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Uncertainty Quantification

Papers archive 2025-07-28

archive papers tagged: 2,366 · with a code link: 832 · where Syntology ran a sample: 220 (179 with a run with no instrument failure, 41 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (220 of 2,366 tagged: 179 with a run with no instrument failure, 41 where every run was a failure of Syntology's instrument)

Page 23 of 24: papers 2,201 to 2,300 of 2,366, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Uncertainty Prediction for Deep Sequential Regression Using Meta Models
  2 Jul 2020 0 repositories listed
• Unsupervised Calibration under Covariate Shift
  29 Jun 2020 0 repositories listed
• A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications
  26 Jun 2020 0 repositories listed
• Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
  26 Jun 2020 0 repositories listed
• A Deterministic Approximation to Neural SDEs
  16 Jun 2020 0 repositories listed
• Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
  15 Jun 2020 0 repositories listed
• Uncertainty Quantification for Inferring Hawkes Networks
  12 Jun 2020 0 repositories listed
• Fast Deep Mixtures of Gaussian Process Experts
  11 Jun 2020 0 repositories listed
• Calibration of the von Wolffersdorff model using Genetic Algorithms
  10 Jun 2020 0 repositories listed
• A generalized Bayes framework for probabilistic clustering
  9 Jun 2020 0 repositories listed
• Physics Informed Deep Kernel Learning
  8 Jun 2020 0 repositories listed
• Bayesian Hidden Physics Models: Uncertainty Quantification for Discovery of Nonlinear Partial Differential Operators from Data
  7 Jun 2020 0 repositories listed
• Sparse representation for damage identification of structural systems
  6 Jun 2020 0 repositories listed
• Entropy-Regularized 2-Wasserstein Distance between Gaussian Measures
  5 Jun 2020 0 repositories listed
• Semi-supervised deep learning for high-dimensional uncertainty quantification
  1 Jun 2020 0 repositories listed
• Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring
  1 Jun 2020 0 repositories listed
• Physically interpretable machine learning algorithm on multidimensional non-linear fields
  28 May 2020 0 repositories listed
• Uncertainty Evaluation Metric for Brain Tumour Segmentation
  28 May 2020 0 repositories listed
• Causal Bayesian Optimization
  24 May 2020 0 repositories listed
• Multi-view polarimetric scattering cloud tomography and retrieval of droplet size
  22 May 2020 0 repositories listed
• Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs
  2 May 2020 0 repositories listed
• Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models
  27 Apr 2020 0 repositories listed
• Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network
  25 Apr 2020 0 repositories listed
• Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics
  16 Apr 2020 0 repositories listed
• Hidden Markov Neural Networks
  15 Apr 2020 0 repositories listed
• Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring
  10 Apr 2020 0 repositories listed
• Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks
  9 Apr 2020 0 repositories listed
• Stochastic spectral embedding
  9 Apr 2020 0 repositories listed
• B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning
  6 Apr 2020 0 repositories listed
• Uncertainty Quantification for Demand Prediction in Contextual Dynamic Pricing
  16 Mar 2020 0 repositories listed
• B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
  13 Mar 2020 0 repositories listed
• Scalable Uncertainty for Computer Vision with Functional Variational Inference
  6 Mar 2020 0 repositories listed
• Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
  3 Mar 2020 0 repositories listed
• Composing Normalizing Flows for Inverse Problems
  26 Feb 2020 0 repositories listed
• Uncertainty Quantification for Sparse Deep Learning
  26 Feb 2020 0 repositories listed
• Learnable Bernoulli Dropout for Bayesian Deep Learning
  12 Feb 2020 0 repositories listed
• On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
  11 Feb 2020 0 repositories listed
• Statistical aspects of nuclear mass models
  11 Feb 2020 0 repositories listed
• Uncertainty Quantification for Bayesian Optimization
  4 Feb 2020 0 repositories listed
• Towards a Kernel based Uncertainty Decomposition Framework for Data and Models
  30 Jan 2020 0 repositories listed
• Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
  29 Jan 2020 0 repositories listed
• Certified and fast computations with shallow covariance kernels
  24 Jan 2020 0 repositories listed
• Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification
  19 Jan 2020 0 repositories listed
• Building high accuracy emulators for scientific simulations with deep neural architecture search
  17 Jan 2020 0 repositories listed
• Tackling small eigen-gaps: Fine-grained eigenvector estimation and inference under heteroscedastic noise
  14 Jan 2020 0 repositories listed
• Healing Gaussian Process Experts
  1 Jan 2020 0 repositories listed
• Machine Learning for Clouds and Climate
  1 Jan 2020 0 repositories listed
• On Semi-parametric Inference for BART
  1 Jan 2020 0 repositories listed
• Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network
