Time Series

Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026 Coupling Liquid Time-Constant Encoders with Modern Hopfield Memory CVPR 2026 Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems UAI 2026 Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling JMLR 2026 How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs UAI 2026 Multi-relational Network Autoregression Model with Latent Group Structures JMLR 2026 Nonparametric generative modeling for time series via Schrödinger bridge JMLR 2026 Perspicere at SemEval-2026 Task 2: Modeling Longitudinal Valence and Arousal via Dense Embeddings and Agentic Reasoning SemEval 2026 Predictive inference for time series: why is split conformal effective despite temporal dependence? ALT 2026 StreamReady: Learning What to Answer and When in Long Streaming Videos CVPR 2026 TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting ACL 2026 Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems AISTATS 2025 Causal Discovery-Driven Change Point Detection in Time Series AISTATS 2025 Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement ICLR 2025 Federated Granger Causality Learning For Interdependent Clients With State Space Representation ICLR 2025 FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting AAAI 2025 FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts AISTATS 2025 HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery UAI 2025 Koopman-Equivariant Gaussian Processes AISTATS 2025 Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test ICLR 2025 Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes AISTATS 2025 M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding AISTATS 2025 Mean-Field Microcanonical Gradient Descent AISTATS 2025 Neural Conformal Control for Time Series Forecasting AAAI 2025 Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data AISTATS 2025