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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/icpm-kth/uqsa

공식 코드

UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network Models

https://github.com/ifiaposto/distance_aware_bottleneck

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A Rate-Distortion View of Uncertainty Quantification

https://github.com/iinemo/lm-polygraph

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Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

https://github.com/ika-rwth-aachen/occuq

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OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction

https://github.com/intelligentEarth/surrogateBayeslands

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Surrogate-assisted Bayesian inversion for landscape and basin evolution models

https://github.com/ionutfarcas/context-aware-mfmc

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Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification

https://github.com/irmlma/uncertainty-quantification-snf

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Uncertainty quantification and out-of-distribution detection using surjective normalizing flows

https://github.com/ituvisionlab/EvidentialCalibration

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Evidential Turing Processes

https://github.com/ituvisionlab/evidentialturingprocess

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Evidential Turing Processes

https://github.com/ivernon/tense

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Bayesian Emulation for Computer Models with Multiple Partial Discontinuities

https://github.com/iweisskohl/deep-evidential-fusion

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Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation

https://github.com/ixblue/RecursiveKalmanNet

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Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification

https://github.com/j4ckliu/sacp

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Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification

https://github.com/jaburke166/gaussian_process_edge_trace

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Edge Tracing using Gaussian Process Regression

https://github.com/jadie1/bvib-deepssm

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Fully Bayesian VIB-DeepSSM

https://github.com/jadie1/medseguq

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Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation

https://github.com/jakesnell/ove-polya-gamma-gp

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Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes

https://github.com/jamesdolezal/biscuit

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Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology

https://github.com/jamesdolezal/slideflow

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Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology

https://github.com/jamesmcinerney/implicit-delta

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The Implicit Delta Method

https://github.com/jangseop-park/point-deeponet

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Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load Conditions

https://github.com/javierorjuela/medical-interpretability-polyp-detection

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Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging

https://github.com/jcj7292/multicriteria-catalyst-discovery-using-automated-feature-extraction-bayesian-optimization

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Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning

https://github.com/jeongeun980906/CLARA-SaGC-Code

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CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents

https://github.com/jianf-wang/np-semiseg

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NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation

https://github.com/jiaxin-xu/point2

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POINT$^{2}$: A Polymer Informatics Training and Testing Database

https://github.com/jichao1/wgan-gp

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Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models

https://github.com/jimengshi/codicast

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CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification

https://github.com/jingweisong/nrsfm_uncertainty

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A Closed-Form Uncertainty Propagation in Non-Rigid Structure from Motion

https://github.com/jinhaoduan/sar

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Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

https://github.com/jinhaoduan/shifting-attention-to-relevance

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Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

https://github.com/jinhaoduan/uprop

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UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

https://github.com/jjdabr/BPINN-Wildfire

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Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires

https://github.com/jjfeng/bc-llm

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Bayesian Concept Bottleneck Models with LLM Priors

https://github.com/jkneifl/VENI-VINDy-VICI

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VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification

https://github.com/jmaronas/calibration_MixupDNN_ARCLoss.pytorch

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On Calibration of Mixup Training for Deep Neural Networks

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