Time Series Forecasting

April 29, 2024

CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
Han Zhou, Yuntian Chen
Time Series Forecasting Multivariate Time Series Forecasting Time Series Prediction Cross Inferential Network
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting
Gareth Davies
Time Series Forecasting LSTM Network Relevant Covariates Multivariate Approach Autoregressive Neural Network RNN Architecture Time Varying Covariates

April 27, 2024

Generalization capabilities and robustness of hybrid machine learning models grounded in flow physics compared to purely deep learning models
Rodrigo Abadía-Heredia, Adrián Corrochano, Manuel Lopez-Martin, Soledad Le Clainche
Deep Learning Model Time Series Forecasting Autoregressive Model Fluid Dynamic Hybrid Approach Modal Analysis Flow Dynamic

April 25, 2024

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark
Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko
New Benchmark Time Series Time Series Forecasting Comprehensive Taxonomy Time Series Feature

April 24, 2024

Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting
Aobo Liang, Xingguo Jiang, Yan Sun, Xiaohou Shi, Ke Li
Deep Learning Model Time Series Forecasting State Space Model Long Term Time Series Forecasting Multi Modal Mamba Twister Block Efficient Relation Rotation Inter Series

April 23, 2024

April 16, 2024

Intriguing Properties of Positional Encoding in Time Series Forecasting
Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng, Fuchun Sun, Hui Xiong
Time Series Forecasting Positional Encoding Intriguing Property Temporal Positional Encoding Branch Transformer

April 9, 2024

The impact of data set similarity and diversity on transfer learning success in time series forecasting
Claudia Ehrig, Benedikt Sonnleitner, Ursula Neumann, Catherine Cleophas, Germain Forestier
Transfer Learning Raw Data Time Series Forecasting Formality Transfer High Similarity Diversity Awareness Source Target

March 31, 2024

From Similarity to Superiority: Channel Clustering for Time Series Forecasting
Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
Zero Shot Time Series Time Series Forecasting High Similarity Short Term Forecasting Complex Time Series

March 29, 2024

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
Time Series Forecasting Multivariate Time Series Forecasting Univariate Time Series Forecasting Forecasting Method Fairness Benchmark Time Series Forecasting Method

March 26, 2024

D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting
Xiaobing Yuan, Ling Chen
Time Series Forecasting Frequency Domain Temporal Pattern Frequency Feature Decomposition Method

March 21, 2024

An Analysis of Linear Time Series Forecasting Models
William Toner, Luke Darlow
General Analysis Time Series Forecasting Model Generalization Linear Model Model Architecture Linear Forecasting

March 17, 2024

March 13, 2024

Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting
Guy P Nason, James L. Wei
Transformer Model Time Series Forecasting Wavelet Based Discrete Wavelet Transform Univariate Time Series Forecasting Wavelet Analysis

March 12, 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
Large Language Model Time Series Forecasting Cross Modal Multimodal LLM Modal Fine Tuning

March 9, 2024

$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song
Medical LLM Time Series Forecasting Pre Trained Large Language Model Temporal Embeddings LLM Model Semantic Prompt Semantic Aware

March 7, 2024

Papers

CVTN: Cross Variable and Temporal Integration for Time Series Forecasting

Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting

Generalization capabilities and robustness of hybrid machine learning models grounded in flow physics compared to purely deep learning models

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark

Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting

Using ARIMA to Predict the Expansion of Subscriber Data Consumption

Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting

Intriguing Properties of Positional Encoding in Time Series Forecasting

The impact of data set similarity and diversity on transfer learning success in time series forecasting

From Similarity to Superiority: Channel Clustering for Time Series Forecasting

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting

An Analysis of Linear Time Series Forecasting Models

Is Mamba Effective for Time Series Forecasting?

From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting

Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting

Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting

RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting