conftrace_

time series forecasting

364 papers

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Also known as

TSF

Co-occurring keywords

multivariate time series (139) deep learning (2118) attention mechanism (4001) large language model (13587) time series (435) graph neural network (3962) probabilistic forecasting (45) representation learning (6206) neural network (6616) transformer architecture (1560)

Papers

Online Forecasting of Total-Variation-bounded Sequences NIPS 2019
Identifying Predictive Causal Factors from News Streams EMNLP 2019
Predicting Hurricane Trajectories Using a Recurrent Neural Network AAAI 2019
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems IJCAI 2019
GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction IJCAI 2019
On Asymptotic and Finite-Time Optimality of Bayesian Predictors JMLR 2019
Foundations of Sequence-to-Sequence Modeling for Time Series AISTATS 2019
Forecasting Intra-Hour Imbalances in Electric Power Systems AAAI 2019
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data AAAI 2019
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting IJCAI 2019
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting AAAI 2019
Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency IJCAI 2018
Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns IJCAI 2018
Autoregressive Convolutional Neural Networks for Asynchronous Time Series ICML 2018
Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series AISTATS 2018
Multivariate Bayesian Structural Time Series Model JMLR 2018
Deep State Space Models for Time Series Forecasting NIPS 2018
Stock Price Prediction Using Attention-based Multi-Input LSTM ACML 2018
Blue Skies: A Methodology for Data-Driven Clear Sky Modelling IJCAI 2017
Hybrid Neural Networks for Learning the Trend in Time Series IJCAI 2017
App Download Forecasting: An Evolutionary Hierarchical Competition Approach IJCAI 2017
Discriminative State Space Models NIPS 2017
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks ACML 2017
DDoS Event Forecasting using Twitter Data IJCAI 2017