FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

18 May 2022

Liang Sun

Papers citing "FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting"

42 / 42 papers shown

Title
Pets: General Pattern Assisted Architecture For Time Series Analysis Xiangkai Ma Xiaobin Hong Wenzhong Li Sanglu Lu AI4TS 116 0 0 19 Apr 2025
Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation Ye Su Hezhe Qiao Di Wu Yuwen Chen Lin Chen 50 0 0 03 Apr 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models Raeid Saqur Anastasis Kratsios Florian Krach Yannick Limmer Jacob-Junqi Tian John Willes Blanka Horvath Frank Rudzicz MoE 114 0 0 24 Feb 2025
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting Yuang Zhao Tianyu Li Jiadong Chen Shenrong Ye Fuxin Jiang Tieying Zhang Xiaofeng Gao AI4TS 393 0 0 26 Nov 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang Jiawei Li Xiaoming Shi Zhou Ye Baichuan Mo Wenze Lin Shengtong Ju Zhixuan Chu Ming Jin AI4TS 68 12 0 21 Oct 2024
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting Yuxuan Shu Vasileios Lampos AI4TS AI4CE 83 0 0 11 Jun 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning Peiyuan Liu Hang Guo Tao Dai Naiqi Li Jigang Bao Xudong Ren Yong Jiang Shu-Tao Xia AI4TS 95 19 0 12 Mar 2024
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Kun Yi Qi Zhang LongBing Cao Shoujin Wang Guodong Long Liang Hu Hui He ZhenDong Niu Wei Fan Hui Xiong AI4TS 98 23 0 04 Feb 2023
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Max Mergenthaler-Canseco A. Dubrawski AI4TS 61 268 0 30 Jan 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 179 1,357 0 30 Jan 2022
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 180 1,719 0 31 Oct 2021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers Albert Gu Isys Johnson Karan Goel Khaled Kamal Saab Tri Dao Atri Rudra Christopher Ré 95 574 0 26 Oct 2021
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 152 206 0 28 Sep 2021
H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences Zhenhai Zhu Radu Soricut 119 41 0 25 Jul 2021
Global Filter Networks for Image Classification Yongming Rao Wenliang Zhao Zheng Zhu Jiwen Lu Jie Zhou ViT 56 458 0 01 Jul 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 95 2,168 0 24 Jun 2021
FNet: Mixing Tokens with Fourier Transforms James Lee-Thorp Joshua Ainslie Ilya Eckstein Santiago Ontanon 84 522 0 09 May 2021
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention Yunyang Xiong Zhanpeng Zeng Rudrasis Chakraborty Mingxing Tan G. Fung Yin Li Vikas Singh 75 512 0 07 Feb 2021
Long Range Arena: A Benchmark for Efficient Transformers Yi Tay Mostafa Dehghani Samira Abnar Songlin Yang Dara Bahri Philip Pham J. Rao Liu Yang Sebastian Ruder Donald Metzler 112 706 0 08 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 458 40,217 0 22 Oct 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 433 2,355 0 18 Oct 2020
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 158 1,548 0 30 Sep 2020
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 82 502 0 17 Aug 2020
Linformer: Self-Attention with Linear Complexity Sinong Wang Belinda Z. Li Madian Khabsa Han Fang Hao Ma 179 1,678 0 08 Jun 2020
Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen Liang Sun Fan Yang Xiaomin Song Jing Gao Xue Wang Huan Xu AI4TS 53 642 0 27 Feb 2020
Sparse Sinkhorn Attention Yi Tay Dara Bahri Liu Yang Donald Metzler Da-Cheng Juan 63 336 0 26 Feb 2020
Reformer: The Efficient Transformer Nikita Kitaev Lukasz Kaiser Anselm Levskaya VLM 166 2,279 0 13 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 310 42,038 0 03 Dec 2019
Blockwise Self-Attention for Long Document Understanding J. Qiu Hao Ma Omer Levy Scott Yih Sinong Wang Jie Tang 72 252 0 07 Nov 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Shiyang Li Xiaoyong Jin Yao Xuan Xiyou Zhou Wenhu Chen Yu Wang Xifeng Yan AI4TS 67 1,404 0 29 Jun 2019
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio AI4TS 92 1,026 0 24 May 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting Rajat Sen Hsiang-Fu Yu Inderjit Dhillon AI4TS 85 350 0 09 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.2K 93,936 0 11 Oct 2018
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis Jingyuan Wang Ze Wang Jianfeng Li Junjie Wu AI4TS 32 192 0 23 Jun 2018
Learning Long Term Dependencies via Fourier Recurrent Units Jiong Zhang Yibo Lin Zhao Song Inderjit S. Dhillon 39 42 0 17 Mar 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 514 129,831 0 12 Jun 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 76 2,080 0 13 Apr 2017
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang G. Cottrell AI4TS 131 1,226 0 07 Apr 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 102 1,978 0 21 Mar 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 361 12,662 0 11 Dec 2014
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 153 5,318 0 21 Nov 2012