SOTAVerified

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

Showing 4150 of 6748 papers

TitleStatusHype
How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and OutlookCode2
Harnessing Vision Models for Time Series Analysis: A SurveyCode2
JANA: Jointly Amortized Neural Approximation of Complex Bayesian ModelsCode2
Flowformer: Linearizing Transformers with Conservation FlowsCode2
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementCode2
ETSformer: Exponential Smoothing Transformers for Time-series ForecastingCode2
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series ForecastingCode2
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based ReconciliationCode2
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series ForecastingCode2
FITS: Modeling Time Series with 10k ParametersCode2
Show:102550
← PrevPage 5 of 675Next →

Benchmark Results

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