| A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting | Feb 29, 2024 | Demand ForecastingTime Series | —Unverified | 0 |
| StiefelGen: A Simple, Model Agnostic Approach for Time Series Data Augmentation over Riemannian Manifolds | Feb 29, 2024 | Data AugmentationTime Series | —Unverified | 0 |
| Negative-Binomial Randomized Gamma Markov Processes for Heterogeneous Overdispersed Count Time Series | Feb 29, 2024 | ImputationTime Series | —Unverified | 0 |
| Impacts of electric carsharing on a power sector with variable renewables | Feb 29, 2024 | Time Series | CodeCode Available | 0 |
| Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybean | Feb 28, 2024 | Time Series | —Unverified | 0 |
| Phase autoencoder for limit-cycle oscillators | Feb 28, 2024 | SensitivityTime Series | —Unverified | 0 |
| Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces | Feb 28, 2024 | Time Series | —Unverified | 0 |
| Collaborative learning of common latent representations in routinely collected multivariate ICU physiological signals | Feb 27, 2024 | Collaborative FilteringPatient Phenotyping | —Unverified | 0 |
| Predicting machine failures from multivariate time series: an industrial case study | Feb 27, 2024 | Binary ClassificationPrediction | —Unverified | 0 |
| Learning to Program Variational Quantum Circuits with Fast Weights | Feb 27, 2024 | Quantum Machine LearningReinforcement Learning (RL) | —Unverified | 0 |
| Time series generation for option pricing on quantum computers using tensor network | Feb 27, 2024 | Time SeriesTime Series Generation | —Unverified | 0 |
| Time Series Analysis in Compressor-Based Machines: A Survey | Feb 27, 2024 | Change Point DetectionFault Detection | —Unverified | 0 |
| Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization | Feb 27, 2024 | Bayesian InferenceBayesian Optimization | —Unverified | 0 |
| Low-light phase retrieval with implicit generative priors | Feb 27, 2024 | RetrievalTime Series | —Unverified | 0 |
| A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition Dynamics | Feb 26, 2024 | Data AugmentationTime Series | —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 |
| GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series | Feb 26, 2024 | Graph AttentionManagement | —Unverified | 0 |
| LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting | Feb 25, 2024 | Computational EfficiencyTime Series | —Unverified | 0 |
| A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity | Feb 25, 2024 | Time Series | CodeCode Available | 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 |
| Understanding Missingness in Time-series Electronic Health Records for Individualized Representation | Feb 24, 2024 | Time Series | —Unverified | 0 |
| Predicting Outcomes in Video Games with Long Short Term Memory Networks | Feb 24, 2024 | Decision MakingTime Series | CodeCode Available | 0 |
| Towards Principled Task Grouping for Multi-Task Learning | Feb 23, 2024 | Combinatorial OptimizationMulti-Task Learning | —Unverified | 0 |
| Enhancing Mean-Reverting Time Series Prediction with Gaussian Processes: Functional and Augmented Data Structures in Financial Forecasting | Feb 23, 2024 | Gaussian ProcessesTime Series | —Unverified | 0 |