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Papers
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series
IJCAI 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
AAAI 2023
Effectively Modeling Time Series with Simple Discrete State Spaces
ICLR 2023
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms
AAAI 2023
EINNs: Epidemiologically-Informed Neural Networks
AAAI 2023
Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting
ACML 2023
Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose
AAAI 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
NeurIPS 2023
Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
NeurIPS 2023
InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting
AAAI 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
NeurIPS 2023
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
ICLR 2023
Large Language Models Are Zero-Shot Time Series Forecasters
NeurIPS 2023
Learnable Path in Neural Controlled Differential Equations
AAAI 2023
Learning Deep Time-index Models for Time Series Forecasting
ICML 2023
Learning Fast and Slow for Online Time Series Forecasting
ICLR 2023
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
IJCAI 2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare
IJCAI 2023
Merlion: End-to-End Machine Learning for Time Series
JMLR 2023
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
ICLR 2023
Neural Integro-Differential Equations
AAAI 2023
Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling
NeurIPS 2023
Neural Spline Search for Quantile Probabilistic Modeling
AAAI 2023
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting
AAAI 2023
One Fits All: Power General Time Series Analysis by Pretrained LM
NeurIPS 2023