Effectively Modeling Time Series with Simple Discrete State Spaces

16 March 2023

Papers citing "Effectively Modeling Time Series with Simple Discrete State Spaces"

8 / 8 papers shown

Title
RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba Andong Lu Wanyu Wang Chenglong Li Jin Tang B. Luo Mamba 49 2 0 31 Dec 2024
Layer-Adaptive State Pruning for Deep State Space Models Minseon Gwak Seongrok Moon Joohwan Ko PooGyeon Park 25 0 0 05 Nov 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting Xiuding Cai Yaoyao Zhu Xueyao Wang Yu Yao Mamba AI4TS 27 7 0 26 May 2024
Focus Your Attention (with Adaptive IIR Filters) Shahar Lutati Itamar Zimerman Lior Wolf 21 9 0 24 May 2023
Simple Hardware-Efficient Long Convolutions for Sequence Modeling Daniel Y. Fu Elliot L. Epstein Eric N. D. Nguyen A. Thomas Michael Zhang Tri Dao Atri Rudra Christopher Ré 11 51 0 13 Feb 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 118 165 0 18 May 2022
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting Kiran Madhusudhanan Johannes Burchert Nghia Duong-Trung Stefan Born Lars Schmidt-Thieme AI4TS AI4CE 39 21 0 13 Oct 2021
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 164 3,799 0 14 Dec 2020