| 1 | Online Reinforcement Learning in the Met Office Unified Model through Distributed Model-Agent Coupling | Pritthijit Nath, Sebastian Schemm, Peter Haynes +2 | cs.LG | 2026-09-02 |
| 2 | DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models | Yotam Eshel, Guy Hadad, Guy Feigenblat +3 | cs.LG | 2026-09-02 |
| 3 | Compositional Spectral Prompts for LLM-based Online Time Series Forecasting | Seungyoon Choi, Hyunchul Kim, Jae-Gil Lee +1 | cs.LG | 2026-09-02 |
| #4 | TC-Next: Zero-Shot Multimodal Cyclone Forecasting | Zhe Wang, Sijie Chen, Yiming Luo +2 | cs.LG | 2026-09-02 |
| #5 | DynG-Diff: A State-Aware Dynamic Guidance Diffusion Framework for Probabilistic Time Series Forecasting | Zhente Zhang, Zhengwei Ni, Wei Fan | cs.LG | 2026-09-02 |
| #6 | Network-Aware Forecasting on Wireless Access Points | Niloo Bahadori, Swadhin Pradhan, Peiman Amini | cs.NI | 2026-09-02 |
| #7 | OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation | Yunqin Zhu, Feng Qiu, Yao Xie | cs.LG | 2026-09-01 |
| #8 | RecKAN: Kolmogorov-Arnold Networks with a Learnable Recursive Polynomial Basis | Amirhosein Azarpour | cs.LG | 2026-09-01 |
| #9 | Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks | Mehrdad Shafiei Dizaji, Hoda Azari | cs.LG | 2026-09-01 |
| #10 | LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting | Yufei Chen, Yiran Zhao, Xiaogang Xu +3 | cs.AI | 2026-09-01 |
| #11 | When Does Online Adaptation Pay on the Edge? A Leakage-Free Evaluation of Warmup, Learning-Rate Selection, and Resource Trade-offs for Time-Series Forecasting | Takumi Fujimoto, Hiroaki Nishi | cs.LG | 2026-09-01 |
| #12 | CERF: Communication-Efficient and Retraining-Free Collaborative Perception | Jiuwu Hao, Ziyi Ni, Liguo Sun +5 | cs.CV | 2026-09-01 |
| #13 | Residual Kalman Dynamics for Event-Based UAV Forecasting | Per Nyblom, Hannes Ovrén, David Gustafsson | cs.CV | 2026-09-01 |
| #14 | Can Large Language Models Forecast What Researchers Study Next? | Fenghai Li, Zihan Tang, Haofei Yu +2 | cs.CL | 2026-09-01 |
| #15 | GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting | Mohammad Kian Golkar, Luciano Alves de Oliveira, Mohammad Khanjani | cs.LG | 2026-09-01 |
| #16 | A Human-in-the-Loop Autonomous Agent for Industry Time Series Forecasting | Xiaoyu Tao, Mingyue Cheng, Ze Guo +4 | cs.LG | 2026-08-31 |
| #17 | Uncertainty-Aware Trajectory Forecasting from Imperfect Tracking | Stephane Da Silva Martins, Victor Petrovic, Emanuel Aldea +1 | cs.CV | 2026-08-31 |
| #18 | Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions | Rodrigo Almeida, Noelia Otero, Jost Arndt +3 | physics.ao-ph | 2026-08-31 |
| #19 | Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models? | Arkadiusz Lipiecki, Rafał Weron | cs.LG | 2026-08-31 |
| #20 | Season-Aware Hybrid Convolutional-Transformer for Antarctic Sea Ice Concentration Forecasting | Danyang Li, John Taylor, Thang Bui +1 | cs.LG | 2026-08-31 |
| #21 | When the Martingale Never Stops Firing: Anytime-Valid Gating on Real Forecast Streams | Weijia Han, Lisha Qu | cs.LG | 2026-08-31 |
| #22 | The PUR-1 Cyber-Physical Digital Twin | Vasileios Theos, Jonah Lau, Konstantinos Gkouliaras +7 | cs.CE | 2026-08-31 |
| #23 | An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detection | Basil Sajid Shaikh, Melrick Mascarenhas, Nuzhat Faiz Shaikh | cs.AI | 2026-08-30 |
| #24 | Structure Aware Neural Architecture Search for Mixture of Experts | Petr Babkin, Oleg Bakhteev | cs.LG | 2026-08-30 |
| #25 | ButterMamba: Butterworth-Enhanced Spatial-Temporal Mamba for Efficient Traffic Flow Prediction | Limiao Zhang, Yuhui Lu, Jie Gao +3 | physics.soc-ph | 2026-08-30 |
| #26 | LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecasting | Di Zhang, Jingyang Zhang, Ziqian Wang +4 | cs.LG | 2026-08-30 |
