天气预报论文趋势 2023–2026

数值天气与 AI

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 356 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

天气预报论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
20231074526
2024291624877
2025372229795
202661345211158

代表论文

按年份和会议均匀挑选,方便快速看到每一届的样貌

全部天气预报论文

共 109 篇,第 1 / 3 页

  1. ICML 2026(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
  2. ICML 2026Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting
  3. ICML 2026Baguan-TS: dual in-context learning model for time series forecasting with covariates
  4. ICML 2026Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting
  5. ICML 2026Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting
  6. ICML 2026Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
  7. ICML 2026Byte Pair Encoding for Efficient Time Series Forecasting
  8. ICML 2026Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate Forecasting
  9. ICML 2026ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
  10. ICML 2026ClimateAR: Multi-Scale Autoregressive Generative Modeling for Climate Forecasting
  11. ICML 2026CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
  12. ICML 2026Crisp: A Spectral-Based Interaction Strategy for Multivariate Time Series Forecasting
  13. ICML 2026DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables
  14. ICML 2026Doubly Outlier-Robust Online Infinite Hidden Markov Model
  15. ICML 2026DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting
  16. ICML 2026DSENet: A Novel Dual-Stream Enhancement Network for Multi-Scale Non-Stationary Time Series Forecasting
  17. ICML 2026Ellipsoidal Time Series Forecasting
  18. ICML 2026EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting
  19. ICML 2026FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting
  20. ICML 2026FlowState: Sampling-Rate‑Equivariant Time‑Series Forecasting
  21. ICML 2026From Observations to States: Latent Time Series Forecasting
  22. ICML 2026From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space
  23. ICML 2026FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
  24. ICML 2026Global Merger-Arbitrage Forecasting with Language Models
  25. ICML 2026HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis
  26. ICML 2026Information Geometry Loss for Time Series Forecasting
  27. ICML 2026Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising
  28. ICML 2026L-Drive: Beyond a Single Mapping—Latent Context Drives Time Series Forecasting
  29. ICML 2026LagLLM: LLM-empowered lead–lag dependency learning for spatial-temporal time series forecasting
  30. ICML 2026Lightweight and Interpretable Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
  31. ICML 2026MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
  32. ICML 2026Nested Spatio-Temporal Time Series Forecasting
  33. ICML 2026Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation
  34. ICML 2026Overcoming the Modality Gap in Context-Aided Forecasting
  35. ICML 2026Parameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series Forecasting
  36. ICML 2026Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting
  37. ICML 2026PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
  38. ICML 2026PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting
  39. ICML 2026Reviving Error Correction in Modern Deep Time-Series Forecasting
  40. ICML 2026See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling
  41. ICML 2026SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement
  42. ICML 2026StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
  43. ICML 2026Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context
  44. ICML 2026The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting
  45. ICML 2026Time Series Forecasting Through the Lens of Dynamics
  46. ICML 2026TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables
  47. ICML 2026Transforming Weather Data from Pixel to Latent Space
  48. ICML 2026U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
  49. ICML 2026WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation
  50. ICML 2026What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查天气预报在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "weather-forecasting"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

常见问题

2023–2026 年四大会议一共有多少篇天气预报论文?
共 356 篇,按年份分别是 2023 年 26 篇、2024 年 77 篇、2025 年 95 篇、2026 年 158 篇。
NeurIPS 2026 有多少篇天气预报论文?
NeurIPS 2026 有 61 篇天气预报论文,上一届是 37 篇。
ICLR 2026 有多少篇天气预报论文?
ICLR 2026 有 34 篇天气预报论文,上一届是 22 篇。
ICML 2026 有多少篇天气预报论文?
ICML 2026 有 52 篇天气预报论文,上一届是 29 篇。
CVPR 2026 有多少篇天气预报论文?
CVPR 2026 有 11 篇天气预报论文,上一届是 7 篇。
哪个会议的天气预报论文最多?
NeurIPS,2023–2026 年共 137 篇。

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