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time-series forecasting

26 papers

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Co-occurring keywords

time series forecasting (364) probabilistic forecasting (45) linear dynamical system (86) large language model (13587) graph neural network (3962) deep learning (2118) online learning (1777) concept drift (73) weather forecasting (42) retrieval-augmented generation (1592)

Papers

Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark WACV 2026
LiBrain: LLM-Powered Li-ion Battery Diagnostics with Time-Series-Aware Retrieval-Augmented Framework for E-bikes AAAI 2026
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026
Goal-Oriented Time-Series Forecasting: Foundation Framework Design AAAI 2026
Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation IJCAI 2025
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NIPS 2024
Multi-resolution Time-Series Transformer for Long-term Forecasting AISTATS 2024
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction ACL 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer NIPS 2024
Learnable Path in Neural Controlled Differential Equations AAAI 2023
Neural Spline Search for Quantile Probabilistic Modeling AAAI 2023
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare IJCAI 2023
Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models NIPS 2023
Wasserstein Adversarial Transformer for Cloud Workload Prediction AAAI 2022
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors AAAI 2022
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NIPS 2022
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting AAAI 2021
Fairness in Forecasting and Learning Linear Dynamical Systems AAAI 2021
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time NIPS 2021
Conformal prediction interval for dynamic time-series ICML 2021
Machine learning structure preserving brackets for forecasting irreversible processes NIPS 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting NIPS 2020
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters AAAI 2019
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting AAAI 2019
Nonparametric Risk Bounds for Time-Series Forecasting JMLR 2017