| 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 |
