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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 20 of 24: papers 1,901 to 2,000 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.

• FedPop: A Bayesian Approach for Personalised Federated Learning
  7 Jun 2022 0 repositories listed
• A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees
  6 Jun 2022 0 repositories listed
• Robust Calibration with Multi-domain Temperature Scaling
  6 Jun 2022 0 repositories listed
• Masked Bayesian Neural Networks : Computation and Optimality
  2 Jun 2022 0 repositories listed
• Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning
  30 May 2022 0 repositories listed
• Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model
  28 May 2022 0 repositories listed
• Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging
  27 May 2022 0 repositories listed
• Deep interpretable ensembles
  25 May 2022 0 repositories listed
• Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee
  22 May 2022 0 repositories listed
• Uncertainty Quantification for Transport in Porous media using Parameterized Physics Informed neural Networks
  19 May 2022 0 repositories listed
• Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels
  18 May 2022 0 repositories listed
• Finite Element Method-enhanced Neural Network for Forward and Inverse Problems
  17 May 2022 0 repositories listed
• Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data
  14 May 2022 0 repositories listed
• A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification
  13 May 2022 0 repositories listed
• Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems
  12 May 2022 0 repositories listed
• Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
  11 May 2022 0 repositories listed
• Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation
  11 May 2022 0 repositories listed
• Large Scale Probabilistic Simulation of Renewables Production
  10 May 2022 0 repositories listed
• A Unified Bayesian Framework for Pricing Catastrophe Bond Derivatives
  9 May 2022 0 repositories listed
• Controlled Dropout for Uncertainty Estimation
  6 May 2022 0 repositories listed
• A Deep Learning Approach to Dst Index Prediction
  5 May 2022 0 repositories listed
• DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation
  4 May 2022 0 repositories listed
• A Survey on Uncertainty Toolkits for Deep Learning
  2 May 2022 0 repositories listed
• ActPerFL: Active Personalized Federated Learning
  1 May 2022 0 repositories listed
• Deep Ensemble as a Gaussian Process Approximate Posterior
  30 Apr 2022 0 repositories listed
• Tailored Uncertainty Estimation for Deep Learning Systems
  29 Apr 2022 0 repositories listed
• A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement
  20 Apr 2022 0 repositories listed
• Self-Aware Personalized Federated Learning
  17 Apr 2022 0 repositories listed
• Automated Learning of Interpretable Models with Quantified Uncertainty
  12 Apr 2022 0 repositories listed
• Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics
  11 Apr 2022 0 repositories listed
• RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification
  11 Apr 2022 0 repositories listed
• MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems
  7 Apr 2022 0 repositories listed
• Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting
  4 Apr 2022 0 repositories listed
• Risk-Aware Control and Optimization for High-Renewable Power Grids
  2 Apr 2022 0 repositories listed
• DBCal: Density Based Calibration of classifier predictions for uncertainty quantification
  1 Apr 2022 0 repositories listed
• On efficient algorithms for computing near-best polynomial approximations to high-dimensional, Hilbert-valued functions from limited samples
  25 Mar 2022 0 repositories listed
• Bayesian Deep Learning with Multilevel Trace-class Neural Networks
  24 Mar 2022 0 repositories listed
• Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
  11 Mar 2022 0 repositories listed
• Bayesian Spatial Predictive Synthesis
  10 Mar 2022 0 repositories listed
• NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification
  3 Mar 2022 0 repositories listed
• Machine learning models predict calculation outcomes with the transferability necessary for computational catalysis
  2 Mar 2022 0 repositories listed
• Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection
  25 Feb 2022 0 repositories listed
• On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression
  24 Feb 2022 0 repositories listed
• Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate
  21 Feb 2022 0 repositories listed
• Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy
  20 Feb 2022 0 repositories listed
• Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks
  19 Feb 2022 0 repositories listed
• DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories
  15 Feb 2022 0 repositories listed
• Local approximation of operators
  13 Feb 2022 0 repositories listed
• Deep Learning to advance the Eigenspace Perturbation Method for Turbulence Model Uncertainty Quantification
  11 Feb 2022 0 repositories listed
• PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty
