| Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems | Jun 27, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors | Jun 27, 2023 | Imitation LearningUncertainty Quantification | CodeCode Available | 0 |
| Enhanced multi-fidelity modelling for digital twin and uncertainty quantification | Jun 26, 2023 | Uncertainty Quantification | —Unverified | 0 |
| SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models | Jun 24, 2023 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents | Jun 17, 2023 | Question GenerationUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction | Jun 16, 2023 | Deep LearningGraph Neural Network | CodeCode Available | 1 |
| MUBen: Benchmarking the Uncertainty of Molecular Representation Models | Jun 14, 2023 | BenchmarkingDrug Discovery | CodeCode Available | 0 |
| Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings | Jun 13, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems | Jun 13, 2023 | Uncertainty Quantification | —Unverified | 0 |
| A Brief Review of Hypernetworks in Deep Learning | Jun 12, 2023 | Causal InferenceContinual Learning | CodeCode Available | 0 |
| Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing | Jun 11, 2023 | Probabilistic Deep Learningregression | CodeCode Available | 0 |
| Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks | Jun 9, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Conformal Prediction for Federated Uncertainty Quantification Under Label Shift | Jun 8, 2023 | Conformal PredictionFederated Learning | —Unverified | 0 |
| Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations | Jun 8, 2023 | parameter estimationUncertainty Quantification | —Unverified | 0 |
| Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling | Jun 7, 2023 | Generative Adversarial NetworkImage Reconstruction | —Unverified | 0 |
| Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models | Jun 7, 2023 | Uncertainty Quantificationvalid | —Unverified | 0 |
| Global universal approximation of functional input maps on weighted spaces | Jun 5, 2023 | Gaussian Processesregression | CodeCode Available | 0 |
| Uncertainty in Natural Language Processing: Sources, Quantification, and Applications | Jun 5, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Conformal Prediction with Missing Values | Jun 5, 2023 | Conformal PredictionData Augmentation | CodeCode Available | 1 |
| Distributionally robust uncertainty quantification via data-driven stochastic optimal control | Jun 4, 2023 | LEMMAUncertainty Quantification | —Unverified | 0 |
| Linked Deep Gaussian Process Emulation for Model Networks | Jun 2, 2023 | modelUncertainty Quantification | CodeCode Available | 1 |
| A General Framework for Uncertainty Quantification via Neural SDE-RNN | Jun 1, 2023 | ImputationTime Series | —Unverified | 0 |
| A New PHO-rmula for Improved Performance of Semi-Structured Networks | Jun 1, 2023 | Uncertainty Quantificationvalid | —Unverified | 0 |
| Quantifying Deep Learning Model Uncertainty in Conformal Prediction | Jun 1, 2023 | Conformal PredictionDecision Making | —Unverified | 0 |
| Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles | Jun 1, 2023 | Operator learningUncertainty Quantification | —Unverified | 0 |
