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

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere ICML 2023
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting IJCAI 2023
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting IJCAI 2023
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning IJCAI 2023
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms AAAI 2023
InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting AAAI 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting AAAI 2023
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models AAAI 2023
Are Transformers Effective for Time Series Forecasting? AAAI 2023
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies AAAI 2023
Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose AAAI 2023
An Explainable Forecasting System for Humanitarian Needs Assessment AAAI 2023
AirFormer: Predicting Nationwide Air Quality in China with Transformers AAAI 2023
EINNs: Epidemiologically-Informed Neural Networks AAAI 2023
Coherent Probabilistic Forecasting of Temporal Hierarchies AISTATS 2023
One Fits All: Power General Time Series Analysis by Pretrained LM NIPS 2023
AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling NIPS 2023
Large Language Models Are Zero-Shot Time Series Forecasters NIPS 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors NIPS 2023
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting NIPS 2023
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective NIPS 2023
Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling NIPS 2023
Conformal PID Control for Time Series Prediction NIPS 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting NIPS 2023
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement NIPS 2023