| #27 | Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps | Sagar Srinivas Sakhinana, Venkataramana Runkana | cs.MA | 2026-08-30 |
| #28 | Predicting the Unpredictable: LLM-powered Long-term Chaotic Time Series Forecasting under Short-term Observations | Yuhang Yao, Bohan Jiang | cs.LG | 2026-08-30 |
| #29 | Integrating adaptive human behavior into epidemic models with large language models | Yicheng Mao, Haoyang Li, Rob Deardon +1 | physics.soc-ph | 2026-08-30 |
| #30 | Unlearning on Spatio-Temporal Graphs through Subgraph Virtual Edge Reconstruction | Qiming Guo, Wenbo Sun, Chen Pan +2 | cs.LG | 2026-08-29 |
| #31 | Spatial Entropy based Partitioning for Spatiotemporal Graph Unlearning | Qiming Guo, Wenbo Sun, Ye Wang +1 | cs.LG | 2026-08-29 |
| #32 | Sparse Koopman Autoencoders Identify Local Dynamical Regimes in Multibasin Systems | Aidan Li, Uday Kiran Reddy Tadipatri, Mahan Fathi +2 | cs.LG | 2026-08-29 |
| #33 | Hybrid Semantic Context-Enhanced Ensemble Learning for Wind Power Ramp-Event Forecasting and Uncertainty-Aware Evaluation | Momina Liaqat Ali, Muhammad Abid, Muhammad Abdullah +1 | cs.LG | 2026-08-29 |
| #34 | Multi-Step Forecasting of Grape Berry Temperature based on LSTM Model with Feed-Forward Attention | Srikanth Gorthi, L. G. Divyanth, Dattatray Bhalekar +2 | cs.AI | 2026-08-29 |
| #35 | PermitGPT: A Unified Generative-AI Pipeline for Construction Hazard Forecasting, Permit Prediction, and Community Impact | Mohd Ruhul Ameen, Farjana Aktar, Akif Islam +3 | cs.AI | 2026-08-28 |
| #36 | How Proper Scoring Rules Shape LLM Forecasting | Benjamin Turtel, Paul Wilczewski, Kris Skotheim +2 | cs.LG | 2026-08-28 |
| #37 | Learning to Transfer Across Modes: Towards Unified Urban Mobility Forecasting | Yixuan Zhao, Man Luo | cs.LG | 2026-08-28 |
| #38 | Learning to Difference: Adaptive Reversible Differencing (AdaRDiff) for Time Series Forecasting | Morad Laglil, Younes Hlal, Marouane El Hadari +2 | cs.LG | 2026-08-28 |
| #39 | Generalized Gibbs Ensemble Weighting for Forecast Combination | Prasen R. Nuthanakaluva, Nava K. Gaddam | cs.LG | 2026-08-28 |
| #40 | What Will This Copper Look Like Later? Forecasting Surface Appearance and Rendering It as a PBR Material | Teejuta Sriwaranon, Borworntat Dendumrongkul, Tanapat Chamted +1 | cs.GR | 2026-08-28 |
| #41 | PhyMamba: Physics-Modulated Mamba for Robust Battery Health Prognostics | Sara Sameer, Yunyi Zhao, Wei Zhang +4 | cs.LG | 2026-08-28 |
| #42 | CASTANET: Causality-Aware Spatio-Temporal Adversarial Network Using Traffic Incident Effects | Toshiya Kitahara, Ryu Shirakami, Koh Takeuchi +1 | cs.AI | 2026-08-28 |
| #43 | Initialization Is Critical: Advancing Federated Short-Term Load Forecasting under Load Heterogeneity via Model Initialization | Jianing Chen, Vajiheh Farhadi, Yan Li +1 | cs.LG | 2026-08-28 |
| #44 | Diffusion Distillation for Efficient Weather Ensembles | Yiming Yang, Valentin Brekke, James Briant +1 | cs.LG | 2026-08-27 |
| #45 | STEP: State-Aware Task Estimation and Planning with Multi-Modal LLMs for Human-Robot Collaboration | Maitrey Gramopadhye, Prakash Baskaran, Xiao Liu +2 | cs.RO | 2026-08-27 |
| #46 | Multi-Person Human Motion Forecasting in Complex Scenes | Serdar Ozsoy, Lars Doorenbos, Juergen Gall | cs.CV | 2026-08-27 |
| #47 | A Multi-Modal AI Framework for Real-Time Queue Prediction, Management and Optimisation in Intelligent Border Control Systems | Varvara Mama, Eleni Veroni, Nikolaos Kapsalis +2 | cs.AI | 2026-08-27 |
| #48 | DSA: Evidence-Aware LLM-Agent Orchestration for Multi-Market Stock Research | Linsen Zhu, Yi Shi | cs.AI | 2026-08-27 |
| #49 | Climate Physics Dynamic Matching | Gurjeet Sangra Singh, Frantzeska Lavda, Alexandros Kalousis | stat.AP | 2026-08-27 |
| #50 | SAGE: Variate-Wise Semantic Augmentation for Vision-Language Time Series Forecasting | Haizhao Fan, Xinyi Le | cs.LG | 2026-08-27 |