time series

Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows UAI 2026 Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning AAAI 2026 CascadeNet: Generating Network Traffic with High-Fidelity Temporal Patterns NSDI 2026 COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series AAAI 2026 Cross-Sectional Conditional Independence in Stationary Time Series: Graphical Equivalence and Completeness of Collider Separation CLeaR 2026 CSIRO-LT at SemEval-2026 Task 2: In-the-Wild Valence and Arousal Forecasting on Ecological Text Time Series SemEval 2026 DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition AAAI 2026 Estimating Interventional Outcomes over Time with Causal Normalizing Flow UAI 2026 HierarNet: Independent Interactive Hierarchical Disease Outbreak Forecasting AAAI 2026 Instrumental variables system identification with L^p consistency L4DC 2026 Learning Max-Stable Representations that Extrapolate UAI 2026 Learning Stable Digraphs from Sparse-Input Linear Structural Causal Models UAI 2026 Mimesys: Generating Realistic Executable Testing Environments from Resource Usage Traces OSDI 2026 Nonparametric generative modeling for time series via Schrödinger bridge JMLR 2026 Online Bootstrap Inference for the Trend of Nonstationary Time Series UAI 2026 STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning ACL 2026 TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis CVPR 2026 Towards Uncertainty-aware Unsupervised Domain Adaptation for Videos and Time-Series with Causal Optimal Transport CVPR 2026 ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting IJCAI 2025 A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting IJCAI 2025 Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series ICLR 2025 A Practical Approach to Causal Inference over Time AAAI 2025 Arrow: Accelerator for Time Series Causal Discovery with Time Weaving ICML 2025 Beyond UDA: Examining Temporal and Frequency Representations in Time Series Transfer ACML 2025 CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series ICLR 2025