Probabilistic Programming

Probabilistic programming languages are designed to describe probabilistic models and then perform inference in those models. PPLs are closely related to graphical models and Bayesian networks, but are more expressive and flexible.

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Papers

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Showing 26–50 of 273 papers

Title	Date	Tasks	Status	Hype	Score
Planning as Inference in Epidemiological Models	Mar 30, 2020	Probabilistic Programming	CodeCode Available	1	5
Scenic: A Language for Scenario Specification and Data Generation	Oct 13, 2020	Probabilistic ProgrammingSynthetic Data Generation	CodeCode Available	1	5
TreeFlow: probabilistic programming and automatic differentiation for phylogenetics	Nov 9, 2022	Probabilistic Programming	CodeCode Available	1	5
Conditional independence by typing	Oct 22, 2020	Probabilistic Programming	CodeCode Available	1	5
Inferring Signaling Pathways with Probabilistic Programming	May 28, 2020	Probabilistic Programming	CodeCode Available	1	5
3DP3: 3D Scene Perception via Probabilistic Programming	Oct 30, 2021	ObjectPose Estimation	CodeCode Available	1	5
Inference Compilation and Universal Probabilistic Programming	Oct 31, 2016	Probabilistic Programming	CodeCode Available	0	5
Joint Distributions for TensorFlow Probability	Jan 22, 2020	Probabilistic Programming	CodeCode Available	0	5
Ice Core Dating using Probabilistic Programming	Oct 29, 2022	Probabilistic Programming	CodeCode Available	0	5
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models	Oct 31, 2024	Probabilistic Programming	CodeCode Available	0	5
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation	Sep 21, 2022	Bayesian InferenceProbabilistic Programming	CodeCode Available	0	5
Financial Data Analysis Using Expert Bayesian Framework For Bankruptcy Prediction	Oct 19, 2020	ManagementMedical Diagnosis	CodeCode Available	0	5
Functional Tensors for Probabilistic Programming	Oct 23, 2019	Probabilistic Programming	CodeCode Available	0	5
Exploring Bayesian approaches to eQTL mapping through probabilistic programming	Jun 12, 2019	Probabilistic Programmingregression	CodeCode Available	0	5
Bayesian Calibration of MEMS Accelerometers	Jun 9, 2023	Probabilistic Programming	CodeCode Available	0	5
Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming	Sep 30, 2018	Probabilistic ProgrammingRepresentation Learning	CodeCode Available	0	5
Hamiltonian Monte Carlo for Probabilistic Programs with Discontinuities	Apr 7, 2018	Probabilistic Programming	CodeCode Available	0	5
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models	Mar 6, 2019	Probabilistic Programming	CodeCode Available	0	5
Applying Probabilistic Programming to Affective Computing	Mar 15, 2019	Probabilistic Programming	CodeCode Available	0	5
Diffusion models for probabilistic programming	Nov 1, 2023	Probabilistic ProgrammingVariational Inference	CodeCode Available	0	5
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes	Nov 5, 2016	Missing ValuesProbabilistic Programming	CodeCode Available	0	5
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms	Nov 8, 2018	Bayesian Inferenceparameter estimation	CodeCode Available	0	5
A Bayesian Monte Carlo approach for predicting the spread of infectious diseases	Apr 26, 2019	Bayesian InferenceDisease Prediction	CodeCode Available	0	5
Differentiable Quantum Programming with Unbounded Loops	Nov 8, 2022	Probabilistic Programming	CodeCode Available	0	5
Automating Model Comparison in Factor Graphs	Jun 9, 2023	modelparameter estimation	CodeCode Available	0	5

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