Time Series Analysis

Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration AAAI 2022 Learning interacting dynamical systems with latent Gaussian process ODEs NeurIPS 2022 Learning Latent Seasonal-Trend Representations for Time Series Forecasting NeurIPS 2022 Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting AISTATS 2022 Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences AAAI 2022 LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data AAAI 2022 LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data JMLR 2022 Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors AAAI 2022 Modeling Irregular Time Series with Continuous Recurrent Units ICML 2022 Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders ACML 2022 Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks NeurIPS 2022 Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting NeurIPS 2022 NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space ACL 2022 Nystrom Regularization for Time Series Forecasting JMLR 2022 Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models NeurIPS 2022 Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS 2022 Predictive Whittle networks for time series UAI 2022 PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI 2022 Robust Probabilistic Time Series Forecasting AISTATS 2022 SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction NeurIPS 2022 Semantic Shift Stability: Efficient Way to Detect Performance Degradation of Word Embeddings and Pre-trained Language Models AACL 2022 Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates AISTATS 2022 SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss AAAI 2022 Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NeurIPS 2022 Towards a Rigorous Evaluation of Time-Series Anomaly Detection AAAI 2022