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| Measurement-based/Model-less Estimation of Voltage Sensitivity Coefficients by Feedforward and LSTM Neural Networks in Power Distribution Grids | Dec 14, 2023 | regressionSensitivity | —Unverified | 0 |
| Modeling Epidemic Spread: A Gaussian Process Regression Approach | Dec 14, 2023 | GPRregression | CodeCode Available | 0 |
| Deep Learning-Based Cyber-Attack Detection Model for Smart Grids | Dec 14, 2023 | Cyber Attack DetectionDeep Learning | —Unverified | 0 |
| Gaussian Process Regression under Computational and Epistemic Misspecification | Dec 14, 2023 | regression | —Unverified | 0 |
| Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs | Dec 13, 2023 | parameter estimationregression | CodeCode Available | 0 |
| Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation | Dec 13, 2023 | Gaussian ProcessesMeta-Learning | —Unverified | 0 |
| Levenshtein Distance Embedding with Poisson Regression for DNA Storage | Dec 13, 2023 | regression | —Unverified | 0 |
| Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty | Dec 12, 2023 | Gaussian Processesregression | —Unverified | 0 |
| A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams | Dec 12, 2023 | Drift DetectionNavigate | CodeCode Available | 0 |