| Uncertainty Aware Neural Network from Similarity and Sensitivity | Apr 27, 2023 | PredictionPrediction Intervals | CodeCode Available | 1 |
| Fairness Uncertainty Quantification: How certain are you that the model is fair? | Apr 27, 2023 | FairnessUncertainty Quantification | —Unverified | 0 |
| Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation | Apr 26, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Kernel Methods are Competitive for Operator Learning | Apr 26, 2023 | Operator learningUncertainty Quantification | CodeCode Available | 1 |
| Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification | Apr 25, 2023 | Image GenerationUncertainty Quantification | CodeCode Available | 1 |
| A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition | Apr 24, 2023 | class-incremental learningClass Incremental Learning | CodeCode Available | 0 |
| Quantile Extreme Gradient Boosting for Uncertainty Quantification | Apr 23, 2023 | Decision MakingPrediction Intervals | —Unverified | 0 |
| Multidimensional Uncertainty Quantification for Deep Neural Networks | Apr 20, 2023 | Decision MakingDrug Discovery | —Unverified | 0 |
| Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks | Apr 17, 2023 | DecoderUncertainty Quantification | —Unverified | 0 |
| Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction | Apr 14, 2023 | Image ReconstructionMRI Reconstruction | CodeCode Available | 0 |
| Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification | Apr 13, 2023 | Deep LearningState Space Models | CodeCode Available | 0 |
| Accurate transition state generation with an object-aware equivariant elementary reaction diffusion model | Apr 12, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision | Apr 12, 2023 | Binary ClassificationConformal Prediction | —Unverified | 0 |
| Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring | Apr 12, 2023 | Decision MakingPredictive Process Monitoring | —Unverified | 0 |
| UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series | Apr 11, 2023 | Cloud RemovalImage Reconstruction | CodeCode Available | 1 |
| Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning | Apr 10, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization | Apr 9, 2023 | Deep LearningHistopathological Image Classification | CodeCode Available | 2 |
| Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification | Apr 8, 2023 | Out-of-Distribution Detectionregression | CodeCode Available | 0 |
| Perspectives on AI Architectures and Co-design for Earth System Predictability | Apr 7, 2023 | Edge-computingUncertainty Quantification | —Unverified | 0 |
| Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning | Apr 6, 2023 | Conformal PredictionQuantum Machine Learning | CodeCode Available | 0 |
| Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry | Apr 6, 2023 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification for Recursive Estimation in Adaptive Safety-Critical Control | Apr 4, 2023 | parameter estimationUncertainty Quantification | —Unverified | 0 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| Multilevel CNNs for Parametric PDEs | Apr 1, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Inferring networks from time series: a neural approach | Mar 30, 2023 | parameter estimationregression | CodeCode Available | 1 |
