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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/lauhaide/ragu

공식 코드

Uncertainty Quantification in Retrieval Augmented Question Answering

https://github.com/lblaoke/rf-dlc

공식 코드

Making Reliable and Flexible Decisions in Long-tailed Classification

https://github.com/lclarte/conformalamp.jl

공식 코드

Building Conformal Prediction Intervals with Approximate Message Passing

https://github.com/lclarte/expectation-consistency

공식 코드

Expectation consistency for calibration of neural networks

https://github.com/learningmatter-mit/Atomistic-Adversarial-Attacks

공식 코드

Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks

https://github.com/learningmatter-mit/uq_singlenn

공식 코드

Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

https://github.com/lee-group-cmu/cal-pit

공식 코드

Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR)

https://github.com/lee-group-cmu/lf2i

공식 코드

Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems

https://github.com/leojklarner/gauche

공식 코드

GAUCHE: A Library for Gaussian Processes in Chemistry

https://github.com/leolee99/pau

공식 코드

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval

https://github.com/leonardsiegert/PULPo

공식 코드

PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration

https://github.com/lequnwang/fair-two-stage-recommender

공식 코드

Uncertainty Quantification for Fairness in Two-Stage Recommender Systems

https://github.com/levishery/accelerateoed

공식 코드

Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design

https://github.com/lhirschfeld/ChempropUncertaintyQuantification

공식 코드

Uncertainty Quantification Using Neural Networks for Molecular Property Prediction

https://github.com/lightning-uq-box/lightning-uq-box

공식 코드

Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning

https://github.com/lihualei71/cfcausal

공식 코드

Conformal Inference of Counterfactuals and Individual Treatment Effects

https://github.com/lihualei71/cfcausalPaper

공식 코드

Conformal Inference of Counterfactuals and Individual Treatment Effects

https://github.com/lijunxian111/UIGNN

공식 코드

Uncertainty-aware Traffic Prediction under Missing Data

https://github.com/lingchen0331/uq_icl

공식 코드

Uncertainty Quantification for In-Context Learning of Large Language Models

https://github.com/lisa-wm/entropybaseduq

공식 코드

Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?

https://github.com/liusiyan/PI3NN

공식 코드

PI3NN: Out-of-distribution-aware prediction intervals from three neural networks

https://github.com/liuyuaa/SurvUnc

공식 코드

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis

https://github.com/ljb121002/ssvi

공식 코드

Training Bayesian Neural Networks with Sparse Subspace Variational Inference

https://github.com/llnl/gplasdi

공식 코드

Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations

https://github.com/llnl/ltau-ff

공식 코드

LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields

https://github.com/long-da/kbass

공식 코드

Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels

https://github.com/longda98me/A-United-Framework-to-Integrate-Physics-into-Gaussian-Processes

공식 코드

AutoIP: A United Framework to Integrate Physics into Gaussian Processes

https://github.com/loriaj/alphastablennet

공식 코드

Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance

https://github.com/lorypack/lfi_gen_networks_srs

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Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization

https://github.com/lshaw8317/mlmcfordms

공식 코드

Bayesian computation with generative diffusion models by Multilevel Monte Carlo

https://github.com/ltpritamanand/-PI-IN-SVM-

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Uncertainty Quantification in SVM prediction

https://github.com/lucky-fan/gp_tse

공식 코드

Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes

https://github.com/luigiriz/nops

공식 코드

Novel Class Discovery for 3D Point Cloud Semantic Segmentation

https://github.com/luisoala/inn

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Interval Neural Networks: Uncertainty Scores

https://github.com/lukemmtravis/Debiased-SVB

공식 코드

A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression

https://github.com/luo-lorry/CIA

공식 코드

Conformalized Interval Arithmetic with Symmetric Calibration

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