Codesota · Papers453 papers · 16 shown
Editorial · Papers
Papers, with their scores.
Every paper on this page has at least one benchmark result we've recorded against it — title, abstract, code link, paper link, and a direct cross-link to the leaderboard position that score earned. Sorted by the most recently-updated benchmark result first.
This is the Codesota replacement for the Papers With Code discovery feed. If a paper has no verified benchmark result yet it won't appear here — that's the point.
§ 01 · Time Series papers
16 papers in Time Series.
Sundial: A Family of Highly Capable Time Series Foundation Models
Siqi Liu, Yujing Wang, Yuyao Zhangarxiv ↗no code linkLMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting
Md Mahmudul Islam, Md Shaad Mahmudarxiv ↗no code linkTimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Tian et al.TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu et al.Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu et al.iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Yong Liu, Tengge Hu, Haoran Zhang, Ling Jin et al.iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Yong Liu, Tengge Hu, Haoran Zhang, Ling Jin et al.Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur et al.arxiv ↗no code linkA Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant KalagnanamTimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou et al.Are Transformers Effective for Time Series Forecasting?
Ailing Zeng, Muxi Chen, Lei Zhang, Qiang XuN-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramirez et al.FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang et al.arxiv ↗no code linkAutoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng LongN-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio
Missing a paper? Submit it with its benchmark scores and we'll add it. Papers without any verified benchmark results are not shown — this is intentional.