time series

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series NeurIPS 2024 UniTS: A Unified Multi-Task Time Series Model NeurIPS 2024 Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights COLING 2024 Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis EACL 2024 When are dynamical systems learned from time series data statistically accurate? NeurIPS 2024 Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract) IJCAI 2023 A Method of Audio-Visual Person Verification by Mining Connections between Time Series Interspeech 2023 Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections ICLR 2023 Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect NeurIPS 2023 Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023 Causal Discovery for time series from multiple datasets with latent contexts UAI 2023 Causal Discovery from Subsampled Time Series with Proxy Variables NeurIPS 2023 Causal Discovery in Semi-Stationary Time Series NeurIPS 2023 Conformal Prediction for Time Series with Modern Hopfield Networks NeurIPS 2023 Context Consistency Regularization for Label Sparsity in Time Series ICML 2023 Contrastive Learning for Unsupervised Domain Adaptation of Time Series ICLR 2023 Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction IJCAI 2023 CUTS: Neural Causal Discovery from Irregular Time-Series Data ICLR 2023 Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths ICLR 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 Domain Adaptation for Time Series Under Feature and Label Shifts ICML 2023 Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency NeurIPS 2023 Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks NeurIPS 2023 Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders AAAI 2023