| Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging | Oct 27, 2020 | compressed sensingImage Reconstruction | CodeCode Available | 1 |
| Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification | Feb 2, 2018 | Uncertainty Quantification | CodeCode Available | 1 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 |
| Distribution-free binary classification: prediction sets, confidence intervals and calibration | Jun 18, 2020 | Binary ClassificationClassification | CodeCode Available | 1 |
| CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought | Feb 24, 2025 | Mathematical ReasoningMisinformation | CodeCode Available | 1 |
| Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Jun 6, 2015 | Bayesian InferenceDeep Reinforcement Learning | CodeCode Available | 1 |
| Enabling Uncertainty Estimation in Iterative Neural Networks | Mar 25, 2024 | Bayesian OptimizationOut-of-Distribution Detection | CodeCode Available | 1 |
| Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes | Jul 20, 2020 | ClassificationGaussian Processes | CodeCode Available | 1 |
| Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels | Sep 6, 2024 | Drug Discoveryregression | CodeCode Available | 1 |
| Generating Evidential BEV Maps in Continuous Driving Space | Feb 6, 2023 | Autonomous Drivingobject-detection | CodeCode Available | 1 |
