time series forecasting

A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract) AAAI 2022 Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future ICLR 2022 Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility ACML 2022 CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting AAAI 2022 Causal forecasting: generalization bounds for autoregressive models UAI 2022 Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts IJCAI 2022 CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting ICLR 2022 Darts: User-Friendly Modern Machine Learning for Time Series JMLR 2022 DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation AAAI 2022 Deciphering Environmental Air Pollution with Large Scale City Data IJCAI 2022 DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data IJCAI 2022 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting ICLR 2022 Domain Adaptation for Time Series Forecasting via Attention Sharing ICML 2022 Dynamic Manifold Learning for Land Deformation Forecasting AAAI 2022 FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting ICML 2022 FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting NeurIPS 2022 Forecasting Asset Dependencies to Reduce Portfolio Risk AAAI 2022 Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts NAACL 2022 Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy IJCAI 2022 Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement NeurIPS 2022 Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration AAAI 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 Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance AAAI 2022 LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data AAAI 2022