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Time Series Analysis

826 directly classified papers

Papers per year

Papers

WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting NIPS 2022
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts NAACL 2022
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting NIPS 2022
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification IJCAI 2022
Interval-censored Hawkes processes JMLR 2022
Change point localization in dependent dynamic nonparametric random dot product graphs JMLR 2022
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement NIPS 2022
Learning Latent Seasonal-Trend Representations for Time Series Forecasting NIPS 2022
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning IJCAI 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification NIPS 2022
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs NIPS 2022
Closed-Form Diffeomorphic Transformations for Time Series Alignment ICML 2022
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting ICML 2022
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts IJCAI 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting NIPS 2022
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes ICML 2022
Dynamic Sparse Network for Time Series Classification: Learning What to “See” NIPS 2022
Finding Scientific Topics in Continuously Growing Text Corpora COLING 2022
An Empirical Study of Topic Transition in Dialogue COLING 2022
Interpretable Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings JMLR 2022
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data JMLR 2022
EasySM: A Data-Driven Intelligent Decision Support System for Server Merge AAAI 2022
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI 2022
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting AISTATS 2022
Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS 2022