Methods

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 Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting AAAI 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 Efficient GPU-Centric Evolving Graph Processing at Scale OSDI 2026 Embedding Network Autoregression for Time Series Analysis and Causal Peer Effect Inference JMLR 2026 Empowering Tabular Data Preparation with Language Models: Why and How? ACL 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 Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP ACL 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 Kernel Mean Embedding Deviation Subspace for Unsupervised Learning with Heterogeneous Data JMLR 2026 Kronecker-Structured Nonparametric Spatiotemporal Point Processes UAI 2026 Large Average Subtensor Problem: Ground-State, Algorithms, and Algorithmic Barriers ALT 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