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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/predict-idlab/cmc-learner

공식 코드

Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects

https://github.com/predict-idlab/dose-response-conformal-prediction

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Conformal Prediction for Dose-Response Models with Continuous Treatments

https://github.com/predict-idlab/landmark-uq

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Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction

https://github.com/predictive-analytics-lab/qbold-vi

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Flexible Amortized Variational Inference in qBOLD MRI

https://github.com/predictiveintelligencelab/uqdeeponet

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Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors

https://github.com/predictivesciencelab/pift-paper-2023

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Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty Quantification

https://github.com/prs-eth/film-ensemble

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FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation

https://github.com/psc25/globaluat

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Global universal approximation of functional input maps on weighted spaces

https://github.com/ptarling/DeepLearningFishCounting

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Deep learning with self-supervision and uncertainty regularization to count fish in underwater images

https://github.com/ptflores1/improved-pinn-uq

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Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles

https://github.com/pthomaslab/sdp-inference

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Moment-based parameter inference with error guarantees for stochastic reaction networks

https://github.com/purpleleaves007/wiopen

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WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework

https://github.com/pushinelee/cdp

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Conformal Depression Prediction

https://github.com/pytorch/fairseq

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Unsupervised Quality Estimation for Neural Machine Translation

https://github.com/qiu-hongxiang-david/apacpredset

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Prediction Sets Adaptive to Unknown Covariate Shift

https://github.com/qjy415417122/sa-roundtrip

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Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler

https://github.com/rachaellnihalaani/slicepropuq

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Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation

https://github.com/raghavian/cFlow

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Uncertainty quantification in medical image segmentation with normalizing flows

https://github.com/ragmeh11/qu-brats

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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

https://github.com/rahulrahaman/Uncertainty-Quantification-and-Deep-Ensemble

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Uncertainty Quantification and Deep Ensembles

https://github.com/ramdrop/rcir

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Risk Controlled Image Retrieval

https://github.com/rangamanilabucsd/ciukf-mcmc

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Bayesian Parameter Estimation for Dynamical Models in Systems Biology

https://github.com/relh/FAE-HMI-SI

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Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification

https://github.com/remosasso/psdrl

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Posterior Sampling for Deep Reinforcement Learning

https://github.com/rezaarezvan/MVEX11

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ClaudesLens: Uncertainty Quantification in Computer Vision Models

https://github.com/rishi2019194/deep_learning_project

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Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection

https://github.com/robertsi20/Conceptualizing-Uncertainty

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Conceptualizing Uncertainty

https://github.com/robin-janssen/codes-benchmark

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CODES: Benchmarking Coupled ODE Surrogates

https://github.com/roelhulsman/ConformalNoduleDetection

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Conformal Risk Control for Pulmonary Nodule Detection

https://github.com/rohitkt10/deep-uq-paper

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Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification

https://github.com/romainlitud/uncertainty-aware-traffic-speed-flow-demand-prediction

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Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data?

https://github.com/ronmckay/uqgan

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UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs

https://github.com/roosephu/slbo

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Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

https://github.com/rose-stl-lab/copulacpts

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Copula Conformal Prediction for Multi-step Time Series Forecasting

https://github.com/rosewang2008/calibrate_your_listeners

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Calibrate your listeners! Robust communication-based training for pragmatic speakers

https://github.com/rottenivy/betterbatch

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Better Batch for Deep Probabilistic Time Series Forecasting

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