behavior-in-the-Loop Epidemic Modeling for Forecasting and Policy Evaluation

    May 26, 2026Haochun Wang, Sendong Zhao, Jingbo Wang +3Epidemic ForecastingRetrieval-Augmented Forecasting

  39. Beyond Holistic Models: Systematic Component-level Benchmarking of Deep Multivariate Time-Series Forecasting

    May 26, 2026Shuang Liang, Chaochuan Hou, Xu Yao +4Time Series ForecastingRetrieval-Augmented Forecasting

  40. Deep ZakaiJ: Structured Filtering for Jump-Diffusion Time Series Forecasting

    May 23, 2026Yan Leng, Thibaut Mastrolia, Hao WangBayesian FilteringRetrieval-Augmented Forecasting

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

    May 19, 2026Kieran Wood, Stefan Zohren, Stephen J. RobertsRetrieval-Augmented ForecastingPredictive Uncertainty

  42. L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting

    May 18, 2026Fan Zhang, Shijun Chen, Hua WangTime Series ForecastingRetrieval-Augmented Forecasting

  43. Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting

    May 16, 2026Qian Jiang, Liping SunRetrieval-Augmented Forecasting\Emph{State-Prediction Separation Hypothesis

  44. CAST: Causal Anchored Simplex Transport for Distribution-Valued Time Series

    May 16, 2026Jiecheng Lu, Jieqi Di, Runhua Wu +1Retrieval-Augmented ForecastingConditional Distribution

  45. Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search

    May 15, 2026Sarah Martinson, Michael P. Brenner, Martyna Plomecka +3Epidemic ForecastingRetrieval-Augmented Forecasting

  46. DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes

    May 14, 2026Manrui Jiang, Jingru Huang, Yong Chen +1Hidden Markov ModelsRetrieval-Augmented Forecasting

  47. What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions

    May 14, 2026Shuqi Gu, Yongxiang Zhao, Baoyu Jing +1Retrieval-Augmented Forecasting

  48. A Resilient Solution for Sewer Overflow Monitoring across Cloud and Edge

    May 11, 2026Vipin Singh, Tianheng Ling, Peter Ghaly +3Accurate Flood PredictionRetrieval-Augmented Forecasting

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

    May 11, 2026Yang Yang, Du Yin, Hao Xue +1Heavy-Tailed NoisePredictive Uncertainty

  50. Unlocking air traffic flow prediction through microscopic aircraft-state modeling

    May 11, 2026Bin Wang, Anqi Liu, Jiangtao Zhao +8Accurate Traffic ForecastingAir Traffic Control

  51. PixelFlowCast: Latent-Free Precipitation Nowcasting via Pixel Mean Flows

    May 11, 2026Yufeng Zhu, Chunlei Shi, Yongchao Feng +1PrecipitationRetrieval-Augmented Forecasting

  52. LEAF: A Living Benchmark for Event-Augmented Forecasting

    May 9, 2026Mingtian Tan, Mihir Parmar, Palash Goyal +5Retrieval-Augmented ForecastingMarket

  53. Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting

    May 6, 2026Rishi Ahuja, Kumar Prateek, Simranjit Singh +1Time Series Foundation ModelsRetrieval-Augmented Forecasting

  54. Road Risk Monitor: A Deployable U.S. Road Incident Forecasting System with Live Weather and Road-Level Tiles

    May 5, 2026Anton IvchenkoAccurate Traffic ForecastingForward-Looking Fault-Risk Prediction

  55. CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting

    Apr 30, 2026Bokai Pan, Mingyue Cheng, Zhiding Liu +6Retrieval-Augmented ForecastingTime Series Forecasting

  56. Prior-Agnostic Robust Forecast Aggregation

    Apr 27, 2026Zhi Chen, Cheng Peng, Wei TangRetrieval-Augmented ForecastingLinear Regret

  57. DialToM: A Theory of Mind Benchmark for Forecasting State-Driven Dialogue Trajectories

    Apr 22, 2026Neemesh Yadav, Palakorn Achananuparp, Jing Jiang +1Theory-Of-Mind ReasoningTheoretical Foundations

  58. Spatio-temporal modelling of electric vehicle charging demand

    Apr 21, 2026Kaoutar Bouaachra, Yvenn Amara-Ouali, Yannig Goude +1Electric VehiclesEnergy Forecasting

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

    Apr 20, 2026Worachit Amnuaypongsa, Yotsapat Suparanonrat, Pana Wanitchollakit +1Retrieval-Augmented ForecastingWind Power Forecasting

  60. Channel-wise Retrieval for Multivariate Time Series Forecasting

    Apr 7, 2026Junhyeok Kang, Jun Seo, Soyeon Park +4Time Series ForecastingRetrieval-Augmented Forecasting