| Reliable Prediction Intervals with Regression Neural Networks | Dec 15, 2023 | Conformal PredictionPrediction | —Unverified | 0 |
| Prediction of rare events in the operation of household equipment using co-evolving time series | Dec 15, 2023 | regressionTime Series | —Unverified | 0 |
| Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman | Dec 15, 2023 | regressionSymbolic Regression | CodeCode Available | 0 |
| Symbolic Regression of Dynamic Network Models | Dec 15, 2023 | regressionSymbolic Regression | —Unverified | 0 |
| Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood | Dec 15, 2023 | regression | —Unverified | 0 |
| Asset Ownership Identification: Using machine learning to predict enterprise asset ownership | Dec 15, 2023 | regressionSpecificity | —Unverified | 0 |
| Gaussian Process Regression under Computational and Epistemic Misspecification | Dec 14, 2023 | regression | —Unverified | 0 |
| Deep Learning-Based Cyber-Attack Detection Model for Smart Grids | Dec 14, 2023 | Cyber Attack DetectionDeep Learning | —Unverified | 0 |
| 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 estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs | Dec 13, 2023 | parameter estimationregression | CodeCode Available | 0 |
| Levenshtein Distance Embedding with Poisson Regression for DNA Storage | Dec 13, 2023 | regression | —Unverified | 0 |
| Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation | Dec 13, 2023 | Gaussian ProcessesMeta-Learning | —Unverified | 0 |
| Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty | Dec 12, 2023 | Gaussian Processesregression | —Unverified | 0 |
| Contextual Bandits with Online Neural Regression | Dec 12, 2023 | Multi-Armed Banditsregression | —Unverified | 0 |
| Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm | Dec 12, 2023 | regression | —Unverified | 0 |
| Edge Wasserstein Distance Loss for Oriented Object Detection | Dec 12, 2023 | Objectobject-detection | —Unverified | 0 |
| A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams | Dec 12, 2023 | Drift DetectionNavigate | CodeCode Available | 0 |
| KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows | Dec 11, 2023 | GPRregression | —Unverified | 0 |
| ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation | Dec 11, 2023 | 3D Human Pose EstimationMonocular 3D Human Pose Estimation | CodeCode Available | 0 |
| PSCR: Patches Sampling-based Contrastive Regression for AIGC Image Quality Assessment | Dec 10, 2023 | Image Quality Assessmentregression | CodeCode Available | 0 |
| Adaptive Parameter Selection for Kernel Ridge Regression | Dec 10, 2023 | Learning Theoryregression | —Unverified | 0 |
| Multi-source domain adaptation for regression | Dec 9, 2023 | Domain AdaptationEnsemble Learning | —Unverified | 0 |
| Optimal Unbiased Randomizers for Regression with Label Differential Privacy | Dec 9, 2023 | regression | —Unverified | 0 |
| Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems | Dec 8, 2023 | parameter estimationregression | —Unverified | 0 |
