| Learning to Program Variational Quantum Circuits with Fast Weights | Feb 27, 2024 | Quantum Machine LearningReinforcement Learning (RL) | —Unverified | 0 |
| DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification | Feb 26, 2024 | Knowledge DistillationRelation Network | —Unverified | 0 |
| Leveraging power of deep learning for fast and efficient elite pixel selection in time series SAR interferometry | Feb 26, 2024 | Time Series | —Unverified | 0 |
| Generative Pretrained Hierarchical Transformer for Time Series Forecasting | Feb 26, 2024 | Few-Shot LearningTime Series | CodeCode Available | 1 |
| TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis | Feb 26, 2024 | Anomaly DetectionImputation | CodeCode Available | 3 |
| A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition Dynamics | Feb 26, 2024 | Data AugmentationTime Series | —Unverified | 0 |
| GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series | Feb 26, 2024 | Graph AttentionManagement | —Unverified | 0 |
| PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations | Feb 25, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity | Feb 25, 2024 | Time Series | CodeCode Available | 0 |
| LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting | Feb 25, 2024 | Computational EfficiencyTime Series | —Unverified | 0 |
