SOTAVerified

Uncertainty Quantification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 901–950 of 2366 papers

TitleStatusHype
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks—0
Fair Uncertainty Quantification for Depression Prediction—0
Analytic Mutual Information in Bayesian Neural Networks—0
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery—0
Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems—0
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows—0
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification—0
Data-Driven Robust Covariance Control for Uncertain Linear Systems—0
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation—0
Fast Likelihood-Free Parameter Estimation for Lévy Processes—0
Bayesian Evidential Learning for Few-Shot Classification—0
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction—0
Fast Uncertainty Estimates in Deep Learning Interatomic Potentials—0
Fast Uncertainty Quantification for Deep Object Pose Estimation—0
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks—0
Fast Value Tracking for Deep Reinforcement Learning—0
Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach—0
Geophysical inverse problems with measurement-guided diffusion models—0
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction—0
FedPop: A Bayesian Approach for Personalised Federated Learning—0
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification—0
Feedforward neural networks as statistical models: Improving interpretability through uncertainty quantification—0
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification—0
(f,Γ)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics—0
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models—0
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks—0
Bayesian Entropy Neural Networks for Physics-Aware Prediction—0
Data-driven polynomial chaos expansion for machine learning regression—0
Finite Element Method-enhanced Neural Network for Forward and Inverse Problems—0
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective—0
Comparing the quality of neural network uncertainty estimates for classification problems—0
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport—0
Analytical results for uncertainty propagation through trained machine learning regression models—0
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification—0
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling—0
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty—0
Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics—0
Complementing Semi-Supervised Learning with Uncertainty Quantification—0
Forecasting the future development in quality and value of professional football players for applications in team management—0
Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes—0
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks—0
Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares—0
FREIDA: A Framework for developing quantitative agent based models based on qualitative expert knowledge—0
Frequentist Guarantees of Distributed (Non)-Bayesian Inference—0
Accelerating Markov Random Field Inference with Uncertainty Quantification—0
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence—0
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions—0
Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures—0
Show:102550
← PrevPage 19 of 48Next →

No leaderboard results yet.