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Time Series

431 papers

Papers per year

5
4
46
57
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'25

Papers

HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting AAAI 2025
Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows AAAI 2025
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting AAAI 2025
Revisiting Attention for Multivariate Time Series Forecasting AAAI 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows AAAI 2025
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting AAAI 2025
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting AAAI 2025
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting AAAI 2025
Mobility Data Representations for Spatiotemporal Tasks AAAI 2025
Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract) AAAI 2025
Counterfactual Explanations of Time Varying Rankings (Student Abstract) AAAI 2025
LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract) AAAI 2025
ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering ACL 2025
Retrieval-Augmented Forecasting with Tabular Time Series Data ACL 2025
TSVer: A Benchmark for Fact Verification Against Time-Series Evidence EMNLP 2025
Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality EMNLP 2025
Non-collective Calibrating Strategy for Time Series Forecasting IJCAI 2025
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting IJCAI 2025
FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting IJCAI 2025
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting IJCAI 2025
CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning IJCAI 2025
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting IJCAI 2025
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models IJCAI 2025
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting IJCAI 2025
QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer IJCAI 2025