| Towards Principled Task Grouping for Multi-Task Learning | Feb 23, 2024 | Combinatorial OptimizationMulti-Task Learning | —Unverified | 0 |
| Assessing the importance of long-range correlations for deep-learning-based sleep staging | Feb 22, 2024 | DiagnosticEEG | —Unverified | 0 |
| Quantifying neural network uncertainty under volatility clustering | Feb 22, 2024 | Clusteringregression | —Unverified | 0 |
| Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data | Feb 22, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 2 |
| Adaptive time series forecasting with markovian variance switching | Feb 22, 2024 | Learning TheoryLoad Forecasting | —Unverified | 0 |
| Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection | Feb 22, 2024 | Anomaly DetectionDynamic Time Warping | CodeCode Available | 1 |
| AI-Powered Predictions for Electricity Load in Prosumer Communities | Feb 21, 2024 | Load Forecastingregression | —Unverified | 0 |
| Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model | Feb 21, 2024 | PredictionTime Series | —Unverified | 0 |
| E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series | Feb 21, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 |
| Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning | Feb 21, 2024 | Gaussian ProcessesTime Series | CodeCode Available | 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 |
| Generative Probabilistic Time Series Forecasting and Applications in Grid Operations | Feb 21, 2024 | Decision MakingProbabilistic Time Series Forecasting | —Unverified | 0 |
| DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load | Feb 21, 2024 | DenoisingLoad Forecasting | CodeCode Available | 1 |
| MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification | Feb 21, 2024 | Neural Architecture SearchTime Series | —Unverified | 0 |
| Harmful algal bloom forecasting. A comparison between stream and batch learning | Feb 20, 2024 | Time Series | —Unverified | 0 |
| Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling | Feb 20, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting | Feb 20, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification | Feb 20, 2024 | Domain AdaptationTime Series | —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 |
| Manipulating hidden-Markov-model inferences by corrupting batch data | Feb 19, 2024 | Time Series | —Unverified | 0 |
| Stylized Facts of High-Frequency Bitcoin Time Series | Feb 19, 2024 | Time Series | —Unverified | 0 |
| Class-incremental Learning for Time Series: Benchmark and Evaluation | Feb 19, 2024 | Activity RecognitionBenchmarking | CodeCode Available | 2 |