Time Series

Conditioning non-linear and infinite-dimensional diffusion processes NeurIPS 2024 Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration ICML 2024 Conformal prediction for multi-dimensional time series by ellipsoidal sets ICML 2024 Conformal Prediction Regions for Time Series Using Linear Complementarity Programming AAAI 2024 Consistent Long-Term Forecasting of Ergodic Dynamical Systems ICML 2024 Cross-Domain Contrastive Learning for Time Series Clustering AAAI 2024 Decoupled Invariant Attention Network for Multivariate Time-series Forecasting IJCAI 2024 Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting IJCAI 2024 DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching NeurIPS 2024 Demonstration Selection Strategies for Numerical Time Series Data-to-Text EMNLP 2024 Disentangling Domain and General Representations for Time Series Classification IJCAI 2024 Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing AAAI 2024 Equivariant Graph Neural Operator for Modeling 3D Dynamics ICML 2024 Event-Based Contrastive Learning for Medical Time Series MLHC 2024 eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NeurIPS 2024 Financial Forecasting from Textual and Tabular Time Series EMNLP 2024 Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024 Frequency-aware Generative Models for Multivariate Time Series Imputation NeurIPS 2024 From Similarity to Superiority: Channel Clustering for Time Series Forecasting NeurIPS 2024 G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes MLHC 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024 Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain? AAAI 2024 Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs AISTATS 2024 Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach ICML 2024 Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract) AAAI 2024