Transformer和扩散模型引爆时序方向！

时空预测引领了新的热点，时间序列预测领域的首个大模型 TimeGPT 引起业界热议，Transformer+时序，扩散模型+时序更是顶会新方向大热“种子”选手，时序+多方向正在成为这个AI界瞩目的黑马！

本文整理了时间序列的 时序预测 / 时序-Transformer / 时序-大模型 / 时序-扩散四大方向 的最新论文204篇。

扫码回复 “时序” 领204篇论文合集

ICLR2024

ICML 2023

Learning Deep Time-index Models for Time S深度之眼整理eries Forecasting

KDD 2023

TSMixer: Lightweight MLP-Mixer Model fo深度之眼整理r Multivariate Time Series Forecasting

因篇幅有限 仅展示前5篇

扫码回复 “时序” 领204篇论文合集

1.iTransformer: InvertedTransformers Are Effective for Time Series Forecastina

2.Pathformer: Multi- Scale Transformers  With Adaptive Pathways For Time Series Forecasting

3.SCALEFORMER: ITERATIVE MULTI-SCALE REFINING TRANSFORMERS FOR TIME

SERIESFORECASTING

4.InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attentionfor Long Term Time Series Forecasting

5.ContiFormer: Continuous-Time Tansformer for Irreqular Time Series Modeling

因篇幅有限 仅展示前5篇

扫码回复 “时序” 领204篇论文合集

卷积神经网络方法(4种算法模型)

1.CNN

Recent advances in convolutional neural networks

2.WaveNet-CNN

Conditional time series forecasting with convolutional neural networks

3.Kmeans-CNN

Short-term load forecasting in smart grid: a combined CNN and K-means clustering approach

4.TCN

An empirical evaluation of generic convolutional and recurrent networks for sequence modeling

因篇幅有限 仅展示前4篇

循环神经网络方法 (3种算法模型）

1.RNN

Bidirectional recurrent neural networks

2.LSTM(长短期记忆网络)

Long short-term memory

3.GRU(门控循环单元)

Learning phrase representations using RNN encoder- decoder for statistical machine translation

Transformer方法(11种算法模型)

1.Transformer

Attention-based models for speech recognition

2.BERT

BERT: pre-training of deep bidirectional transformers for language understanding

3.AST

Adversarial sparse transformer for time series forecasting

4.Informer

Informer: beyond efficient transformer for long sequence time-series forecasting

因篇幅有限 仅展示部分

扫码回复 “时序” 领204篇论文合集

大模型处时间序列

1.基于Promtpt的方法

Leveraging Language Foundation Models for HumanMobility Forecasting

2.将时间序列进行离散化处理

AudioLM: a Language Modeling Approach to Audio Generation

3.时间序列-文本对齐代表论文

Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification

4.引入视觉信息

Leveraging Vision-Language Models for Granul深度之眼整理tar Market Change Prediction

5.大模型工具

Unleashing the Power of  Shared Label Structures for Human Activity Recognition

训练时间序列领域大模型

TimetGPT-1

扫码回复 “时序” 领204篇论文合集

针对目前的大热时序，我们请来了顶会审稿人 chichi老师在 5月29日晚20:00 解读 时空时序 大模型 预备知识+论文 。

课程大纲：

- 时序预测

- 大语言模型 for 时序

- LLM for time series 论文解读

- 核心代码

扫码解锁5月29日20:00

解读 时序大模型预备知识+论文