Time Series Analysis

Cross-Sectional Conditional Independence in Stationary Time Series: Graphical Equivalence and Completeness of Collider Separation CLeaR 2026 Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting ACL 2026 Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift UAI 2026 Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics UAI 2026 Online Bootstrap Inference for the Trend of Nonstationary Time Series UAI 2026 PhyOceanCast: Global Ocean Forecasting with Physics-Informed Diffusion CVPR 2026 Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting AISTATS 2025 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025 A Short Information-Theoretic Analysis of Linear Auto-Regressive Learning L4DC 2025 CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models AAAI 2025 Change Point Detection in Hadamard Spaces by Alternating Minimization AISTATS 2025 ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables AISTATS 2025 Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt ICLR 2025 HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting AAAI 2025 KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025 Parameter estimation in state space models using particle importance sampling AISTATS 2025 Predictive Monitoring of Black-Box Dynamical Systems L4DC 2025 Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction AAAI 2025 State space models, emergence, and ergodicity: How many parameters are needed for stable predictions? L4DC 2025 xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition AAAI 2025 ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish ICLR 2025 ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning ICLR 2024 Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing UAI 2024 Identifying Spatio-Temporal Drivers of Extreme Events NeurIPS 2024 Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck ICLR 2024