| Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems | Oct 28, 2024 | Time SeriesTime Series Prediction | —Unverified | 0 |
| Exploring Capabilities of Time Series Foundation Models in Building Analytics | Oct 28, 2024 | Benchmarkingenergy management | —Unverified | 0 |
| Federated Time Series Generation on Feature and Temporally Misaligned Data | Oct 28, 2024 | Federated LearningTime Series | —Unverified | 0 |
| Temporal Streaming Batch Principal Component Analysis for Time Series Classification | Oct 28, 2024 | Dimensionality ReductionTime Series | —Unverified | 0 |
| Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting | Oct 28, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| A Temporal Linear Network for Time Series Forecasting | Oct 28, 2024 | Computational EfficiencyInference Optimization | CodeCode Available | 0 |
| Deconfounding Time Series Forecasting | Oct 27, 2024 | Decision MakingTime Series | —Unverified | 0 |
| TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting | Oct 27, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data | Oct 25, 2024 | Causal DiscoveryComputational Efficiency | —Unverified | 0 |
| A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images | Oct 25, 2024 | Stock PredictionStock Price Prediction | —Unverified | 0 |
| PMM-Net: Single-stage Multi-agent Trajectory Prediction with Patching-based Embedding and Explicit Modal Modulation | Oct 25, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Robust Time Series Causal Discovery for Agent-Based Model Validation | Oct 25, 2024 | Causal DiscoveryTime Series | —Unverified | 0 |
| Generation of synthetic financial time series by diffusion models | Oct 24, 2024 | DenoisingTime Series | —Unverified | 0 |
| Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images | Oct 24, 2024 | Dimensionality ReductionGraph Attention | —Unverified | 0 |
| Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification | Oct 24, 2024 | Text GenerationTime Series | —Unverified | 0 |
| A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges | Oct 24, 2024 | DiversityMamba | —Unverified | 0 |
| TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting | Oct 24, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Predicting Company Growth by Econophysics informed Machine Learning | Oct 23, 2024 | Decision MakingTime Series | —Unverified | 0 |
| Self-Supervised Learning for Time Series: A Review & Critique of FITS | Oct 23, 2024 | regressionSelf-Supervised Learning | CodeCode Available | 0 |
| Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations | Oct 23, 2024 | Contrastive LearningDomain Adaptation | —Unverified | 0 |
| Fast and interpretable electricity consumption scenario generation for individual consumers | Oct 23, 2024 | Time Series | —Unverified | 0 |
| Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars | Oct 23, 2024 | AstronomyDeep Learning | CodeCode Available | 0 |
| Zeitenwenden: Detecting changes in the German political discourse | Oct 23, 2024 | Time Series | CodeCode Available | 0 |
| Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning | Oct 22, 2024 | Contrastive LearningPrediction | —Unverified | 0 |
| Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation | Oct 22, 2024 | Time Series | —Unverified | 0 |