| Conditional Lagrangian Wasserstein Flow for Time Series Imputation | Oct 10, 2024 | DenoisingImputation | —Unverified | 0 |
| Generalizable autoregressive modeling of time series through functional narratives | Oct 10, 2024 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Towards Generalisable Time Series Understanding Across Domains | Oct 9, 2024 | BenchmarkingTime Series | CodeCode Available | 1 |
| Green bubbles: a four-stage paradigm for detection and propagation | Oct 9, 2024 | Time Series | —Unverified | 0 |
| GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series | Oct 9, 2024 | Domain AdaptationSemi-supervised Domain Adaptation | CodeCode Available | 0 |
| Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization | Oct 9, 2024 | Time Series | —Unverified | 0 |
| Task-oriented Time Series Imputation Evaluation via Generalized Representers | Oct 9, 2024 | Anomaly DetectionImputation | CodeCode Available | 0 |
| Toward Physics-guided Time Series Embedding | Oct 9, 2024 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | Oct 8, 2024 | Computational EfficiencyIrregular Time Series | CodeCode Available | 1 |
| Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework | Oct 8, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Navigating Inflation in Ghana: How Can Machine Learning Enhance Economic Stability and Growth Strategies | Oct 8, 2024 | Decision MakingManagement | —Unverified | 0 |
| Identification and estimation for matrix time series CP-factor models | Oct 8, 2024 | Time Series | —Unverified | 0 |
| Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting | Oct 8, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification | Oct 8, 2024 | Time SeriesTime Series Classification | —Unverified | 0 |
| Vector-ICL: In-context Learning with Continuous Vector Representations | Oct 8, 2024 | ClassificationGraph Classification | CodeCode Available | 1 |
| Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs | Oct 8, 2024 | Anomaly DetectionTime Series | —Unverified | 0 |
| Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet | Oct 8, 2024 | Time SeriesTime Series Classification | —Unverified | 0 |
| Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting | Oct 8, 2024 | DecoderDenoising | CodeCode Available | 1 |
| TIMBA: Time series Imputation with Bi-directional Mamba Blocks and Diffusion models | Oct 8, 2024 | ImputationMamba | —Unverified | 0 |
| Can LLMs Understand Time Series Anomalies? | Oct 7, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| GRU-D Characterizes Age-Specific Temporal Missingness in MIMIC-IV | Oct 7, 2024 | Binary ClassificationTime Series | —Unverified | 0 |
| Large datasets for the Euro Area and its member countries and the dynamic effects of the common monetary policy | Oct 7, 2024 | Time Series | —Unverified | 0 |
| Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems | Oct 7, 2024 | energy managementManagement | —Unverified | 0 |
| MC-QDSNN: Quantized Deep evolutionary SNN with Multi-Dendritic Compartment Neurons for Stress Detection using Physiological Signals | Oct 7, 2024 | HippocampusNeural Architecture Search | —Unverified | 0 |
| Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis | Oct 7, 2024 | 16kAnomaly Detection | CodeCode Available | 1 |
| Timer-XL: Long-Context Transformers for Unified Time Series Forecasting | Oct 7, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 4 |
| Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data | Oct 7, 2024 | Time SeriesTransfer Learning | —Unverified | 0 |
| TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting | Oct 7, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Transition of α-mixing in Random Iterations with Applications in Queuing Theory | Oct 7, 2024 | EconometricsTime Series | —Unverified | 0 |
| TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting | Oct 6, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| Applying Quantum Autoencoders for Time Series Anomaly Detection | Oct 5, 2024 | Anomaly DetectionFraud Detection | —Unverified | 0 |
| Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution | Oct 5, 2024 | Anomaly DetectionDecision Making | —Unverified | 0 |
| A new GARCH model with a deterministic time-varying intercept | Oct 4, 2024 | Time Series | —Unverified | 0 |
| Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting | Oct 4, 2024 | tensor algebraTime Series | CodeCode Available | 0 |
| GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning | Oct 4, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model | Oct 4, 2024 | Time Series | —Unverified | 0 |
| Metadata Matters for Time Series: Informative Forecasting with Transformers | Oct 4, 2024 | Financial AnalysisTime Series | —Unverified | 0 |
| Forest Proximities for Time Series | Oct 4, 2024 | Time SeriesTime Series Classification | —Unverified | 0 |
| Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs | Oct 4, 2024 | Neural Architecture SearchQuantization | —Unverified | 0 |
| Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting | Oct 4, 2024 | Probabilistic Time Series ForecastingTime Series | —Unverified | 0 |
| SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation | Oct 4, 2024 | ImputationMultivariate Time Series Imputation | CodeCode Available | 0 |
| Autoregressive Moving-average Attention Mechanism for Time Series Forecasting | Oct 4, 2024 | DecoderTime Series | CodeCode Available | 1 |
| Repurposing Foundation Model for Generalizable Medical Time Series Classification | Oct 3, 2024 | BenchmarkingDiagnostic | —Unverified | 0 |
| Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting | Oct 3, 2024 | Gaussian ProcessesProbabilistic Time Series Forecasting | —Unverified | 0 |
| TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis | Oct 3, 2024 | Irregular Time SeriesPhenotype classification | —Unverified | 0 |
| BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting | Oct 3, 2024 | EpidemiologyMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Embedded Topic Models Enhanced by Wikification | Oct 3, 2024 | ArticlesTime Series | —Unverified | 0 |
| Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement | Oct 3, 2024 | Computational EfficiencyDisentanglement | —Unverified | 0 |
| Learning K-U-Net with constant complexity: An Application to time series forecasting | Oct 3, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices | Oct 3, 2024 | subspace methodsTime Series | —Unverified | 0 |