| Distributionally robust uncertainty quantification via data-driven stochastic optimal control | Jun 4, 2023 | LEMMAUncertainty Quantification | —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 |
| 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 |
| Quantifying Representation Reliability in Self-Supervised Learning Models | May 31, 2023 | Self-Supervised LearningUncertainty Quantification | CodeCode Available | 0 |
| Offline Meta Reinforcement Learning with In-Distribution Online Adaptation | May 31, 2023 | Meta Reinforcement Learningreinforcement-learning | CodeCode Available | 0 |
| Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification | May 30, 2023 | DiversityImage Generation | CodeCode Available | 0 |
| Probabilistic computation and uncertainty quantification with emerging covariance | May 30, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Non-convex Bayesian Learning via Stochastic Gradient Markov Chain Monte Carlo | May 30, 2023 | Uncertainty Quantification | —Unverified | 0 |
