| OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data | Sep 15, 2024 | Anomaly DetectionComputational Efficiency | CodeCode Available | 0 |
| Anatomy of Neural Language Models | Jan 8, 2024 | AnatomyLanguage Modeling | CodeCode Available | 0 |
| RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering | Jun 10, 2019 | Anomaly DetectionSparse Learning | CodeCode Available | 0 |
| Deep learning for clustering of multivariate clinical patient trajectories with missing values | Nov 15, 2019 | ClusteringMissing Values | CodeCode Available | 0 |
| RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data | Mar 24, 2025 | Anomaly DetectionContrastive Learning | CodeCode Available | 0 |
| Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic data | Oct 11, 2023 | ImputationTime Series | CodeCode Available | 0 |
| Supporting Optimal Phase Space Reconstructions Using Neural Network Architecture for Time Series Modeling | Jun 19, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| A SSM is Polymerized from Multivariate Time Series | Sep 30, 2024 | MambaState Space Models | CodeCode Available | 0 |
| Support Vector Machines with Time Series Distance Kernels for Action Classification | Mar 7, 2016 | Action ClassificationAction Recognition | CodeCode Available | 0 |
| A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction | Apr 7, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation | May 26, 2024 | ImputationTime Series | CodeCode Available | 0 |
| VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series | Apr 6, 2022 | Linear evaluationSelf-Supervised Learning | CodeCode Available | 0 |
| Deep Learning-based Group Causal Inference in Multivariate Time-series | Jan 16, 2024 | Causal InferenceDeep Learning | CodeCode Available | 0 |
| Reduced-order modeling with artificial neurons for gravitational-wave inference | Nov 13, 2018 | parameter estimationTime Series | CodeCode Available | 0 |
| Towards Interpretable Time Series Foundation Models | Jul 10, 2025 | Time Series | CodeCode Available | 0 |
| Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning | Sep 21, 2024 | Contrastive Learningfeature selection | CodeCode Available | 0 |
| A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data | Nov 20, 2018 | Anomaly DetectionDecoder | CodeCode Available | 0 |
| Deep Imbalanced Time-series Forecasting via Local Discrepancy Density | Feb 27, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems | May 13, 2024 | Anomaly DetectionDimensionality Reduction | CodeCode Available | 0 |
| Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops | Mar 7, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs | Aug 26, 2019 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System | Feb 13, 2024 | Intrusion DetectionTime Series | CodeCode Available | 0 |
| Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections | Mar 3, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Variationally Inferred Sampling Through a Refined Bound | Oct 16, 2019 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| Asset Price Forecasting using Recurrent Neural Networks | Oct 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |