| Posterior Uncertainty Quantification in Neural Networks using Data Augmentation | Mar 18, 2024 | Data Augmentationimage-classification | CodeCode Available | 0 |
| Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data | Mar 18, 2024 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects | Mar 17, 2024 | Graph Neural NetworkUncertainty Quantification | —Unverified | 0 |
| Function-space Parameterization of Neural Networks for Sequential Learning | Mar 16, 2024 | Continual LearningGaussian Processes | CodeCode Available | 0 |
| Variation Due to Regularization Tractably Recovers Bayesian Deep Learning | Mar 15, 2024 | Decision MakingDeep Learning | —Unverified | 0 |
| Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs | Mar 15, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification | Mar 15, 2024 | Diversityimage-classification | —Unverified | 0 |
| Uncertainty Quantification for cross-subject Motor Imagery classification | Mar 14, 2024 | Brain Computer InterfaceClassification | CodeCode Available | 0 |
| A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty | Mar 13, 2024 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors | Mar 13, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection | Mar 12, 2024 | Deep LearningOut-of-Distribution Detection | —Unverified | 0 |
| Discovering High-Strength Alloys via Physics-Transfer Learning | Mar 12, 2024 | Transfer LearningUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation | Mar 12, 2024 | 6D Pose Estimation using RGBObject | —Unverified | 0 |
| Scalable Spatiotemporal Prediction with Bayesian Neural Fields | Mar 12, 2024 | Bayesian InferenceDemand Forecasting | CodeCode Available | 2 |
| Koopman Ensembles for Probabilistic Time Series Forecasting | Mar 11, 2024 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 0 |
| Model-Free Local Recalibration of Neural Networks | Mar 9, 2024 | Decision Makingmodel | —Unverified | 0 |
| Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification | Mar 7, 2024 | Fact CheckingHallucination | —Unverified | 0 |
| End-to-end Conditional Robust Optimization | Mar 7, 2024 | Conformal PredictionDecision Making | —Unverified | 0 |
| Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage | Mar 6, 2024 | Conformal PredictionDrug Discovery | CodeCode Available | 0 |
| ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing | Mar 6, 2024 | regressiontabular-regression | —Unverified | 0 |
| Uncertainty quantification for deeponets with ensemble kalman inversion | Mar 6, 2024 | Operator learningUncertainty Quantification | —Unverified | 0 |
| Conformal prediction for multi-dimensional time series by ellipsoidal sets | Mar 6, 2024 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Scalable Bayesian inference for the generalized linear mixed model | Mar 5, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences | Mar 4, 2024 | CaricatureUncertainty Quantification | CodeCode Available | 0 |
| On Fractional Moment Estimation from Polynomial Chaos Expansion | Mar 4, 2024 | Experimental DesignUncertainty Quantification | —Unverified | 0 |