  1 Jan 2020 0 repositories listed
• Optimal Uncertainty-guided Neural Network Training
  30 Dec 2019 0 repositories listed
• Solving Bayesian Inverse Problems via Variational Autoencoders
  5 Dec 2019 0 repositories listed
• Regression with Uncertainty Quantification in Large Scale Complex Data
  4 Dec 2019 0 repositories listed
• Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
  3 Dec 2019 0 repositories listed
• Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions
  20 Nov 2019 0 repositories listed
• Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty
  14 Nov 2019 0 repositories listed
• Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions
  14 Nov 2019 0 repositories listed
• Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference
  14 Nov 2019 0 repositories listed
• Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
  5 Nov 2019 0 repositories listed
• Predicting Weather Uncertainty with Deep Convnets
  2 Nov 2019 0 repositories listed
• Multivariate Uncertainty in Deep Learning
  31 Oct 2019 0 repositories listed
• Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning
  30 Oct 2019 0 repositories listed
• Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
  29 Oct 2019 0 repositories listed
• Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei
  28 Oct 2019 0 repositories listed
• Multiphase flow prediction with deep neural networks
  21 Oct 2019 0 repositories listed
• Batch simulations and uncertainty quantification in Gaussian process surrogate-based approximate Bayesian computation
  16 Oct 2019 0 repositories listed
• Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation
  14 Oct 2019 0 repositories listed
• Uncertainty Quantification and Exploration for Reinforcement Learning
  12 Oct 2019 0 repositories listed
• Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction
  7 Oct 2019 0 repositories listed
• AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING
  25 Sep 2019 0 repositories listed
• The Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions
  25 Sep 2019 0 repositories listed
• Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control
  21 Sep 2019 0 repositories listed
• Bayesian data assimilation to support informed decision-making in individualised chemotherapy
  20 Sep 2019 0 repositories listed
• Uncertainty Quantification in Stochastic Economic Dispatch using Gaussian Process Emulation
  20 Sep 2019 0 repositories listed
• Evaluating and Boosting Uncertainty Quantification in Classification
  13 Sep 2019 0 repositories listed
• Learned imaging with constraints and uncertainty quantification
  13 Sep 2019 0 repositories listed
• A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis
  27 Aug 2019 0 repositories listed
• Marginally-calibrated deep distributional regression
  26 Aug 2019 0 repositories listed
• Ensemble Neural Networks (ENN): A gradient-free stochastic method
  3 Aug 2019 0 repositories listed
• Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
  31 Jul 2019 0 repositories listed
• A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty
  26 Jul 2019 0 repositories listed
• Deep convolutional neural networks for uncertainty propagation in random fields
  24 Jul 2019 0 repositories listed
• Parameter Estimation and Uncertainty Quantification for Systems Biology Models
  26 Jun 2019 0 repositories listed
• Quality of Uncertainty Quantification for Bayesian Neural Network Inference
  24 Jun 2019 0 repositories listed
• Inference and Uncertainty Quantification for Noisy Matrix Completion
  10 Jun 2019 0 repositories listed
• Deep Compositional Spatial Models
  6 Jun 2019 0 repositories listed
• Distributed estimation of the inverse Hessian by determinantal averaging
  28 May 2019 0 repositories listed
• Generative Parameter Sampler For Scalable Uncertainty Quantification
  28 May 2019 0 repositories listed
• A Bulirsch-Stoer algorithm using Gaussian processes
  23 May 2019 0 repositories listed
• Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models
  20 May 2019 0 repositories listed
• Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes
  15 May 2019 0 repositories listed
• Seismic Bayesian evidential learning: Estimation and uncertainty quantification of sub-resolution reservoir properties
  14 May 2019 0 repositories listed
• Bayesian Deep Learning via Stochastic Gradient MCMC with a Stochastic Approximation Adaptation
  1 May 2019 0 repositories listed
• Functional Bayesian Neural Networks for Model Uncertainty Quantification
  1 May 2019 0 repositories listed
• Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout
  29 Apr 2019 0 repositories listed
• Perceptual Attention-based Predictive Control
  26 Apr 2019 0 repositories listed
• Influence of image segmentation on one-dimensional fluid dynamics predictions in the mouse pulmonary arteries
  23 Apr 2019 0 repositories listed
• NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation
  19 Apr 2019 0 repositories listed
• Parametrization of stochastic inputs using generative adversarial networks with application in geology
  7 Apr 2019 0 repositories listed
• Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification
  4 Apr 2019 0 repositories listed
• Robust Deep Gaussian Processes
  4 Apr 2019 0 repositories listed