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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/Evan1578/BIPSDA

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Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems?

https://github.com/GIFRN/Rational-Probabilistic-Beliefs

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Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs

https://github.com/Gaochenyin/SurrConformalDR

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On the Role of Surrogates in Conformal Inference of Individual Causal Effects

https://github.com/GreenAutoML4FAS/UncertainSAM

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UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model

https://github.com/HEmile/neurosymbolic-diffusion

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Neurosymbolic Diffusion Models

https://github.com/HIT-DB-Group/Beauty

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Can Uncertainty Quantification Enable Better Learning-based Index Tuning?

https://github.com/HRMES-MOPGA/L96HistoryMatching

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Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model

https://github.com/HamidrezaEiv/EquiNO

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EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations

https://github.com/HeSunPU/DPI

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Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging

https://github.com/HilaManor/GaussianDenoisingPosterior

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On the Posterior Distribution in Denoising: Application to Uncertainty Quantification

https://github.com/IBM/UQ360

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Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI

https://github.com/ICB-DCM/pyPESTO

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pyPESTO: A modular and scalable tool for parameter estimation for dynamic models

https://github.com/IssamLaradji/GP_DRF

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Efficient Deep Gaussian Process Models for Variable-Sized Input

https://github.com/Janspiry/Palette-Image-to-Image-Diffusion-Models

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Conditional Generative Models for Contrast-Enhanced Synthesis of T1w and T1 Maps in Brain MRI

https://github.com/JayLago/LIFT

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Forecasting Local Ionospheric Parameters Using Transformers

https://github.com/JiangWenPL/FisherRF

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FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information

https://github.com/JinchengBai/sparse-variational-bnn

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Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee

https://github.com/JoeMWatson/input-inference-for-control

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Stochastic Optimal Control as Approximate Input Inference

https://github.com/JohannaXie/GauSS-MI

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GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction

https://github.com/JomaMinoza/Ocean-Floor-Mapping-with-Uncertainty-Aware-Deep-Learning

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Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor Mapping

https://github.com/KiljaeL/LOO-StabCP

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Leave-One-Out Stable Conformal Prediction

https://github.com/Lingkai-Kong/SDE-Net

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SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates

https://github.com/LoryPack/GenerativeNetworksScoringRulesProbabilisticForecasting

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Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization

https://github.com/MMunibas/PhysNet_DER

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Uncertainty quantification for predictions of atomistic neural networks

https://github.com/MaterialEyes/Vision_for_Microscopy

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Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images

https://github.com/MatteoTomasetto/SHRED-ROM

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Reduced Order Modeling with Shallow Recurrent Decoder Networks

https://github.com/MolecularAI/uq4dd

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Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR Models

https://github.com/Monoxido45/CSI

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Distribution-Free Calibration of Statistical Confidence Sets

https://github.com/Monoxido45/EPICSCORE

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Epistemic Uncertainty in Conformal Scores: A Unified Approach

https://github.com/MrHuff/GWI

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Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning

https://github.com/NISL-MSU/PredictionIntervals

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Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation

https://github.com/NVIDIA/modulus-makani

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Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators

https://github.com/OliverHennhoefer/cross-conformal-anomaly-detection

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Uncertainty Quantification in Anomaly Detection with Cross-Conformal $p$-Values

https://github.com/PredictiveIntelligenceLab/UQPINNs

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Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

https://github.com/SaverioVad/HAD_Net

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HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images

https://github.com/Shai128/ui

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Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting

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