Time Series

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM EMNLP 2023 Directed Chain Generative Adversarial Networks ICML 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 Domain Adaptation for Time Series Under Feature and Label Shifts ICML 2023 ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract) AAAI 2023 Exploring Context-Aware Evaluation Metrics for Machine Translation EMNLP 2023 FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023 Feature Programming for Multivariate Time Series Prediction ICML 2023 FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space 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 Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data JMLR 2023 Gaussian processes at the Helm(holtz): A more fluid model for ocean currents ICML 2023 GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces NeurIPS 2023 InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting AAAI 2023 Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling AAAI 2023 Learning Deep Time-index Models for Time Series Forecasting ICML 2023 Learning to Decouple Complex Systems ICML 2023 Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer IJCAI 2023 MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection NeurIPS 2023 Merlion: End-to-End Machine Learning for Time Series JMLR 2023 Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams AAAI 2023 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023 Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling NeurIPS 2023