Time Series Analysis

Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows UAI 2026 Assumed Density Filtering and Smoothing with Neural Network Surrogate Models L4DC 2026 CCEval: Accurately and Confidently Evaluating Performance Metrics of Congestion Control Algorithms for Datacenter Networks NSDI 2026 CITD@UIT at SemEval-2026 Task 2: Temporal Mixture-of-Experts for Longitudinal Valence and Arousal Prediction from Ecological Essays SemEval 2026 CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract) AAAI 2026 Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction AAAI 2026 CSIRO-LT at SemEval-2026 Task 2: In-the-Wild Valence and Arousal Forecasting on Ecological Text Time Series SemEval 2026 Embedding Network Autoregression for Time Series Analysis and Causal Peer Effect Inference JMLR 2026 EpiRDN: A Learnable Anisotropic Reaction-Diffusion Network for Epidemic Time Series Prediction UAI 2026 FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition AAAI 2026 Harmonic Dataset Distillation for Time Series Forecasting AAAI 2026 How Predicted Links Influence Network Evolution: Disentangling Choice and Algorithmic Feedback in Dynamic Graphs UAI 2026 Inferring Events from Time Series using Language Models ACL 2026 Instrumental variables system identification with L^p consistency L4DC 2026 Is the Attention Matrix Really the Key to Self-Attention in Multivariate Long-Term Time Series Forecasting? ACL 2026 Kronecker-Structured Nonparametric Spatiotemporal Point Processes UAI 2026 Learning a Spatial Partitioning and its Causal Relations from Temporal Data CLeaR 2026 Learning Max-Stable Representations that Extrapolate UAI 2026 M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting AAAI 2026 MeteorPred: A Meteorological Multimodal Large Model and Dataset for Severe Weather Event Prediction CVPR 2026 Multi-relational Network Autoregression Model with Latent Group Structures JMLR 2026 Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series (Abstract Reprint) AAAI 2026 Online Bootstrap Inference for the Trend of Nonstationary Time Series UAI 2026 Online Detection of Changes in Moment--Based Projections: When to Retrain Deep Learners or Update Portfolios? JMLR 2026 PFGNet: A Fully Convolutional Frequency-Guided Peripheral Gating Network for Efficient Spatiotemporal Predictive Learning CVPR 2026