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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–125 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
FITS: Modeling Time Series with 10k Parameters	Jul 6, 2023	Anomaly DetectionTime Series	CodeCode Available	2	5
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction	Jan 19, 2023	Computational EfficiencyGraph Neural Network	CodeCode Available	2	5
Learning Deep Time-index Models for Time Series Forecasting	Jul 13, 2022	Inductive BiasMeta-Learning	CodeCode Available	2	5
Deep learning for time series classification	Oct 1, 2020	Activity RecognitionClassification	CodeCode Available	2	5
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models	Aug 19, 2022	ImputationMissing Values	CodeCode Available	2	5
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting	Jun 24, 2021	Time SeriesTime Series Analysis	CodeCode Available	2	5
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting	Jan 28, 2021	Multivariate Time Series ForecastingProbabilistic Time Series Forecasting	CodeCode Available	2	5
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data	Jan 25, 2023	Causal DiscoveryCausal Inference	CodeCode Available	2	5
SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding	Nov 28, 2022	Time SeriesTime Series Analysis	CodeCode Available	2	5
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency	Jun 17, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	2	5
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks	Apr 13, 2017	Multivariate Time Series ForecastingProbabilistic Time Series Forecasting	CodeCode Available	2	5
Deep learning for time series classification: a review	Sep 12, 2018	Deep LearningGeneral Classification	CodeCode Available	2	5
Domino: Discovering Systematic Errors with Cross-Modal Embeddings	Mar 24, 2022	Representation LearningSlice Discovery	CodeCode Available	2	5
Synthcity: facilitating innovative use cases of synthetic data in different data modalities	Jan 18, 2023	FairnessIrregular Time Series	CodeCode Available	2	5
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting	Feb 3, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	2	5
Conformal prediction interval for dynamic time-series	Oct 18, 2020	Conformal PredictionEnsemble Learning	CodeCode Available	2	5
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data	Dec 16, 2024	Language ModelingLanguage Modelling	CodeCode Available	2	5
Closed-form Continuous-time Neural Models	Jun 25, 2021	FormSentiment Analysis	CodeCode Available	2	5
TODS: An Automated Time Series Outlier Detection System	Sep 18, 2020	Outlier DetectionTime Series	CodeCode Available	2	5
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting	Jun 18, 2022	Graph LearningGraph Neural Network	CodeCode Available	2	5
Harnessing Vision Models for Time Series Analysis: A Survey	Feb 13, 2025	SurveyTime Series	CodeCode Available	2	5
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey	Apr 21, 2020	BIG-bench Machine LearningDeep Learning	CodeCode Available	2	5
Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis	Aug 5, 2024	ClassificationEEG	CodeCode Available	1	5
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting	Sep 15, 2021	Decision MakingProbabilistic Time Series Forecasting	CodeCode Available	1	5
A biologically plausible neural network for Slow Feature Analysis	Oct 23, 2020	HippocampusTime Series	CodeCode Available	1	5

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All datasets PhysioNet Challenge 2012 Speech Commands Ventilator Pressure Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	naive classifier	F1	87.47	—	Unverified
2	GRU-D - APC (n = 1)	F1	27.3	—	Unverified
3	GRU-APC (n = 1)	F1	25.7	—	Unverified
4	GRU-D	F1	22.5	—	Unverified
5	GRU	F1	22.3	—	Unverified
6	GRU-Simple	F1	22.2	—	Unverified
7	GRU-Mean	F1	22.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepTr	% Test Accuracy	98.51	—	Unverified
2	ViT	% Test Accuracy	98.11	—	Unverified
3	FlexTCN-4	% Test Accuracy	97.73	—	Unverified
4	MatchboxNet	% Test Accuracy	97.4	—	Unverified
5	CKCNN (100k)	% Test Accuracy	95.27	—	Unverified
6	FlexTCN-6	% Test Accuracy (Raw Data)	91.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResBiLSTM	MAE	0.13	—	Unverified