| Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning | Feb 21, 2024 | Gaussian ProcessesTime Series | CodeCode Available | 0 |
| AI-Powered Predictions for Electricity Load in Prosumer Communities | Feb 21, 2024 | Load Forecastingregression | —Unverified | 0 |
| MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification | Feb 21, 2024 | Neural Architecture SearchTime Series | —Unverified | 0 |
| Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records | Feb 21, 2024 | Privacy PreservingSynthetic Data Generation | —Unverified | 0 |
| Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images | Feb 21, 2024 | Disease PredictionIrregular Time Series | —Unverified | 0 |
| Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model | Feb 21, 2024 | PredictionTime Series | —Unverified | 0 |
| Generative Probabilistic Time Series Forecasting and Applications in Grid Operations | Feb 21, 2024 | Decision MakingProbabilistic Time Series Forecasting | —Unverified | 0 |
| Right on Time: Revising Time Series Models by Constraining their Explanations | Feb 20, 2024 | Time SeriesTime Series Classification | CodeCode Available | 0 |
| Extending the Scope of Inference About Predictive Ability to Machine Learning Methods | Feb 20, 2024 | Time SeriesUncertainty Quantification | —Unverified | 0 |
| Structural Knowledge Informed Continual Multivariate Time Series Forecasting | Feb 20, 2024 | Continual LearningGraph structure learning | —Unverified | 0 |