Long-term forecasting: research map
406 accepted papers on Long-term forecasting in Time series, from ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026), grouped into 2 clusters and 5 approaches. The busiest year so far is 2026.
Within Time series, its share grew from 27.2% in 2023–24 to 31.0% in 2025–26 (103 → 244 papers at ICML, NeurIPS, CVPR and AAAI, the venues with data for all four years).
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Approaches and key papers
graph · multivariate time · spatial · 287 papers
Approaches in this cluster:
- Attention for time series forecasting (123 papers)
Forecast long series with spectral, multi-scale and adaptive transformers and normalization. - Spatiotemporal forecasting models (77 papers)
Model time series with spatiotemporal graphs, convolutions, state-space and diffusion pretraining. - Graph-based multivariate forecasting (87 papers)
Forecast multivariate series by learning channel dependence with graph neural networks.
Most cited and most cited since 2024:
- Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting (AAAI 2021 · 7,037 citations)
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019 · 1,086 citations)
- iTransformer: Inverted Transformers Are Effective for Time Series Forecasting (ICLR 2024 · 385 citations)
- MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting (AAAI 2024 · 234 citations)
long term · term time · term forecasting · 119 papers
Approaches in this cluster:
- Lightweight long-term forecasters (94 papers)
Forecast long horizons with lean models exploiting periodicity, memory and mixing. - Transformers for long-term forecasting (25 papers)
Adapt transformers with patching, decomposition and sharpness-aware training for long-term forecasting.
Most cited and most cited since 2024:
- Are Transformers Effective for Time Series Forecasting? (AAAI 2023 · 3,150 citations)
- A Time Series is Worth 64 Words: Long-term Forecasting with Transformers (ICLR 2023 · 554 citations)
- TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting (ICLR 2024 · 93 citations)
- WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting (AAAI 2025 · 77 citations)