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Bayesian Inference

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보존된 평가 기록: 2

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mackelab/markovsbi

공식 코드

Compositional simulation-based inference for time series

https://github.com/mackelab/preprocessing-ice-data

공식 코드

Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers

https://github.com/mackelab/rabi

공식 코드

Adversarial robustness of amortized Bayesian inference

https://github.com/mackelab/sbi-ice

공식 코드

Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers

https://github.com/mackelab/simformer

공식 코드

All-in-one simulation-based inference

https://github.com/mackelab/simulation_based_model_inference

공식 코드

Simultaneous identification of models and parameters of scientific simulators

https://github.com/mackelab/sinn

공식 코드

Inference of a mesoscopic population model from population spike trains

https://github.com/mackelab/snvi_repo

공식 코드

Variational methods for simulation-based inference

https://github.com/mad-stat/EGDL

공식 코드

Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak

https://github.com/maltamiranomontero/RCGP

공식 코드

Robust and Conjugate Gaussian Process Regression

https://github.com/manueich/Noise_Gamma

공식 코드

On the relationship between a Gamma distributed precision parameter and the associated standard deviation in the context of Bayesian parameter inference

https://github.com/marc-h-lambert/w-vi

공식 코드

Variational inference via Wasserstein gradient flows

https://github.com/marcelbinz/meta-learned-models

공식 코드

Meta-Learned Models of Cognition

https://github.com/marcharper/mpsim

공식 코드

Inferring Fitness in Finite Populations with Moran-like dynamics

https://github.com/marekpetrik/craam2

공식 코드

Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs

https://github.com/margueritetalamon/vi-mig

공식 코드

Variational Inference with Mixtures of Isotropic Gaussians

https://github.com/marius311/muse-implicit-paper

공식 코드

Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation

https://github.com/mariushobbhahn/Laplace_Matching_for_GLMs

공식 코드

Laplace Matching for fast Approximate Inference in Latent Gaussian Models

https://github.com/marleneberke/metacog

공식 코드

MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations

https://github.com/martinferianc/ComBiNet

공식 코드

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

https://github.com/martiningram/paired-comparison-gp-laplace

공식 코드

Gaussian Process Priors for Dynamic Paired Comparison Modelling

https://github.com/marvinpfoertner/linpde-gp

공식 코드

Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers

https://github.com/marvinschmitt/ModelMisspecificationBF

공식 코드

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks

https://github.com/marvinschmitt/self-consistency-abi

공식 코드

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference

https://github.com/mattapow/dodonaphy

공식 코드

Fidelity of Hyperbolic Space for Bayesian Phylogenetic Inference

https://github.com/matthewwicker/CertifiableBayesianInference

공식 코드

Bayesian Inference with Certifiable Adversarial Robustness

https://github.com/matthewwicker/GradientFreeAttacksBNNs

공식 코드

Gradient-Free Adversarial Attacks for Bayesian Neural Networks

https://github.com/mattiasegu/uncertainty_estimation_deep_learning

공식 코드

A General Framework for Uncertainty Estimation in Deep Learning

https://github.com/maxramgraber/ensemble-transport-smoothing-part-i

공식 코드

Ensemble transport smoothing. Part I: Unified framework

https://github.com/maxramgraber/ensemble-transport-smoothing-part-ii

공식 코드

Ensemble transport smoothing. Part II: Nonlinear updates

https://github.com/maxramgraber/triangular-transport-toolbox

공식 코드

A friendly introduction to triangular transport

https://github.com/maxxxzdn/gisaxs-reconstruction

공식 코드

Amortized Bayesian Inference of GISAXS Data with Normalizing Flows

https://github.com/mbackenkoehler/mjp_bridging

공식 코드

Analysis of Markov Jump Processes under Terminal Constraints

https://github.com/mdrpanwar/icl-bayesian-prism

공식 코드

In-Context Learning through the Bayesian Prism

https://github.com/mengxiangming/qcs-sgm-plus

공식 코드

QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models

https://github.com/mercurybench/ensemble-based-gradient

공식 코드

Ensemble-based gradient inference for particle methods in optimization and sampling

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