Browse State-of-the-Art › Uncertainty Quantification › Papers, page 17

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 17 of 24: papers 1,601 to 1,700 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.

• Sharing Information Between Machine Tools to Improve Surface Finish Forecasting
  9 Oct 2023 0 repositories listed
• Improved Active Learning via Dependent Leverage Score Sampling
  8 Oct 2023 0 repositories listed
• HyperSINDy: Deep Generative Modeling of Nonlinear Stochastic Governing Equations
  7 Oct 2023 0 repositories listed
• Sparse Deep Learning for Time Series Data: Theory and Applications
  5 Oct 2023 0 repositories listed
• Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations
  5 Oct 2023 0 repositories listed
• Assessment of Prediction Intervals Using Uncertainty Characteristics Curves
  4 Oct 2023 0 repositories listed
• ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering
  4 Oct 2023 0 repositories listed
• Uncertainty Quantification in Inverse Models in Hydrology
  3 Oct 2023 0 repositories listed
• LoRA ensembles for large language model fine-tuning
  29 Sep 2023 0 repositories listed
• On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective
  29 Sep 2023 0 repositories listed
• Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior
  29 Sep 2023 0 repositories listed
• Uncertainty Quantification for Eosinophil Segmentation
  28 Sep 2023 0 repositories listed
• The Robust Semantic Segmentation UNCV2023 Challenge Results
  27 Sep 2023 0 repositories listed
• Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design
  27 Sep 2023 0 repositories listed
• Uncertainty Quantification via Neural Posterior Principal Components
  27 Sep 2023 0 repositories listed
• Characterising User Transfer Amid Industrial Resource Variation: A Bayesian Nonparametric Approach
  25 Sep 2023 0 repositories listed
• DPA-WNO: A gray box model for a class of stochastic mechanics problem
  24 Sep 2023 0 repositories listed
• Uncertainty-driven Exploration Strategies for Online Grasp Learning
  21 Sep 2023 0 repositories listed
• Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
  20 Sep 2023 0 repositories listed
• Adversarial Attacks Against Uncertainty Quantification
  19 Sep 2023 0 repositories listed
• Multi-fidelity climate model parameterization for better generalization and extrapolation
  19 Sep 2023 0 repositories listed
• Using AI Uncertainty Quantification to Improve Human Decision-Making
  19 Sep 2023 0 repositories listed
• A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes
  18 Sep 2023 0 repositories listed
• Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge
  18 Sep 2023 0 repositories listed
• Uncertainty Quantification of Autoencoder-based Koopman Operator
  18 Sep 2023 0 repositories listed
• A Critical Analysis of Internal Reliability for Uncertainty Quantification of Dense Image Matching in Multi-view Stereo
  17 Sep 2023 0 repositories listed
• Scalable Model-Based Gaussian Process Clustering
  14 Sep 2023 0 repositories listed
• Tree of Uncertain Thoughts Reasoning for Large Language Models
  14 Sep 2023 0 repositories listed
• Uncertainty quantification for learned ISTA
  14 Sep 2023 0 repositories listed
• Physics-informed Bayesian inference of external potentials in classical density-functional theory
  13 Sep 2023 0 repositories listed
• When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System
  13 Sep 2023 0 repositories listed
• Identifying Bayesian Optimal Experiments for Uncertain Biochemical Pathway Models
  12 Sep 2023 0 repositories listed
• Medical Image Segmentation with Belief Function Theory and Deep Learning
  12 Sep 2023 0 repositories listed
• Promises of Deep Kernel Learning for Control Synthesis
  12 Sep 2023 0 repositories listed
• Physics-informed reinforcement learning via probabilistic co-adjustment functions
  11 Sep 2023 0 repositories listed
• Data-driven Bayesian Control of Port-Hamiltonian Systems
  9 Sep 2023 0 repositories listed
• Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics
  8 Sep 2023 0 repositories listed
• Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty
  7 Sep 2023 0 repositories listed
• Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks
  6 Sep 2023 0 repositories listed
• Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
  5 Sep 2023 0 repositories listed
• Physics-Informed Polynomial Chaos Expansions
  4 Sep 2023 0 repositories listed
• Analysis of Diagnostics (Part I): Prevalence, Uncertainty Quantification, and Machine Learning
  30 Aug 2023 0 repositories listed
• Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness
  30 Aug 2023 0 repositories listed
• Inferences on Mixing Probabilities and Ranking in Mixed-Membership Models
  29 Aug 2023 0 repositories listed
• Distributionally Robust Statistical Verification with Imprecise Neural Networks
  28 Aug 2023 0 repositories listed
• Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution
  24 Aug 2023 0 repositories listed
• Probabilistic load forecasting with Reservoir Computing
  24 Aug 2023 0 repositories listed
• Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification
  23 Aug 2023 0 repositories listed
• Variational Density Propagation Continual Learning
