Papers with Code 아카이브

Bayesian Inference

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 1
평가표: 1
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/google/bayesnf

공식 코드

Scalable Spatiotemporal Prediction with Bayesian Neural Fields

https://github.com/google/neural-tangents

공식 코드

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

https://github.com/gpapamak/snl

공식 코드

Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

https://github.com/graph-com/bayesian_inference_based_gnn

공식 코드

Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective

https://github.com/gwgundersen/rflvm

공식 코드

Scalable Random Feature Latent Variable Models

https://github.com/hadivafaii/poissonvae

공식 코드

Poisson Variational Autoencoder

https://github.com/haebeom-lee/l2b

공식 코드

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks

https://github.com/hagabbar/VItamin

공식 코드

Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

https://github.com/hagabbar/vitamin_b

공식 코드

Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

https://github.com/haidnguyen0909/myvt

공식 코드

Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems

https://github.com/haolsun/api

공식 코드

Attentional Prototype Inference for Few-Shot Segmentation

https://github.com/haritadell/npl_mmd_project

공식 코드

Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap

https://github.com/hasanmohsin/betapredbayes_fl

공식 코드

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space

https://github.com/hasanmohsin/betapredbayesfl

공식 코드

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space

https://github.com/hasanmohsin/fedpredspace_1round

공식 코드

Robust One Round Federated Learning with Predictive Space Bayesian Inference

https://github.com/hegdepashupati/gaussian-process-odes

공식 코드

Variational multiple shooting for Bayesian ODEs with Gaussian processes

https://github.com/henhagg/semple

공식 코드

Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings

https://github.com/henhagg/semple_mem

공식 코드

Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology

https://github.com/hezar1000/mta-inference-public

공식 코드

Better Peer Grading through Bayesian Inference

https://github.com/hguan6/differential_diagnosis

공식 코드

A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis

https://github.com/himelmallick/BayesRecipe

공식 코드

The Reciprocal Bayesian LASSO

https://github.com/holyshun/GP-PLM

공식 코드

Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model

https://github.com/hongyehu/pyclifford

공식 코드

Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows

https://github.com/hongyouc/fedbe

공식 코드

FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning

https://github.com/huangdaolang/aline

공식 코드

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition

https://github.com/hz0000/ebucb

공식 코드

Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework

https://github.com/ibm/rgan-demo-pytorch

공식 코드

Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling

https://github.com/idaholabresearch/bihnns

공식 코드

Bayesian Inference with Latent Hamiltonian Neural Networks

https://github.com/igomezv/neuralike

공식 코드

Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up

https://github.com/imbirik/liestationarykernels

공식 코드

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case

https://github.com/improbable-research/gen-posterior-abc

공식 코드

Generalized Posteriors in Approximate Bayesian Computation

https://github.com/infer-actively/pymdp

공식 코드

pymdp: A Python library for active inference in discrete state spaces

https://github.com/infprobscix/icecores

공식 코드

Ice Core Dating using Probabilistic Programming

https://github.com/intelligentEarth/surrogateBayeslands

공식 코드

Surrogate-assisted Bayesian inversion for landscape and basin evolution models

https://github.com/ipclab/vkfpos

공식 코드

VKFPos: A Learning-Based Monocular Positioning with Variational Bayesian Extended Kalman Filter Integration

https://github.com/is0383kk/symbolemergence-vae-gmm

공식 코드

Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models

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