| DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model | May 31, 2023 | Decision Makingenergy management | CodeCode Available | 1 |
| 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 |
| Non-convex Bayesian Learning via Stochastic Gradient Markov Chain Monte Carlo | May 30, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification | May 30, 2023 | DiversityImage Generation | CodeCode Available | 0 |
| Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models | May 30, 2023 | ManagementQuestion Answering | CodeCode Available | 1 |
| Probabilistic computation and uncertainty quantification with emerging covariance | May 30, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification | May 28, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Conformal Prediction with Large Language Models for Multi-Choice Question Answering | May 28, 2023 | Conformal PredictionMultiple-choice | CodeCode Available | 1 |
| Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality | May 28, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian Spike Train Inference via Non-Local Priors | May 27, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Federated Conformal Predictors for Distributed Uncertainty Quantification | May 27, 2023 | Conformal PredictionFederated Learning | CodeCode Available | 1 |
| USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution | May 27, 2023 | Active LearningDepth Estimation | —Unverified | 0 |
| Better Batch for Deep Probabilistic Time Series Forecasting | May 26, 2023 | Decision MakingProbabilistic Time Series Forecasting | CodeCode Available | 0 |
| Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks | May 26, 2023 | Gaussian Processesregression | —Unverified | 0 |
| Bi-fidelity Variational Auto-encoder for Uncertainty Quantification | May 25, 2023 | Computational EfficiencyDecoder | CodeCode Available | 0 |
| Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra | May 25, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Probabilistic Exponential Integrators | May 24, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods | May 24, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference | May 24, 2023 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning | May 24, 2023 | Traffic Sign RecognitionUncertainty Quantification | —Unverified | 0 |
| Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics | May 23, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification over Graph with Conformalized Graph Neural Networks | May 23, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| UPNet: Uncertainty-based Picking Deep Learning Network for Robust First Break Picking | May 23, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Uncertainty and Structure in Neural Ordinary Differential Equations | May 22, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems | May 22, 2023 | DeblurringImage Deblurring | —Unverified | 0 |
| Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance | May 18, 2023 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification in Deep Neural Networks through Statistical Inference on Latent Space | May 18, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems | May 17, 2023 | ColorizationComputational Efficiency | CodeCode Available | 1 |
| Synthetic data, real errors: how (not) to publish and use synthetic data | May 16, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification | May 15, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior | May 15, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Online machine-learning forecast uncertainty estimation for sequential data assimilation | May 12, 2023 | Uncertainty Quantification | —Unverified | 0 |
| ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks | May 10, 2023 | Deep LearningGraph Attention | —Unverified | 0 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 |
| On the Limitations of Model Stealing with Uncertainty Quantification Models | May 9, 2023 | DiversityUncertainty Quantification | —Unverified | 0 |
| Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods | May 8, 2023 | parameter estimationUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial | May 7, 2023 | Decision MakingManagement | CodeCode Available | 1 |
| Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics | May 7, 2023 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Correcting for Interference in Experiments: A Case Study at Douyin | May 4, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification | May 4, 2023 | SegmentationSelf-Supervised Learning | —Unverified | 0 |
| Calibrated Explanations: with Uncertainty Information and Counterfactuals | May 3, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| pyPESTO: A modular and scalable tool for parameter estimation for dynamic models | May 2, 2023 | parameter estimationUncertainty Quantification | CodeCode Available | 2 |
| Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles | May 2, 2023 | Active LearningDomain Generalization | CodeCode Available | 0 |
| Personalized Federated Learning under Mixture of Distributions | May 1, 2023 | Federated LearningPersonalized Federated Learning | CodeCode Available | 1 |
| Proper Scoring Rules for Survival Analysis | May 1, 2023 | Survival AnalysisUncertainty Quantification | CodeCode Available | 0 |
| Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data | May 1, 2023 | Decision MakingLung Nodule Segmentation | CodeCode Available | 1 |
| Posterior Sampling for Deep Reinforcement Learning | Apr 30, 2023 | Computational EfficiencyDeep Reinforcement Learning | CodeCode Available | 1 |
| EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations | Apr 29, 2023 | Feature Importancemodel | —Unverified | 0 |
| Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions | Apr 27, 2023 | Uncertainty Quantification | —Unverified | 0 |
