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

BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis NIPS 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NIPS 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling NIPS 2023
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting AAAI 2023
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting AAAI 2023
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series AAAI 2023
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract) IJCAI 2022
Multivariate Boosted Trees and Applications to Forecasting and Control JMLR 2022
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction NIPS 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting NIPS 2022
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting NIPS 2022
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement NIPS 2022
Darts: User-Friendly Modern Machine Learning for Time Series JMLR 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation AAAI 2022
Multi-Type Urban Crime Prediction AAAI 2022
LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data AAAI 2022
Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance AAAI 2022
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors AAAI 2022
Domain Adaptation for Time Series Forecasting via Attention Sharing ICML 2022
Nystrom Regularization for Time Series Forecasting JMLR 2022
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NIPS 2022
Adaptive Long-Short Pattern Transformer for Stock Investment Selection IJCAI 2022
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts NAACL 2022
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting AISTATS 2022
Causal forecasting: generalization bounds for autoregressive models UAI 2022