| EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction | Dec 15, 2023 | Autonomous Drivingmotion prediction | CodeCode Available | 1 |
| 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 |
| 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 |
| 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 |
| Adaptive Parameter Selection for Kernel Ridge Regression | Dec 10, 2023 | Learning Theoryregression | —Unverified | 0 |
| PSCR: Patches Sampling-based Contrastive Regression for AIGC Image Quality Assessment | Dec 10, 2023 | Image Quality Assessmentregression | CodeCode Available | 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 |
| D3A-TS: Denoising-Driven Data Augmentation in Time Series | Dec 9, 2023 | Data AugmentationDenoising | CodeCode Available | 1 |
| Decoding Mean Field Games from Population and Environment Observations By Gaussian Processes | Dec 8, 2023 | Gaussian Processesregression | —Unverified | 0 |
| Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems | Dec 8, 2023 | parameter estimationregression | —Unverified | 0 |
| Membership Inference Attacks on Diffusion Models via Quantile Regression | Dec 8, 2023 | Image Generationquantile regression | —Unverified | 0 |
| Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy | Dec 7, 2023 | regressionTransfer Learning | —Unverified | 0 |
| Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation | Dec 7, 2023 | regression | —Unverified | 0 |
