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Uncertainty Quantification

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/dwu402/samoa-books

공식 코드

Likelihood-based estimation and prediction for a measles outbreak in Samoa

https://github.com/ecker-lab/FQ-Operator

공식 코드

Learning to Predict Structural Vibrations

https://github.com/ecker-lab/learning_vibrating_plates

공식 코드

Learning to Predict Structural Vibrations

https://github.com/edwarddavis1/valid_conformal_for_dynamic_gnn

공식 코드

Valid Conformal Prediction for Dynamic GNNs

https://github.com/efs-opensource/calibration-framework

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Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection

https://github.com/eliselyhan/predictive-inference

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Distribution-Free Predictive Inference under Unknown Temporal Drift

https://github.com/emanueleledda97/dropout_injection

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Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks

https://github.com/emanuelsommer/bnn_connecting_the_dots

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Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?

https://github.com/ensec-ai/vlm-uncertainty-bench

공식 코드

Uncertainty-Aware Evaluation for Vision-Language Models

https://github.com/ensta-u2is/dido

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Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression

https://github.com/erfanhajihashemi/Multi-model-Ensemble-Conformal-Prediction-in-Dynamic-Environments

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Multi-model Ensemble Conformal Prediction in Dynamic Environments

https://github.com/ericcjoyce/consensus-driven-uncertainty

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Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception

https://github.com/eth-sri/tableak

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TabLeak: Tabular Data Leakage in Federated Learning

https://github.com/ethz-randomwalk/polytopewalk

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PolytopeWalk: Sparse MCMC Sampling over Polytopes

https://github.com/evgeniael/probar

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Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses

https://github.com/fabianaltekrueger/wppnets

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WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution

https://github.com/facebookresearch/mlqe

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Unsupervised Quality Estimation for Neural Machine Translation

https://github.com/fair4hep/pfin4uqad

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Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks

https://github.com/farukalpay/information-bottleneck-beta-optimization

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Stable and Convexified Information Bottleneck Optimization via Symbolic Continuation and Entropy-Regularized Trajectories

https://github.com/fatimZJ/Covid-19-Project

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An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention cost

https://github.com/filippovaldettaro/finite-state-mdps

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Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs

https://github.com/fiveai/saod

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Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration

https://github.com/forgi86/sysid-neural-unc

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Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification

https://github.com/foruck/oc-immunity

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Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection

https://github.com/fqjin/swei-net

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SweiNet: Deep Learning Based Uncertainty Quantification for Ultrasound Shear Wave Elasticity Imaging

https://github.com/franblueee/psi-vgpmil

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Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection

https://github.com/franziska-schirrmacher/lpr-uncertainty

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Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition

https://github.com/fraunhofer-iais/second-moment-loss

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Wasserstein Dropout

https://github.com/frederikhoppe/UQ_high_dim_learning

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Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning

https://github.com/freshman97/lintransunet

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Dynamic Linear Transformer for 3D Biomedical Image Segmentation

https://github.com/g-tierney/stLDA-C_public

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Author Clustering and Topic Estimation for Short Texts

https://github.com/gauthiere/evalues-expand-cp

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E-Values Expand the Scope of Conformal Prediction

https://github.com/gdeng96/bsg

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Bayesian Spillover Graphs for Dynamic Networks

https://github.com/geekyifei/randomized-PINN

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Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation

https://github.com/geethen/geeconformal

공식 코드

Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction

https://github.com/genodeco/interpreting-anns-for-gwas

공식 코드

Interpreting artificial neural networks to detect genome-wide association signals for complex traits

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