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Time Series

431 papers

Papers per year

5
4
46
57
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'25

Papers

General Incomplete Time Series Analysis via Patch Dropping Without Imputation IJCAI 2025
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness IJCAI 2025
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting IJCAI 2025
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags IJCAI 2025
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data IJCAI 2025
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation IJCAI 2025
FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records IJCAI 2025
Tsururu: A Python-based Time Series Forecasting Strategies Library IJCAI 2025
Multimodal Language Models for Financial Forecasting from Interleaved Sequences of Text and Time Series IJCNLP 2025
Scalable and Adaptive Variational Bayes Methods for Hawkes Processes JMLR 2025
Retrieval of Temporal Event Sequences from Textual Descriptions NAACL 2025
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models UAI 2025
Solar Multimodal Transformer: Intraday Solar Irradiance Predictor using Public Cameras and Time Series WACV 2025
Causal Contrastive Learning for Counterfactual Regression Over Time NIPS 2024
Conditioning non-linear and infinite-dimensional diffusion processes NIPS 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment NIPS 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective NIPS 2024
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation NIPS 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NIPS 2024
Towards Editing Time Series NIPS 2024
Reinforced Cross-Domain Knowledge Distillation on Time Series Data NIPS 2024
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NIPS 2024
Frequency-aware Generative Models for Multivariate Time Series Imputation NIPS 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors NIPS 2024