| On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction | Oct 17, 2023 | Conformal PredictionPrediction | —Unverified | 0 |
| Resampling Stochastic Gradient Descent Cheaply for Efficient Uncertainty Quantification | Oct 17, 2023 | Stochastic OptimizationUncertainty Quantification | —Unverified | 0 |
| Provable Probabilistic Imaging using Score-Based Generative Priors | Oct 16, 2023 | DenoisingImage Reconstruction | CodeCode Available | 1 |
| Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty | Oct 16, 2023 | Uncertainty Quantification | —Unverified | 0 |
| On the Properties and Estimation of Pointwise Mutual Information Profiles | Oct 16, 2023 | Mutual Information EstimationUncertainty Quantification | CodeCode Available | 1 |
| Pseudo-Bayesian Optimization | Oct 15, 2023 | Bayesian OptimizationUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification using Generative Approach | Oct 13, 2023 | Classificationregression | —Unverified | 0 |
| Statistical guarantees for stochastic Metropolis-Hastings | Oct 13, 2023 | regressionUncertainty Quantification | CodeCode Available | 0 |
| A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors | Oct 12, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Trustworthy Machine Learning | Oct 12, 2023 | Out-of-Distribution GeneralizationUncertainty Quantification | —Unverified | 0 |
| Representing and extending ensembles of parsimonious evolutionary histories with a directed acyclic graph | Oct 11, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Stochastic Super-resolution of Cosmological Simulations with Denoising Diffusion Models | Oct 10, 2023 | DenoisingDiversity | —Unverified | 0 |
| Deep Learning: A Tutorial | Oct 10, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Hoeffding decomposition of black-box models with dependent inputs | Oct 10, 2023 | SensitivityUncertainty Quantification | —Unverified | 0 |
| A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods | Oct 9, 2023 | Medical Image AnalysisUncertainty Quantification | —Unverified | 0 |
| Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model | Oct 9, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 |
| Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making | Oct 9, 2023 | Decision MakingPrediction | —Unverified | 0 |
| Learning to Predict Structural Vibrations | Oct 9, 2023 | Operator learningPDE Surrogate Modeling | CodeCode Available | 1 |
| Sharing Information Between Machine Tools to Improve Surface Finish Forecasting | Oct 9, 2023 | Predictionregression | —Unverified | 0 |
| Improved Active Learning via Dependent Leverage Score Sampling | Oct 8, 2023 | Active LearningUncertainty Quantification | —Unverified | 0 |
| HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations | Oct 7, 2023 | Equation DiscoveryModel Discovery | —Unverified | 0 |
| Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations | Oct 5, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Sparse Deep Learning for Time Series Data: Theory and Applications | Oct 5, 2023 | Deep LearningModel Compression | —Unverified | 0 |
| Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks | Oct 4, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
