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Favourite Papers

Transformer-related Papers Year
1 Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer 2023
2 Financial Time Series Forecasting using CNN and Transformer 2023
3 Time Series Forecasting with Transformer Models and Application to Asset Management 2023
4 Incorporating Transformers and Attention Networks for Stock Movement Prediction 2023
5 A Financial Time-Series Prediction Model Based on Multiplex Attention and Linear Transformer Structure 2023
6 Probabilistic Decomposition Transformer for Time Series Forecasting 2023
7 Crossformer: Transformer Utilizing Crossdimension Dependency For Multivariate Time Series Forecasting 2023
8 Transformers in Time Series: A Survey 2022
9 FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting 2022
10 PYRAFORMER: LOW-COMPLEXITY PYRAMIDAL ATTENTION FOR LONG-RANGE TIME SERIES MODELING AND FORECASTING 2022
11 ETSformer: Exponential Smoothing Transformers for Time-series Forecasting 2022
12 TCCT: Tightly-coupled convolutional transformer on time series forecasting 2022
13 Spatial-Temporal Convolutional Transformer Network for Multivariate Time Series Forecasting 2022
14 Are Transformers Effective for Time Series Forecasting? 2022
15 Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting 2022
16 A Time Series is Worth 64 Words: Long-term Forecasting with Transformers 2022
17 A Convolutional Transformer Model for Multivariate Time Series Prediction 2022
18 Time-series Transformer Generative Adversarial Networks 2022
19 Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting 2021
20 Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting 2021
21 Gated Transformer Networks for Multivariate Time Series Classification 2021
22 A Transformer-based Framework for Multivariate Time Series Representation Learning Transformer-based Framework for Multivariate Time Series Representation Learning 2021
23 Temporal Fusion Transformers for interpretable multi-horizon time series forecasting 2021
24 Conformal Time-Series Forecasting 2021
25 Probabilistic Transformer for Time Series Analysis 2021
26 A Transformer Self-Attention Model for Time Series Forecasting 2021
27 Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case 2020
28 Adversarial Sparse Transformer for Time Series Forecasting 2020
29 Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting 2019
Other Papers Year
1 Adaptability of Financial Time Series Prediction Based on BiLSTM 2022
2 Canonical convolutional neural networks 2022
3 Time-series forecasting with deep learning: a survey 2021
4 Time Series Analysis Models with Trends 2021
5 A Labeling Method for Financial Time Series Prediction Based on Trends 2020
6 AT-LSTM: An Attention-based LSTM Model for Financial Time Series Prediction 2019
7 Financial Series Prediction: Comparison Between Precision of Time Series Models and Machine Learning Methods 2017

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