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

Neural Flows: Efficient Alternative to Neural ODEs NIPS 2021
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting AAAI 2020
Forecasting Sequential Data Using Consistent Koopman Autoencoders ICML 2020
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction IJCAI 2020
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction IJCAI 2020
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data MLHC 2020
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection AAAI 2020
Day-Ahead Forecasting of Losses in the Distribution Network AAAI 2020
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models L4DC 2020
Adversarial Sparse Transformer for Time Series Forecasting NIPS 2020
GluonTS: Probabilistic and Neural Time Series Modeling in Python JMLR 2020
High Dimensional Forecasting via Interpretable Vector Autoregression JMLR 2020
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting NIPS 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models ICML 2020
Towards Better Forecasting by Fusing Near and Distant Future Visions AAAI 2020
Partial Correlation-Based Attention for Multivariate Time Series Forecasting AAAI 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020
Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory AAAI 2020
Influenza Forecasting Framework based on Gaussian Processes ICML 2020
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes NIPS 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NIPS 2019
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics CVPR 2019
CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features AAAI 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting NIPS 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting NIPS 2019