| Non-reversible Gaussian processes for identifying latent dynamical structure in neural data | Dec 1, 2020 | Gaussian ProcessesModel Selection | —Unverified | 0 |
| Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs | Nov 30, 2020 | Experimental DesignUncertainty Quantification | —Unverified | 0 |
| A Backward SDE Method for Uncertainty Quantification in Deep Learning | Nov 28, 2020 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 |
| Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules | Nov 28, 2020 | Drug DiscoveryUncertainty Quantification | CodeCode Available | 1 |
| Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval | Nov 25, 2020 | Computational EfficiencyImage Retrieval | —Unverified | 0 |
| Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs | Nov 24, 2020 | Out-of-Distribution Detectionreinforcement-learning | —Unverified | 0 |
| Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry | Nov 19, 2020 | Deep LearningGenerative Adversarial Network | —Unverified | 0 |
| Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification | Nov 18, 2020 | regressionUncertainty Quantification | CodeCode Available | 2 |
| Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling | Nov 17, 2020 | DecoderUncertainty Quantification | —Unverified | 0 |
| Denoising Score-Matching for Uncertainty Quantification in Inverse Problems | Nov 16, 2020 | DenoisingMRI Reconstruction | CodeCode Available | 0 |
| Fast Uncertainty Quantification for Deep Object Pose Estimation | Nov 16, 2020 | ObjectPose Estimation | —Unverified | 0 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking | Nov 13, 2020 | Multi-Object TrackingObject Tracking | —Unverified | 0 |
| A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges | Nov 12, 2020 | Decision MakingEnsemble Learning | —Unverified | 0 |
| (f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics | Nov 11, 2020 | Image GenerationUncertainty Quantification | —Unverified | 0 |
| Uncertainty estimation for molecular dynamics and sampling | Nov 10, 2020 | Active LearningBIG-bench Machine Learning | CodeCode Available | 1 |
| Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging | Nov 10, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals | Nov 3, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process | Nov 3, 2020 | Dimensionality ReductionGaussian Processes | —Unverified | 0 |
| Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging | Oct 27, 2020 | compressed sensingImage Reconstruction | CodeCode Available | 1 |
| Incorporating Interpretable Output Constraints in Bayesian Neural Networks | Oct 21, 2020 | FairnessUncertainty Quantification | CodeCode Available | 1 |
| Reweighting samples under covariate shift using a Wasserstein distance criterion | Oct 19, 2020 | Uncertainty Quantification | —Unverified | 0 |
| KrigHedge: Gaussian Process Surrogates for Delta Hedging | Oct 16, 2020 | LEMMAUncertainty Quantification | CodeCode Available | 0 |
| Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting | Oct 14, 2020 | GPUUncertainty Quantification | CodeCode Available | 1 |
| Emulator-based global sensitivity analysis for flow-like landslide run-out models | Oct 8, 2020 | FrictionSensitivity | —Unverified | 0 |
