| 1 | Soil Moisture Estimation in Precision Agriculture: A Knowledge Distillation Approach | Mohammed Rakib, Vrinda Nagula, Arunkumar Bagavathi | cs.CV | 2026-10-29 |
| 2 | IMPACT: Inverter-Informed Multimodal Learning for Photovoltaic Generation Forecasting | Anushka Katiyar, Cong Feng, Jing Wang +3 | cs.LG | 2026-10-29 |
| 3 | Multistep and Multivariate Time Series Explainability with GradientSHAP: A Wind Power Case Study | Robbie Southam, Zhong Fan, Ke Li | cs.AI | 2026-10-29 |
| #4 | FARE: Factor-Aware Retrieval with Error-Guided Fusion for Retail Forecasting | Chenghao Gu, Zhuokang Shen, Shenghao Wu +3 | cs.LG | 2026-10-29 |
| #5 | A Deep Learning Framework for Quantile Demand Forecasting in E-commerce with Doubly Censored Data | Ziwen Ye, Jiawen Wei, Teng Song +2 | cs.LG | 2026-10-29 |
| #6 | Observability-Aligned Evidential Masked Pretraining for Reliable VRU Motion Prediction | Shang Gao, Franz Götz-Hahn, Konrad Doll +1 | cs.LG | 2026-10-29 |
| #7 | Data-driven Random-feature Approximation of Koopman Generators of Nonlinear Continuous-time Systems | Ana Čukarska, Maximilian Gollwitzer, Viola Muning Li +3 | cs.LG | 2026-10-29 |
| #8 | Learning Kolmogorov Backward Operators for Spectral Analysis and Forecasting: A Data-Driven Variational Galerkin Framework | Yuanchao Xu, Claire Valva, Ben Gao +1 | math.DS | 2026-10-29 |
| #9 | IMRouter: Imbalance-aware Temporal Pattern Routing for LLM-based Time Series Forecasting | Xin Yang, Cai Xu, Haishun Chen +4 | cs.LG | 2026-10-29 |
| #10 | Modular Bayesian Foundation Models: Bayesian time series encoders for OOD detection, routing and forecasting | Mame Diarra Toure, Quang Hung Pham, Mohamed Ryad Zemouri +3 | stat.ML | 2026-10-28 |
| #11 | The Utility of Physics-Informed Machine Learning in Solar Power Production Forecasting | Peter Pavlík, Franz M. Rohrhofer, Bernhard C. Geiger | cs.LG | 2026-10-28 |
| #12 | Discovery of Diverse and Realistic Financial Tail-Risk Using Generative Flow Networks | Adir Serruya, Gilad Katz | cs.LG | 2026-10-28 |
| #13 | Skillful and realistic precipitation forecasting with reinforced diffusion | Ozan Sener, Anand Avati, David Hafner +7 | cs.LG | 2026-10-28 |
| #14 | On the Generalization Gap of Streaming Federated Learning with Markovian Data | Masoud Kavian, Milad Sefidgaran, Youssef Attia El Hili +2 | cs.LG | 2026-10-28 |
| #15 | REVBRAIN: Real-time Probabilistic EEG Forecasting Using Residual Vector Quantization | Hanna Pankka, Jaakko Lehtinen, Timo Roine | cs.LG | 2026-10-28 |
| #16 | Vision-Based Density Estimation for Adaptive Traffic Control | Mohammad Usaid, Deepak Silaych, Hrithik Mhatre +1 | cs.CV | 2026-10-28 |
| #17 | Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future? | Huangfei Jiang, Anning Hu, Kai Sheng +7 | cs.AI | 2026-10-28 |
| #18 | LLM-PowerTrace: A Dataset of Time-Resolved GPU Power Traces for AI Compute | Jiansheng Wang, Jaskeerat Singh, Haochen Xu +6 | eess.SY | 2026-10-28 |
| #19 | EPSBench: Benchmarking LLM Agents for Earnings Forecasting | Yanbin Yin, Chuyu Xu, Liqin Ye +2 | cs.CL | 2026-10-28 |
| #20 | Vendster: An Evaluation Arena to Investigate How Forecasting Tool Quality Affects LLM Agent Behaviors in Buyer-Vendor Negotiation | Charin Polpanumas | cs.GT | 2026-10-28 |
| #21 | FACTS-MAS: A Multi-Agent Architecture for Adaptive Forecasting from Heterogeneous Evidence | Madumita Karthikeyan, Umang Rajnikant Bid, Rong Pan | cs.AI | 2026-10-28 |
| #22 | RainCheck: Harnessing Historical Weather Data with Machine Learning for Rainfall Forecasting in Bangladesh | Shahran Rahman Alve, Muhammad Zawad Mahmud, Samiha Islam +1 | cs.LG | 2026-10-28 |
| #23 | From Next Day Wildfire to Next Days Wildfire: A New Multi-Continent Dataset of Active-Fire Spread for Sequence-to-Sequence Forecasting | Jose Guillen, Renzo Zanca, Valentin Barriere | cs.CV | 2026-10-28 |
| #24 | CADENCE: Distributional Next-Transaction Forecasting for Business Cash-Flow Underwriting | Alexander Wu, Jingchao Huang | cs.LG | 2026-10-27 |
| #25 | Measuring Deep Learning Performance - An Empirical Study of Performance Distributions Across Architectures and Tasks | Kevin L Coakley, Odd Erik Gundersen | cs.LG | 2026-10-27 |
