Time Series Analysis

Coherent Probabilistic Forecasting of Temporal Hierarchies AISTATS 2023 Computationally Assisted Quality Control for Public Health Data Streams IJCAI 2023 Context Consistency Regularization for Label Sparsity in Time Series ICML 2023 Deep Latent State Space Models for Time-Series Generation ICML 2023 DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series IJCAI 2023 Developmental Articulatory and Acoustic Features for Six to Ten Year Old Children Interspeech 2023 Differentiable Change-point Detection With Temporal Point Processes AISTATS 2023 Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting UAI 2023 Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting AAAI 2023 Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data IJCAI 2023 Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions ICML 2023 Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection NeurIPS 2023 eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract) AAAI 2023 EINNs: Epidemiologically-Informed Neural Networks AAAI 2023 Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders AAAI 2023 Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis EMNLP 2023 Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics JMLR 2023 Feature Programming for Multivariate Time Series Prediction ICML 2023 Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning NeurIPS 2023 FLIP: A Utility Preserving Privacy Mechanism for Time Series JMLR 2023 Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management IJCAI 2023 Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose AAAI 2023 ForecastPFN: Synthetically-Trained Zero-Shot Forecasting NeurIPS 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective NeurIPS 2023 Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NeurIPS 2023