RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series
Tasks

RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks

17 January 2024

F. Richard Yu

Papers citing "RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks"

17 / 17 papers shown

Title
DREMnet: An Interpretable Denoising Framework for Semi-Airborne Transient Electromagnetic Signal Shuang Wang Ming Guo X. Wang Fei Deng Lifeng Mao Bin Wang Wenlong Gao 46 0 0 28 Mar 2025
MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series Forecasting Liang Yu Lai Tu Xiang Bai AI4TS 49 0 0 11 Mar 2025
BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling Li weile Liu Xiao 53 1 0 08 Mar 2025
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation Omkar Kulkarni Rohitash Chandra CML AI4TS BDL 22 0 0 01 Oct 2024
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns Shengsheng Lin Weiwei Lin Xinyi Hu Wentai Wu Ruichao Mo Haocheng Zhong AI4TS 12 13 0 27 Sep 2024
Test Time Learning for Time Series Forecasting Panayiotis Christou Shichu Chen Xupeng Chen Parijat Dube AI4TS 21 0 0 21 Sep 2024
FlexAttention for Efficient High-Resolution Vision-Language Models Junyan Li Delin Chen Tianle Cai Peihao Chen Yining Hong Zhenfang Chen Yikang Shen Chuang Gan VLM 54 4 0 29 Jul 2024
VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models Haowen Hou Peigen Zeng Fei Ma Fei Richard Yu VLM 24 0 0 19 Jun 2024
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting Jiaxi Hu Disen Lan Ziyu Zhou Qingsong Wen Yuxuan Liang AI4TS 32 7 0 25 May 2024
State Space Model for New-Generation Network Alternative to Transformers: A Survey Xiao Wang Shiao Wang Yuhe Ding Yuehang Li Wentao Wu ... Bowei Jiang Chenglong Li Yaowei Wang Yonghong Tian Jin Tang Mamba 31 48 0 15 Apr 2024
A Survey on Multimodal Wearable Sensor-based Human Action Recognition Jianyuan Ni Hao Tang Syed Tousiful Haque Yan Yan A. Ngu 61 5 0 14 Apr 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey Yuxuan Liang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen AI4TS AI4CE 81 108 0 21 Mar 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective Jiaxi Hu Yuehong Hu Wei Chen Ming Jin Shirui Pan Qingsong Wen Yuxuan Liang AI4TS 25 8 0 18 Feb 2024
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl J. R. Anaraki Lei Guo BDL AI4TS 8 9 0 22 Dec 2023
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures T. Zhang Yizhuo Zhang Wei Cao Jiang Bian Xiaohan Yi Shun Zheng Jian Li BDL AI4TS 95 145 0 04 Jul 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 161 3,799 0 14 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020