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Time Series

48 papers

Papers per year

4
5
'20
'25

Papers

Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026
TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting ACL 2026
Predictive inference for time series: why is split conformal effective despite temporal dependence? ALT 2026
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting AAAI 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences AAAI 2025
Neural Conformal Control for Time Series Forecasting AAAI 2025
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting AAAI 2025
Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation ACL 2025
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling NIPS 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting NIPS 2024
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting NIPS 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NIPS 2024
Multi-modal Learning for Geospatial Vegetation Forecasting CVPR 2024
Financial Forecasting from Textual and Tabular Time Series EMNLP 2024
One Fits All: Power General Time Series Analysis by Pretrained LM NIPS 2023
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks AAAI 2023
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation AAAI 2023
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series AAAI 2023
Probabilistic Querying of Continuous-Time Event Sequences AISTATS 2023
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting NIPS 2022
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement NIPS 2022
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks NIPS 2022
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting AAAI 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction AAAI 2022
Graph Neural Controlled Differential Equations for Traffic Forecasting AAAI 2022