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Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

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Showing 1–25 of 6748 papers

TitleStatusHype
Revisiting PCA for time series reduction in temporal dimensionCode7
Foundation Models for Time Series Analysis: A Tutorial and SurveyCode7
TimesNet: Temporal 2D-Variation Modeling for General Time Series AnalysisCode6
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive AnalysisCode5
A Time Series is Worth 64 Words: Long-term Forecasting with TransformersCode5
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense MechanismsCode5
MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly DetectionCode5
On Neural Differential EquationsCode5
Timer: Generative Pre-trained Transformers Are Large Time Series ModelsCode4
Large Language Models for Time Series: A SurveyCode4
Large Models for Time Series and Spatio-Temporal Data: A Survey and OutlookCode4
TimeGPT-1Code4
Are Transformers Effective for Time Series Forecasting?Code4
Efficient Automated Deep Learning for Time Series ForecastingCode4
Transformers in Time Series: A SurveyCode4
Stock Price Prediction via Discovering Multi-Frequency Trading PatternsCode4
ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and ReasoningCode3
LLM4CP: Adapting Large Language Models for Channel PredictionCode3
TSI-Bench: Benchmarking Time Series ImputationCode3
TOTEM: TOkenized Time Series EMbeddings for General Time Series AnalysisCode3
Deep Learning for Multivariate Time Series Imputation: A SurveyCode3
ModernTCN: A Modern Pure Convolution Structure for General Time Series AnalysisCode3
The Rise of Diffusion Models in Time-Series ForecastingCode3
AER: Auto-Encoder with Regression for Time Series Anomaly DetectionCode3
Greykite: Deploying Flexible Forecasting at Scale at LinkedInCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47—Unverified
2GRU-D - APC (n = 1)F127.3—Unverified
3GRU-APC (n = 1)F125.7—Unverified
4GRU-DF122.5—Unverified
5GRUF122.3—Unverified
6GRU-SimpleF122.2—Unverified
7GRU-MeanF122.1—Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51—Unverified
2ViT% Test Accuracy98.11—Unverified
3FlexTCN-4% Test Accuracy97.73—Unverified
4MatchboxNet% Test Accuracy97.4—Unverified
5CKCNN (100k)% Test Accuracy95.27—Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73—Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13—Unverified