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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 14 of 24: papers 1,301 to 1,400 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 Quantification in Alzheimer's Disease Progression Modeling
  13 Aug 2024 0 repositories listed
• Reference-free Hallucination Detection for Large Vision-Language Models
  11 Aug 2024 0 repositories listed
• The evolution of systems biology and systems medicine: From mechanistic models to uncertainty quantification
  10 Aug 2024 0 repositories listed
• Confident magnitude-based neural network pruning
  8 Aug 2024 0 repositories listed
• Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models
  8 Aug 2024 0 repositories listed
• Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling
  7 Aug 2024 0 repositories listed
• NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds
  7 Aug 2024 0 repositories listed
• Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks
  7 Aug 2024 0 repositories listed
• Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts
  6 Aug 2024 0 repositories listed
• DUST: A Framework for Data-Driven Density Steering
  5 Aug 2024 0 repositories listed
• Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification
  1 Aug 2024 0 repositories listed
• Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge
  30 Jul 2024 0 repositories listed
• Machine Learning for Predicting Chaotic Systems
  29 Jul 2024 0 repositories listed
• Uncertainty Quantification of Data Shapley via Statistical Inference
  28 Jul 2024 0 repositories listed
• Bayesian meta learning for trustworthy uncertainty quantification
  27 Jul 2024 0 repositories listed
• Multi-group Uncertainty Quantification for Long-form Text Generation
  25 Jul 2024 0 repositories listed
• Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics
  23 Jul 2024 0 repositories listed
• Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks
  19 Jul 2024 0 repositories listed
• Deterministic Trajectory Optimization through Probabilistic Optimal Control
  18 Jul 2024 0 repositories listed
• High-Dimensional Confidence Regions in Sparse MRI
  18 Jul 2024 0 repositories listed
• Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability
  18 Jul 2024 0 repositories listed
• With or Without Replacement? Improving Confidence in Fourier Imaging
  18 Jul 2024 0 repositories listed
• Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
  17 Jul 2024 0 repositories listed
• Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement
  16 Jul 2024 0 repositories listed
• SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification
  16 Jul 2024 0 repositories listed
• Improved Uncertainty Estimation of Graph Neural Network Potentials Using Engineered Latent Space Distances
  15 Jul 2024 0 repositories listed
• Gaussian process interpolation with conformal prediction: methods and comparative analysis
  11 Jul 2024 0 repositories listed
• Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
  10 Jul 2024 0 repositories listed
• Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory
  9 Jul 2024 0 repositories listed
• TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification
  9 Jul 2024 0 repositories listed
• JANET: Joint Adaptive predictioN-region Estimation for Time-series
  8 Jul 2024 0 repositories listed
• Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
  8 Jul 2024 0 repositories listed
• Data-centric challenges with the application and adoption of artificial intelligence for drug discovery
  6 Jul 2024 0 repositories listed
• Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
  3 Jul 2024 0 repositories listed
• Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data
  3 Jul 2024 0 repositories listed Syntology 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 7 harvested samples)
• Latent Diffusion Model for Generating Ensembles of Climate Simulations
  2 Jul 2024 0 repositories listed
• Uncertainty-Aware Decarbonization for Datacenters
  2 Jul 2024 0 repositories listed
• Bayesian Entropy Neural Networks for Physics-Aware Prediction
  1 Jul 2024 0 repositories listed
• LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation
  1 Jul 2024 0 repositories listed
• Multifidelity Cross-validation
  1 Jul 2024 0 repositories listed
• Neural Conditional Probability for Uncertainty Quantification
  1 Jul 2024 0 repositories listed Syntology 17 ran (of which 3 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 2 violated, 3 with no contract checked; 11 where Syntology's instrument failed) · 5 unverified (of 22 harvested samples) · 22 pointer-only (licence)
• DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety
  30 Jun 2024 0 repositories listed
• Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models
  30 Jun 2024 0 repositories listed
• Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer
  28 Jun 2024 0 repositories listed
• Uncertainty Quantification in Large Language Models Through Convex Hull Analysis
  28 Jun 2024 0 repositories listed
• A Thermo-Electro-Mechanical Model for Long-Term Reliability of Aging Transmission Lines
  27 Jun 2024 0 repositories listed
• Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
  27 Jun 2024 0 repositories listed
• Conformalized Link Prediction on Graph Neural Networks
  26 Jun 2024 0 repositories listed
• Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis
  21 Jun 2024 0 repositories listed
• Bayesian neural networks for predicting uncertainty in full-field material response
