Weather Forecasting papers, 2023–2026

Key findings

• Weather Forecasting went from 26 papers in 2023 to 158 in 2026, roughly 6.1x in three years.
• NeurIPS publishes the most Weather Forecasting work: 137 papers from 2023 to 2026, 38% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 1 in 2023 to 13 in 2026.
• Among the 5 topics under Climate and Physical Sciences, it ranks #2 by 2026 paper count; the fastest grower in the group, Scientific Simulation, is up 4.3x versus 6.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026AdaST: Adaptive Coupling for Spatial-Temporal Forecasting
• ICML 2026Doubly Outlier-Robust Online Infinite Hidden Markov Model
• ICLR 2026ARFlow: Auto-regressive Optical Flow Estimation for Arbitrary-Length Videos via Progressive Next-Frame Forecasting
• CVPR 2026NimbusGS Unified 3D Scene Reconstruction under Hybrid Weather
• NeurIPS 2025DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
• ICML 2025Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting
• ICLR 2025CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
• CVPR 2025Continuous Adverse Weather Removal via Degradation-Aware Distillation
• NeurIPS 2024Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
• ICML 2024Conformalized Adaptive Forecasting of Heterogeneous Trajectories
• ICLR 2024ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
• CVPR 2024HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
• NeurIPS 2023SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
• ICML 2023ClimaX: A foundation model for weather and climate
• ICLR 2023Compressing multidimensional weather and climate data into neural networks
• CVPR 2023Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting
• NeurIPS 2026AirMPA: A Meteorology-to-Pollution Adapter for Global Air Quality Forecasting
• ICML 2026Lightweight and Interpretable Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
• ICLR 2026TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State
• CVPR 2026STCast Adaptive Boundary Alignment for Global and Regional Weather Forecasting

All Weather Forecasting papers

109 papers, page 1 of 3

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

FAQ

How many Weather Forecasting papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

356 in total: 26 in 2023, 77 in 2024, 95 in 2025, 158 in 2026.

How many Weather Forecasting papers are at NeurIPS 2026?

NeurIPS 2026 has 61 Weather Forecasting papers, versus 37 the year before.

How many Weather Forecasting papers are at ICLR 2026?

ICLR 2026 has 34 Weather Forecasting papers, versus 22 the year before.

How many Weather Forecasting papers are at ICML 2026?

ICML 2026 has 52 Weather Forecasting papers, versus 29 the year before.

How many Weather Forecasting papers are at CVPR 2026?

CVPR 2026 has 11 Weather Forecasting papers, versus 7 the year before.

Which conference publishes the most Weather Forecasting papers?

NeurIPS, with 137 papers from 2023 to 2026.