| #26 | Self-Supervised Latent Action-Conditioned World Modeling for Time Series | Chia-Han Kuo, Chengshuai Zhao, Huan Liu +1 | cs.LG | 2026-10-27 |
| #27 | Machine learning applications in the heliosphere | Vishal Upendran, Banafsheh Ferdousi | astro-ph.SR | 2026-10-27 |
| #28 | Generative modeling for fusion: a large-scale benchmark of stellarator fast-ion simulations | Misha Padidar, Teresa Huang, Mark Goldstein +2 | cs.LG | 2026-10-27 |
| #29 | Perceiving and Predicting Dynamic Sports: Spatiotemporal Intelligence in Vision Models for Egocentric Tennis Video | Tudor Braicu, Joseph DelPreto, Jared Boyer +4 | cs.CV | 2026-10-27 |
| #30 | GAS-PFN: Graph-Aware Spatiotemporal Prior-Data Fitted Networks for Zero-Shot Traffic Forecasting | Joseph Natter, Long Vu, Yifan Zhang +3 | cs.LG | 2026-10-27 |
| #31 | Timestral | Adrien Petralia, Alexandre Gavaudan, Artjom Joosen +353 | cs.AI | 2026-10-27 |
| #32 | Pneuma: A Large-Scale Real-World Time Series Benchmark for Commercial Aircraft Predictive Maintenance | Jiafeng Lin, Yutian Zhang, Huan Zhang +5 | cs.LG | 2026-10-27 |
| #33 | Selective Transfer Learning for Groundwater Level Anomaly Forecasting: Accuracy-Risk Trade-offs | Yaxuan Wu, Ali Mohammed Mansoor Alsahag, Seyed Sahand Mohammadi Ziabari | cs.LG | 2026-10-27 |
| #34 | Physics-Guided Flow Matching: A Generative AI Framework for Global Total Electron Content Forecasting | Si-Tong Yang, Feng Ye, Xian Lu +2 | cs.LG | 2026-10-27 |
| #35 | Meta Models: Models that Model Learning | Peihang Li, Ziming Liu | cs.LG | 2026-10-27 |
| #36 | RankFormer: Rethinking Time Series Transformers through Representation Capacity Analysis and Progressive Decoding | Peiwang Tang, Cheng HE, Xijie Liang +1 | cs.LG | 2026-10-27 |
| #37 | Deep Bayesian Approaches for Interpretable Nonlinear Structural System Identification | Wei Liu, Konstantinos Vlachas, Eleni Chatzi | cs.LG | 2026-10-27 |
| #38 | Learning from Points and Patches: A Pre-trained Hybrid Attention Transformer for Time Series Analysis | Peiwang Tang, Cheng HE, Yupeng Ye +3 | cs.LG | 2026-10-27 |
| #39 | ATEMPO: Amortized Transfer Entropy Model Per-lag Over-Time | Emma Andrews, Konstantinos Kontras, Keane Ong +2 | cs.AI | 2026-10-27 |
| #40 | FORESEE-MS: Toward Prospective Spatial Forecasting of Future Multiple Sclerosis Lesions from Baseline FLAIR MRI | Maryam Akhavan Aghdam, Sudip Mittal, Noorbakhsh Amiri Golilarz +1 | cs.CV | 2026-10-27 |
| #41 | SpecLST: Spectral-Enhanced Long-Short Term Spatio-Temporal Multimodal Modeling for Traffic Forecasting | Kenan Kang, Matthew M. Y. Kuo, Weihua Li | cs.LG | 2026-10-26 |
| #42 | GNN-VIEW: Visual Inspection and Explanation of Graph-based Earth-System Models | Alessandro Lucatelli, Ferdinand Unterhuber, Katharina Krenzer +4 | cs.LG | 2026-10-26 |
| #43 | Explainable Prediction of High-Speed Solar Wind Streams driven by Coronal Holes via Topological Data Analysis | Francesco Marchetti, Sabrina Guastavino, Daniel Collin | astro-ph.SR | 2026-10-26 |
| #44 | Efficient probabilistic weather forecasting at quarter-degree resolution with two-sided transport attention | Junu Choi, Youngjoon Hong | cs.LG | 2026-10-26 |
| #45 | AdaTrendLike: Adaptive Hierarchical Detrending and Trend Likelihood Scoring for Time Series Anomaly Detection | Van Kwan Zhi Koh, Songnan Lin, Rongmo Luo +2 | cs.AI | 2026-10-26 |
| #46 | Beyond Wasserstein Proximity: Finding Better Transfer Sources | Gordei Verbii, Georgii Killinkarov, Vladimir Yafarov | stat.ML | 2026-10-26 |
| #47 | AgenticCity-Bench: Longitudinal Multimodal Observations of Urban Dynamics with Agentic Reasoning | Xiaofei Yu, Kailai Sun, Yanyu Mao +7 | cs.AI | 2026-10-26 |
| #48 | Thermal-Headroom Routing for Efficient Robot Perception in Extreme Heat | Sparsh Roy, Kevin Zhou, Arhaan Shah +4 | cs.RO | 2026-10-26 |
| #49 | STeP-TS: Shared Temporal Filters with Pruning for Time Series | Hanne Raum, Jasper Hoffmann, Joschka Boedecker | cs.LG | 2026-10-26 |
| #50 | Toward Fast Human Reaction Modeling from High-Frequency Digital Interaction Data | Emanuel Dopater, Daniel Gavlas, Lukáš Jochymek +7 | cs.AI | 2026-10-26 |