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

Learning Latent Seasonal-Trend Representations for Time Series Forecasting NIPS 2022
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks NIPS 2022
Deciphering Environmental Air Pollution with Large Scale City Data IJCAI 2022
Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility ACML 2022
Dynamic Manifold Learning for Land Deformation Forecasting AAAI 2022
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration AAAI 2022
A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract) AAAI 2022
TS2Vec: Towards Universal Representation of Time Series AAAI 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting ICML 2022
Forecasting Asset Dependencies to Reduce Portfolio Risk AAAI 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting NIPS 2022
Adaptive Conformal Predictions for Time Series ICML 2022
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes ICML 2022
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting AAAI 2022
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting AAAI 2022
Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention IJCAI 2022
Memory Augmented State Space Model for Time Series Forecasting IJCAI 2022
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data IJCAI 2022
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts IJCAI 2022
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting IJCAI 2022
Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy IJCAI 2022
Variance Reduced Training with Stratified Sampling for Forecasting Models ICML 2021
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021
Time Series Data Augmentation for Deep Learning: A Survey IJCAI 2021
Inductive Graph Neural Networks for Spatiotemporal Kriging AAAI 2021