SOTAVerified

Uncertainty Quantification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–850 of 2366 papers

TitleStatusHype
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural NetworksCode0
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKACode0
Conformal online model aggregationCode0
Conformal Off-policy PredictionCode0
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty QuantificationCode0
Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte CarloCode0
Bayesian Evidential Deep Learning with PAC RegularizationCode0
A Brief Review of Hypernetworks in Deep LearningCode0
Building Conformal Prediction Intervals with Approximate Message PassingCode0
Evaluating Uncertainty in Deep Gaussian ProcessesCode0
E-Values Expand the Scope of Conformal PredictionCode0
Structured Variational Inference in Continuous Cox Process ModelsCode0
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures EmulationCode0
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty QuantificationCode0
Flexible Amortized Variational Inference in qBOLD MRICode0
Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy ImagesCode0
Horseshoe Regularization for Feature Subset SelectionCode0
Surrogate-assisted parallel tempering for Bayesian neural learningCode0
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image ClassificationCode0
Robust Conformal Volume Estimation in 3D Medical ImagesCode0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators—0
Conformalized Link Prediction on Graph Neural Networks—0
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification—0
A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees—0
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning—0
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback—0
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes—0
A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts—0
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging—0
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks—0
A Unified Bayesian Framework for Pricing Catastrophe Bond Derivatives—0
Conformal forecasting for surgical instrument trajectory—0
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites—0
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems—0
AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING—0
Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization—0
A Thermo-Electro-Mechanical Model for Long-Term Reliability of Aging Transmission Lines—0
A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information—0
Active search for Bifurcations—0
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis—0
Confident magnitude-based neural network pruning—0
A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression—0
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning—0
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology—0
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble—0
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks—0
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification—0
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices—0
Conditional Variational Autoencoder for Learned Image Reconstruction—0
Show:102550
← PrevPage 17 of 48Next →

No leaderboard results yet.