BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis

31 October 2023

Hang Yu

Papers citing "BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis"

20 / 20 papers shown

Title
Strada-LLM: Graph LLM for traffic prediction Seyed Mohamad Moghadas Yangxintong Lyu Bruno Cornelis Alexandre Alahi Adrian Munteanu AI4TS 61 0 0 17 Feb 2025
Investigating Compositional Reasoning in Time Series Foundation Models Willa Potosnak Cristian Challu Mononito Goswami Kin G. Olivares Michał Wiliński Nina Żukowska Artur Dubrawski ReLM AI4TS LRM 48 0 0 09 Feb 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Yu Huang Chang Xu Yueying Wu Wu-Jun Li Jiang Bian DiffM 32 3 0 10 Jan 2025
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain Zhengnan Li Haoxuan Li Hao Wang Jun Fang Duoyin Li Yunxiao Qin AI4TS 174 0 0 02 Dec 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis Qiang Wu Gechang Yao Zhixi Feng Shuyuan Yang AI4TS 23 1 0 07 Nov 2024
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods Alexandru-Victor Andrei Georg Velev Filip-Mihai Toma Daniel Traian Pele Stefan Lessmann AI4TS 47 1 0 05 Nov 2024
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework Angela van Sprang Erman Acar Willem Zuidema AI4TS 48 1 0 08 Oct 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting Yuxin Jia Youfang Lin Jing Yu Shuo Wang Tianhao Liu Huaiyu Wan AI4TS 34 1 0 26 Sep 2024
EMIT- Event-Based Masked Auto Encoding for Irregular Time Series Hrishikesh Patel Ruihong Qiu Adam Irwin Shazia Sadiq Sen Wang AI4TS 30 1 0 25 Sep 2024
VE: Modeling Multivariate Time Series Correlation with Variate Embedding Shangjiong Wang Zhihong Man Zhengwei Cao Jinchuan Zheng Zhikang Ge AI4TS 30 1 0 10 Sep 2024
Hierarchical Classification Auxiliary Network for Time Series Forecasting Yanru Sun Zongxia Xie Dongyue Chen Emadeldeen Eldele Qinghua Hu AI4TS 53 3 0 29 May 2024
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction Kai Zhao Zuojie He A. Hung Dan Zeng AI4TS 49 1 0 26 May 2024
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer Wenyong Han Tao Zhu L. Chen Huansheng Ning Yang Luo Yaping Wan AI4TS 29 8 0 14 Mar 2024
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling Guoqi Yu Jing Zou Xiaowei Hu Angelica I. Aviles-Rivero Jing Qin Shujun Wang AI4TS 27 13 0 20 Feb 2024
FreDF: Learning to Forecast in the Frequency Domain Hao Wang Licheng Pan Zhichao Chen Degui Yang Sen Zhang Yifei Yang Xinggao Liu Haoxuan Li Dacheng Tao AI4TS 59 13 0 04 Feb 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators Lifan Zhao Yanyan Shen AI4TS AIFin 33 12 0 31 Jan 2024
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Kashif Rasul Arjun Ashok Andrew Robert Williams Hena Ghonia Rishika Bhagwatkar ... Nicolas Chapados Alexandre Drouin Valentina Zantedeschi Yuriy Nevmyvaka Irina Rish AI4TS BDL 21 42 0 12 Oct 2023
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting Tian Zhou Ziqing Ma Xue Wang Qingsong Wen Liang Sun Tao Yao Wotao Yin Rong Jin AI4TS 121 167 0 18 May 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi AI4TS 114 394 0 03 Feb 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,876 0 14 Dec 2020