mlsanityData to 14 Oct 2026

TimeFound: A Foundation Model for Time Series Forecasting

arXiv 2503.04118 ↗First posted 6 Mar 2025cs.LGcited by 4

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Abstract (arXiv)

We present TimeFound, an encoder-decoder transformer-based time series foundation model for out-of-the-box zero-shot forecasting. To handle time series data from various domains, TimeFound employs a multi-resolution patching strategy to capture complex temporal patterns at multiple scales. We pre-train our model with two sizes (200M and 710M parameters) on a large time-series corpus comprising both real-world and synthetic datasets. Over a collection of unseen datasets across diverse domains and forecasting horizons, our empirical evaluations suggest that TimeFound can achieve superior or competitive zero-shot forecasting performance, compared to state-of-the-art time series foundation models.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 31 of its 43 references that are in the map. First posted on arXiv 6 Mar 2025.

Builds on

31 of 43 references.

References · 31

  1. 2017Attention Is All You Needcited by 60,361
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2020Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecastingcited by 2,169
  4. 2022A Time Series is Worth 64 Words: Long-term Forecasting with Transformerscited by 2,039
  5. 2018An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modelingcited by 1,476
  6. 2022Are Transformers Effective for Time Series Forecasting?cited by 1,424
  7. 2022FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecastingcited by 1,210
  8. 2022TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysiscited by 1,058
  9. 2017DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networkscited by 1,013
  10. 2024Chronos: Learning the Language of Time Seriescited by 759
  11. 2019N-BEATS: Neural basis expansion analysis for interpretable time series forecastingcited by 753
  12. 2023Time-LLM: Time Series Forecasting by Reprogramming Large Language Modelscited by 700
19 more
  1. 2023A decoder-only foundation model for time-series forecastingcited by 692
  2. 2023One Fits All:Power General Time Series Analysis by Pretrained LMcited by 632
  3. 2024Unified Training of Universal Time Series Forecasting Transformerscited by 614
  4. 2023Large Language Models Are Zero-Shot Time Series Forecasterscited by 500
  5. 2024MOMENT: A Family of Open Time-series Foundation Modelscited by 482
  6. 2023Long-term Forecasting with TiDE: Time-series Dense Encodercited by 332
  7. 2024Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Expertscited by 287
  8. 2021Monash Time Series Forecasting Archivecited by 267
  9. 2024Foundation Models for Time Series Analysis: A Tutorial and Surveycited by 239
  10. 2017A Multi-Horizon Quantile Recurrent Forecastercited by 211
  11. 2024Timer: Generative Pre-trained Transformers Are Large Time Series Modelscited by 208
  12. 2021AutoFormer: Searching Transformers for Visual Recognitioncited by 188
  13. 2019Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecastingcited by 161
  14. 2023TimeGPT-1cited by 158
  15. 2023ForecastPFN: Synthetically-Trained Zero-Shot Forecastingcited by 104
  16. 2024Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecastingcited by 104
  17. 2022Spatio-Temporal Self-Supervised Learning for Traffic Flow Predictioncited by 77
  18. 2022SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022cited by 21
  19. 2024DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecastingcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

  1. 2026TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series Reasoningcited by 5
  2. 2025Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Modelscited by 1
  3. 2025Foundation Model Forecasts: Form and Functioncited by 0
  4. 2026TimeBraid: Unifying Time Series and Language for Understanding and Forecastingcited by 0