time series data

Optimal Information Retention for Time-Series Explanations ICML 2025 SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input UAI 2025 A Dynamical View of the Question of Why ICLR 2024 An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series ICML 2024 Discovering Mixtures of Structural Causal Models from Time Series Data ICML 2024 Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks AISTATS 2024 Non-parametric Online Change Point Detection on Riemannian Manifolds ICML 2024 TimeX++: Learning Time-Series Explanations with Information Bottleneck ICML 2024 When are dynamical systems learned from time series data statistically accurate? NeurIPS 2024 Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data IJCAI 2023 FLIP: A Utility Preserving Privacy Mechanism for Time Series JMLR 2023 Sparse Deep Learning for Time Series Data: Theory and Applications NeurIPS 2023 Neighborhood Contrastive Learning Applied to Online Patient Monitoring ICML 2021 VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance IJCAI 2021 DYNOTEARS: Structure Learning from Time-Series Data AISTATS 2020 Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization ACL 2019 Using Clinical Notes with Time Series Data for ICU Management EMNLP 2019 Learning Symbolic Representations of Hybrid Dynamical Systems JMLR 2012 Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NeurIPS 2008