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 31–40 of 6748 papers

TitleStatusHype
LLM4CP: Adapting Large Language Models for Channel PredictionCode3
N-BEATS: Neural basis expansion analysis for interpretable time series forecastingCode3
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time SeriesCode3
Applications of Deep Neural Networks with KerasCode3
Greykite: Deploying Flexible Forecasting at Scale at LinkedInCode3
Adversarial Robustness Toolbox v1.0.0Code3
GluonTS: Probabilistic Time Series Models in PythonCode3
"Hey, that's not an ODE": Faster ODE Adjoints via SeminormsCode3
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series ForecastingCode3
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series ForecastingCode2
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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