multivariate time series

Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting AAAI 2026 CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift AAAI 2026 CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract) AAAI 2026 Counterfactual eXplainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification AAAI 2026 EdgeMTSC: A Lightweight Large-Kernel ConvNet for Multivariate Time Series Classification AAAI 2026 EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting AAAI 2026 HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting AAAI 2026 Is the Attention Matrix Really the Key to Self-Attention in Multivariate Long-Term Time Series Forecasting? ACL 2026 Learnable Matrix Profile for Motif Discovery on Multivariate Time Series AAAI 2026 M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting AAAI 2026 Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering AAAI 2026 Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series (Abstract Reprint) AAAI 2026 Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis AAAI 2026 State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis AAAI 2026 TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting AAAI 2026 TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding AAAI 2026 Transparent Networks for Multivariate Time Series AAAI 2026 A Multi-Task Learning Approach to Linear Multivariate Forecasting AISTATS 2025 CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting IJCAI 2025 CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching ICLR 2025 Causal Discovery-Driven Change Point Detection in Time Series AISTATS 2025 Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML 2025 Causal Temporal Regime Structure Learning AISTATS 2025 Conditional Information Bottleneck-Based Multivariate Time Series Forecasting IJCAI 2025 CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting AAAI 2025