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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/rottenivy/mv_pts_correlatederr

공식 코드

Multivariate Probabilistic Time Series Forecasting with Correlated Errors

https://github.com/roxie62/embed-and-emulate

공식 코드

Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification

https://github.com/rub-ksv/uncertaintyASR

공식 코드

Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification

https://github.com/rudazhang/gpsr

공식 코드

Gaussian Process Subspace Regression for Model Reduction

https://github.com/runame/laplace-redux

공식 코드

Laplace Redux -- Effortless Bayesian Deep Learning

https://github.com/rvdeo/bayes_prun

공식 코드

Compact Bayesian Neural Networks via pruned MCMC sampling

https://github.com/ryan-thompson/ProDAG.jl

공식 코드

ProDAG: Projected Variational Inference for Directed Acyclic Graphs

https://github.com/ryanmurphy42/murphy2023errormodels

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Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis, and prediction in the life sciences

https://github.com/salesforce/online_conformal

공식 코드

Improved Online Conformal Prediction via Strongly Adaptive Online Learning

https://github.com/samahkh/npb-rec

공식 코드

NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data

https://github.com/samcohen16/Healing-POEs-ICML

공식 코드

Healing Products of Gaussian Processes

https://github.com/samuelstanton/conformal-bayesopt

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Bayesian Optimization with Conformal Prediction Sets

https://github.com/sandialabs/bcnn

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We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty

https://github.com/sangdon/pac-ps-w

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PAC Prediction Sets Under Covariate Shift

https://github.com/sarahmart/llm-abs-armman-prediction

공식 코드

LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation

https://github.com/sarapohland/parce

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PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification

https://github.com/sbieringer/csmala

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Statistical guarantees for stochastic Metropolis-Hastings

https://github.com/scabras/covid19-bayes-dl

공식 코드

A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain

https://github.com/schubertm/MetaDetect

공식 코드

MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection

https://github.com/schyanzafar/edisc

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An Embedded Diachronic Sense Change Model with a Case Study from Ancient Greek

https://github.com/scikit-learn-contrib/mapie

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MAPIE: an open-source library for distribution-free uncertainty quantification

https://github.com/seedatnabeel/sscp

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Improving Adaptive Conformal Prediction Using Self-Supervised Learning

https://github.com/sergeyprokudin/deep_direct_stat

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Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

https://github.com/sergio20f/part_stoch_inf_deep

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Partially Stochastic Infinitely Deep Bayesian Neural Networks

https://github.com/shahineb/fairgp

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FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation

https://github.com/shai128/rrc

공식 코드

Achieving Risk Control in Online Learning Settings

https://github.com/shayankiyani98/cp

공식 코드

Length Optimization in Conformal Prediction

https://github.com/sheinkmana/ArchitectureofBNNs

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Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks

https://github.com/shounakchattopadhyay/NN-DM

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Nearest Neighbor Dirichlet Mixtures

https://github.com/simonbon/fishing

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FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection

https://github.com/simonmape/UQ-for-pdefind

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Bayesian uncertainty quantification for data-driven equation learning

https://github.com/sinatayebati/vlm-uncertainty

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Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models

https://github.com/sisl/distributed_admm_sampler

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Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers

https://github.com/sisl/interpretableselfawareprediction

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Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction

https://github.com/sjiang87/deephyper

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Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search

https://github.com/slimgroup/InvertibleNetworks.jl

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Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.