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

aeon: a Python Toolkit for Learning from Time Series JMLR 2024
Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting NIPS 2024
Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment NIPS 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024
Self-adaptive Extreme Penalized Loss for Imbalanced Time Series Prediction IJCAI 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective NIPS 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NIPS 2024
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting NIPS 2024
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection NIPS 2024
Are Language Models Actually Useful for Time Series Forecasting? NIPS 2024
Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context NIPS 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling NIPS 2023
Merlion: End-to-End Machine Learning for Time Series JMLR 2023
Learning Deep Time-index Models for Time Series Forecasting ICML 2023
AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting AUTOML 2023
Neural Integro-Differential Equations AAAI 2023
Trafformer: Unify Time and Space in Traffic Prediction AAAI 2023
Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting ACML 2023
TFAN: Temporal-Feature correlations Attention-based Network for Urban Air Quality Prediction using Data Fusion technology ACML 2023
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting IJCAI 2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations AISTATS 2023
Temporal Graph Neural Networks for Irregular Data AISTATS 2023
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting ICML 2023