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Time Series

431 directly classified papers

Papers per year

Papers

Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting AAAI 2025
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting AAAI 2025
Hierarchical Classification Auxiliary Network for Time Series Forecasting AAAI 2025
Mobility Data Representations for Spatiotemporal Tasks AAAI 2025
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models UAI 2025
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation IJCAI 2025
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting AAAI 2025
ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering ACL 2025
Tsururu: A Python-based Time Series Forecasting Strategies Library IJCAI 2025
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting IJCAI 2025
GCF: Estimating Unobserved Demand Using Graph Causal Forecasting AAAI 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows AAAI 2025
Differentiable Adversarial Attacks for Marked Temporal Point Processes AAAI 2025
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NIPS 2024
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching NIPS 2024
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024
CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series AAAI 2024
Learning from Highly Sparse Spatio-temporal Data NIPS 2024
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs AISTATS 2024
Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024
Disentangling Domain and General Representations for Time Series Classification IJCAI 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data NIPS 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors NIPS 2024
Reinforced Cross-Domain Knowledge Distillation on Time Series Data NIPS 2024