Time Series Analysis

FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning AAAI 2023 GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints ICLR 2023 Graph Switching Dynamical Systems ICML 2023 Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context NeurIPS 2023 Inference for mark-censored temporal point processes UAI 2023 InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting AAAI 2023 Intrinsic Persistent Homology via Density-based Metric Learning JMLR 2023 KeFVP: Knowledge-enhanced Financial Volatility Prediction EMNLP 2023 Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors NeurIPS 2023 Latent Processes Identification From Multi-View Time Series IJCAI 2023 Learning Deep Time-index Models for Time Series Forecasting ICML 2023 Learning Gaussian Mixture Representations for Tensor Time Series Forecasting IJCAI 2023 Learning Hidden Markov Models Using Conditional Samples COLT 2023 Learning Perturbations to Explain Time Series Predictions ICML 2023 Learning the Dynamics of Sparsely Observed Interacting Systems ICML 2023 Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer IJCAI 2023 Low Tree-Rank Bayesian Vector Autoregression Models JMLR 2023 Merlion: End-to-End Machine Learning for Time Series JMLR 2023 Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean NeurIPS 2023 MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series AAAI 2023 Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion ICML 2023 Modeling the Impact of Policy Interventions for Sustainable Development IJCAI 2023 Multi-microphone Automatic Speech Segmentation in Meetings Based on Circular Harmonics Features Interspeech 2023 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023 Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data JMLR 2023