  10 Feb 2022 0 repositories listed
• A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems
  9 Feb 2022 0 repositories listed
• Model Architecture Adaption for Bayesian Neural Networks
  9 Feb 2022 0 repositories listed
• Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning
  8 Feb 2022 0 repositories listed
• Multi-model Ensemble Analysis with Neural Network Gaussian Processes
  8 Feb 2022 0 repositories listed
• Deformable Image Registration uncertainty quantification using deep learning for dose accumulation in adaptive proton therapy
  4 Feb 2022 0 repositories listed
• Non-parametric Uncertainty Assessment in Deep-Learning Based Affine Image Registration
  4 Feb 2022 0 repositories listed
• Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems
  31 Jan 2022 0 repositories listed
• Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
  31 Jan 2022 0 repositories listed
• A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
  26 Jan 2022 0 repositories listed
• Analytic Mutual Information in Bayesian Neural Networks
  24 Jan 2022 0 repositories listed
• Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification
  19 Jan 2022 0 repositories listed
• Machine Learning Enhances Algorithms for Quantifying Non-Equilibrium Dynamics in Correlation Spectroscopy Experiments to Reach Frame-Rate-Limited Time Resolution
  17 Jan 2022 0 repositories listed
• Better Uncertainty Quantification for Machine Translation Evaluation
  16 Jan 2022 0 repositories listed
• Probabilistic Mass Mapping with Neural Score Estimation
  14 Jan 2022 0 repositories listed
• An Overview of Uncertainty Quantification Methods for Infinite Neural Networks
  13 Jan 2022 0 repositories listed
• Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy
  11 Jan 2022 0 repositories listed
• Systems Challenges for Trustworthy Embodied Systems
  10 Jan 2022 0 repositories listed
• Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions
  9 Jan 2022 0 repositories listed
• Uncertainty Quantification Techniques for Space Weather Modeling: Thermospheric Density Application
  6 Jan 2022 0 repositories listed
• Bayesian Neural Hawkes Process for Event Uncertainty Prediction
  29 Dec 2021 0 repositories listed
• A data-centric weak supervised learning for highway traffic incident detection
  17 Dec 2021 0 repositories listed
• Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift
  16 Dec 2021 0 repositories listed
• Bayesian Graph Contrastive Learning
  15 Dec 2021 0 repositories listed
• A Complete Characterisation of ReLU-Invariant Distributions
  13 Dec 2021 0 repositories listed
• Gamifying optimization: a Wasserstein distance-based analysis of human search
  12 Dec 2021 0 repositories listed
• Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
  12 Dec 2021 0 repositories listed
• On Convergence of Federated Averaging Langevin Dynamics
  9 Dec 2021 0 repositories listed
• Dimension-Free Average Treatment Effect Inference with Deep Neural Networks
  2 Dec 2021 0 repositories listed
• Evaluation of mathematical questioning strategies using data collected through weak supervision
  2 Dec 2021 0 repositories listed
• Improving mathematical questioning in teacher training
  2 Dec 2021 0 repositories listed
• Linear-Time Probabilistic Solution of Boundary Value Problems
  1 Dec 2021 0 repositories listed
• Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
  1 Dec 2021 0 repositories listed
• Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification
  29 Nov 2021 0 repositories listed
• Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks
  29 Nov 2021 0 repositories listed
• Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports
  27 Nov 2021 0 repositories listed
• A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors
  26 Nov 2021 0 repositories listed
• Aggregation of Models, Choices, Beliefs, and Preferences
  23 Nov 2021 0 repositories listed
• Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations
  22 Nov 2021 0 repositories listed
• Probabilistic Deep Learning with Generalised Variational Inference
  22 Nov 2021 0 repositories listed
• Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
  17 Nov 2021 0 repositories listed
• Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network
  14 Nov 2021 0 repositories listed
• Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling
  11 Nov 2021 0 repositories listed
• Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes
  10 Nov 2021 0 repositories listed
• SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks
  10 Nov 2021 0 repositories listed
• Statistical Perspectives on Reliability of Artificial Intelligence Systems
  9 Nov 2021 0 repositories listed
• Uncertainty Quantification in Neural Differential Equations
  8 Nov 2021 0 repositories listed
• Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
  5 Nov 2021 0 repositories listed
• Source-to-Source Automatic Differentiation of OpenMP Parallel Loops
  2 Nov 2021 0 repositories listed
• Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
  1 Nov 2021 0 repositories listed
• Uncertainty quantification for ptychography using normalizing flows
  1 Nov 2021 0 repositories listed