Time Series Analysis

Towards Transparent Time Series Forecasting ICLR 2024 Translation Equivariant Transformer Neural Processes ICML 2024 TSLANet: Rethinking Transformers for Time Series Representation Learning ICML 2024 U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting AAAI 2024 Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024 Unified Training of Universal Time Series Forecasting Transformers ICML 2024 Unsupervised Change Point Detection in Multivariate Time Series AISTATS 2024 Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis EACL 2024 Validating Climate Models with Spherical Convolutional Wasserstein Distance NeurIPS 2024 VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting IJCAI 2024 When are dynamical systems learned from time series data statistically accurate? NeurIPS 2024 When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection AAAI 2024 Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator COLING 2024 Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective NeurIPS 2023 A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors AAAI 2023 A dynamic model of lexical experience for tracking of oral reading fluency ACL 2023 An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks AAAI 2023 Are Transformers Effective for Time Series Forecasting? AAAI 2023 Automatic Integration for Spatiotemporal Neural Point Processes NeurIPS 2023 BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis NeurIPS 2023 Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability NeurIPS 2023 Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023 BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series NeurIPS 2023 Causal Discovery in Semi-Stationary Time Series NeurIPS 2023 Change point detection and inference in multivariate non-parametric models under mixing conditions NeurIPS 2023