Time Series Analysis

AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting AutoML 2025 Auto-Regressive Moving Diffusion Models for Time Series Forecasting AAAI 2025 Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI 2025 Beyond Statistical Analysis: Multimodal Framework for Time Series Forecasting with LLM-Driven Temporal Pattern IJCAI 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting ICML 2025 CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning AAAI 2025 CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning IJCAI 2025 CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting IJCAI 2025 Causal Discovery-Driven Change Point Detection in Time Series AISTATS 2025 Causal Discovery from Conditionally Stationary Time Series ICML 2025 Causal Temporal Regime Structure Learning AISTATS 2025 Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism IJCAI 2025 CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling ICML 2025 Change Point Detection in Hadamard Spaces by Alternating Minimization AISTATS 2025 Changepoint Estimation in Sparse Dynamic Stochastic Block Models under Near-Optimal Signal Strength AISTATS 2025 Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine AAAI 2025 Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data AISTATS 2025 ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation JMLR 2025 CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations ICML 2025 CO2-Net: A Physics-Informed Spatio-Temporal Model for Global Surface CO2 Reconstruction ICCV 2025 COGRASP: Co-Occurrence Graph Based Stock Price Forecasting IJCAI 2025 Complete Characterization for Adjustment in Summary Causal Graphs of Time Series UAI 2025 Comprehensive Review of Neural Differential Equations for Time Series Analysis IJCAI 2025 Computation-Aware Kalman Filtering and Smoothing AISTATS 2025 Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting IJCAI 2025