  22 Aug 2023 0 repositories listed
• Deep Evidential Learning for Bayesian Quantile Regression
  21 Aug 2023 0 repositories listed
• Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling
  20 Aug 2023 0 repositories listed
• Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks
  16 Aug 2023 0 repositories listed
• Fast Risk Assessment in Power Grids through Novel Gaussian Process and Active Learning
  15 Aug 2023 0 repositories listed
• Comparing the quality of neural network uncertainty estimates for classification problems
  11 Aug 2023 0 repositories listed
• Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks
  11 Aug 2023 0 repositories listed
• Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction
  8 Aug 2023 0 repositories listed
• PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data
  8 Aug 2023 0 repositories listed
• Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing
  6 Aug 2023 0 repositories listed
• Spectral Ranking Inferences based on General Multiway Comparisons
  5 Aug 2023 0 repositories listed
• Towards the Development of an Uncertainty Quantification Protocol for the Natural Gas Industry
  5 Aug 2023 0 repositories listed
• Interpretable Machine Learning for Discovery: Statistical Challenges & Opportunities
  2 Aug 2023 0 repositories listed
• Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
  31 Jul 2023 0 repositories listed
• Current Methods for Drug Property Prediction in the Real World
  25 Jul 2023 0 repositories listed
• Model-free generalized fiducial inference
  24 Jul 2023 0 repositories listed
• Information-theoretic Analysis of Test Data Sensitivity in Uncertainty
  23 Jul 2023 0 repositories listed
• FREIDA: A Framework for developing quantitative agent based models based on qualitative expert knowledge
  21 Jul 2023 0 repositories listed
• EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation
  18 Jul 2023 0 repositories listed
• Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization
  18 Jul 2023 0 repositories listed
• Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
  16 Jul 2023 0 repositories listed
• Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields
  16 Jul 2023 0 repositories listed
• Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRI
  16 Jul 2023 0 repositories listed
• A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models
  12 Jul 2023 0 repositories listed
• Function-Space Regularization for Deep Bayesian Classification
  12 Jul 2023 0 repositories listed
• Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data
  10 Jul 2023 0 repositories listed
• Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected Resampling
  9 Jul 2023 0 repositories listed
• Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling
  5 Jul 2023 0 repositories listed
• Direct segmentation of brain white matter tracts in diffusion MRI
  5 Jul 2023 0 repositories listed
• Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness
  5 Jul 2023 0 repositories listed
• Last layer state space model for representation learning and uncertainty quantification
  4 Jul 2023 0 repositories listed
• Morse Neural Networks for Uncertainty Quantification
  2 Jul 2023 0 repositories listed
• Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting
  1 Jul 2023 0 repositories listed
• Spatiotemporal Besov Priors for Bayesian Inverse Problems
  28 Jun 2023 0 repositories listed
• UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
  28 Jun 2023 0 repositories listed
• Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems
  27 Jun 2023 0 repositories listed
• Enhanced multi-fidelity modelling for digital twin and uncertainty quantification
  26 Jun 2023 0 repositories listed
• SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models
  24 Jun 2023 0 repositories listed
• Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings
  13 Jun 2023 0 repositories listed
• User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
  13 Jun 2023 0 repositories listed
• Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
  8 Jun 2023 0 repositories listed
• Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
  8 Jun 2023 0 repositories listed
• Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling
  7 Jun 2023 0 repositories listed
• Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
  7 Jun 2023 0 repositories listed
• Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
  5 Jun 2023 0 repositories listed
• Distributionally robust uncertainty quantification via data-driven stochastic optimal control
  4 Jun 2023 0 repositories listed
• A General Framework for Uncertainty Quantification via Neural SDE-RNN
  1 Jun 2023 0 repositories listed
• A New PHO-rmula for Improved Performance of Semi-Structured Networks
  1 Jun 2023 0 repositories listed
• Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles
  1 Jun 2023 0 repositories listed
• Quantifying Deep Learning Model Uncertainty in Conformal Prediction
  1 Jun 2023 0 repositories listed
• Non-convex Bayesian Learning via Stochastic Gradient Markov Chain Monte Carlo
  30 May 2023 0 repositories listed
• Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality
  28 May 2023 0 repositories listed