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| Embarrassingly Parallel Inference for Gaussian Processes | Feb 27, 2017 | Gaussian ProcessesMixture-of-Experts | CodeCode Available | 0 | 5 |
| ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model | Dec 5, 2018 | Neural Network Compressionregression | CodeCode Available | 0 | 5 |
| ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods | Dec 21, 2022 | Binary Classificationregression | CodeCode Available | 0 | 5 |
| Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning | Feb 11, 2024 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 | 5 |
| 2D Image head pose estimation via latent space regression under occlusion settings | Nov 10, 2023 | Head Pose EstimationPose Estimation | CodeCode Available | 0 | 5 |
| The Complexity of Dynamic Least-Squares Regression | Jan 1, 2022 | regression | CodeCode Available | 0 | 5 |
| Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models | Aug 12, 2022 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted Regression | May 28, 2024 | Imitation LearningMuJoCo | CodeCode Available | 0 | 5 |
| Dynamic CoVaR Modeling and Estimation | Jun 28, 2022 | regression | CodeCode Available | 0 | 5 |