SOTAVerified

Uncertainty Quantification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 2366 papers

TitleStatusHype
JaxSGMC: Modular stochastic gradient MCMC in JAXCode1
Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical SimulationsCode1
Decomposing Uncertainty for Large Language Models through Input Clarification EnsemblingCode1
Deep active subspaces - a scalable method for high-dimensional uncertainty propagationCode1
Deep Gaussian Process Emulation using Stochastic ImputationCode1
Deep Generative Classification of Blood Cell MorphologyCode1
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series ForecastingCode1
Bayesian Meta-Learning for the Few-Shot Setting via Deep KernelsCode1
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
Adaptive Conformal Predictions for Time SeriesCode1
Distribution-free binary classification: prediction sets, confidence intervals and calibrationCode1
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep LearningCode1
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural NetworksCode1
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
Edge Tracing using Gaussian Process RegressionCode1
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning PoliciesCode1
Error-quantified Conformal Inference for Time SeriesCode1
Evidential Deep Learning to Quantify Classification UncertaintyCode1
Evidential Turing ProcessesCode1
Training Normalizing Flows with the Information Bottleneck for Competitive Generative ClassificationCode1
Expert-Supervised Reinforcement Learning for Offline Policy Learning and EvaluationCode1
COMBO: Conservative Offline Model-Based Policy OptimizationCode1
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium MoleculesCode1
Federated Conformal Predictors for Distributed Uncertainty QuantificationCode1
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear ModulationCode1
AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation ModelsCode1
Calibrated Explanations for RegressionCode1
Disentangling Uncertainty in Machine Translation EvaluationCode1
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty QuantificationCode1
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval PredictorsCode1
GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative ModelsCode1
A Benchmark on Uncertainty Quantification for Deep Learning PrognosticsCode1
Gradient-free variational learning with conditional mixture networksCode1
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast ImagesCode1
Healing Products of Gaussian ProcessesCode1
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
Improved Online Conformal Prediction via Strongly Adaptive Online LearningCode1
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing FlowsCode1
Incorporating Interpretable Output Constraints in Bayesian Neural NetworksCode1
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic SimilaritiesCode1
Kernel Methods are Competitive for Operator LearningCode1
Language Model Uncertainty Quantification with Attention ChainCode1
Laplace Redux -- Effortless Bayesian Deep LearningCode1
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
Learning by example: fast reliability-aware seismic imaging with normalizing flowsCode1
Learning Physical Models that Can Respect Conservation LawsCode1
LiBRe: A Practical Bayesian Approach to Adversarial DetectionCode1
Differentiable sampling of molecular geometries with uncertainty-based adversarial attacksCode1
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decompositionCode1
Show:102550
← PrevPage 4 of 48Next →

No leaderboard results yet.