  21 Jun 2024 0 repositories listed
• Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning
  20 Jun 2024 0 repositories listed
• Graph Structure Learning with Interpretable Bayesian Neural Networks
  20 Jun 2024 0 repositories listed
• Random pairing MLE for estimation of item parameters in Rasch model
  20 Jun 2024 0 repositories listed
• Efficient gPC-based quantification of probabilistic robustness for systems in neuroscience
  19 Jun 2024 0 repositories listed
• Active search for Bifurcations
  17 Jun 2024 0 repositories listed
• CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction
  17 Jun 2024 0 repositories listed
• α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction
  16 Jun 2024 0 repositories listed
• Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework
  16 Jun 2024 0 repositories listed
• Trustworthy Artificial Intelligence in the Context of Metrology
  14 Jun 2024 0 repositories listed
• Assessment of Uncertainty Quantification in Universal Differential Equations
  13 Jun 2024 0 repositories listed
• Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scale
  13 Jun 2024 0 repositories listed
• Generative vs. Discriminative modeling under the lens of uncertainty quantification
  13 Jun 2024 0 repositories listed
• Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN
  12 Jun 2024 0 repositories listed
• Beyond the Norms: Detecting Prediction Errors in Regression Models
  11 Jun 2024 0 repositories listed
• Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
  11 Jun 2024 0 repositories listed
• Neural Visibility Field for Uncertainty-Driven Active Mapping
  11 Jun 2024 0 repositories listed
• Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
  11 Jun 2024 0 repositories listed
• A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty
  10 Jun 2024 0 repositories listed
• Linearization Turns Neural Operators into Function-Valued Gaussian Processes
  7 Jun 2024 0 repositories listed
• Stochastic full waveform inversion with deep generative prior for uncertainty quantification
  7 Jun 2024 0 repositories listed
• Cycles of Thought: Measuring LLM Confidence through Stable Explanations
  5 Jun 2024 0 repositories listed
• Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes
  5 Jun 2024 0 repositories listed
• Learning Cellular Network Connection Quality with Conformal
  4 Jun 2024 0 repositories listed
• To Believe or Not to Believe Your LLM
  4 Jun 2024 0 repositories listed
• A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning
  1 Jun 2024 0 repositories listed
• Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks
  31 May 2024 0 repositories listed
• Uncertainty Quantification for Deep Learning
  31 May 2024 0 repositories listed
• A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture
  30 May 2024 0 repositories listed
• Bayesian Uncertainty Quantification for Anaerobic Digestion models
  30 May 2024 0 repositories listed
• Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba
  27 May 2024 0 repositories listed
• A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation
  27 May 2024 0 repositories listed
• Kernel-based Optimally Weighted Conformal Prediction Intervals
  27 May 2024 0 repositories listed
• Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
  24 May 2024 0 repositories listed
• Score-based generative models are provably robust: an uncertainty quantification perspective
  24 May 2024 0 repositories listed
• Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
  24 May 2024 0 repositories listed
• Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction
  24 May 2024 0 repositories listed
• Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
  23 May 2024 0 repositories listed
• A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI
  22 May 2024 0 repositories listed
• Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling
  22 May 2024 0 repositories listed
• Regression Trees Know Calculus
  22 May 2024 0 repositories listed
• Stochastic Online Conformal Prediction with Semi-Bandit Feedback
  22 May 2024 0 repositories listed
• Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation
  21 May 2024 0 repositories listed
• Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
  21 May 2024 0 repositories listed
• Uncertainty quantification by block bootstrap for differentially private stochastic gradient descent
  21 May 2024 0 repositories listed
• Conditional Shift-Robust Conformal Prediction for Graph Neural Network
  20 May 2024 0 repositories listed
• Beyond Calibration: Assessing the Probabilistic Fit of Neural Regressors via Conditional Congruence
  20 May 2024 0 repositories listed
• Efficient Line Search Method Based on Regression and Uncertainty Quantification
  17 May 2024 0 repositories listed
• Model orthogonalization and Bayesian forecast mixing via Principal Component Analysis
  17 May 2024 0 repositories listed
• Improving Label Error Detection and Elimination with Uncertainty Quantification
  15 May 2024 0 repositories listed
• Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing
  13 May 2024 0 repositories listed

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced; each line links to that paper's sample list. Syntology's record for this page has not changed since 2026-09-28, the first build that kept a record date for it; when this build read Syntology's graph is in the build record. For agents: get_harvested_code_for_paper(arxiv_id) lists each paper's samples; how to connect.