SOTAVerified

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.

( Image credit: Michael Betancourt )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 273 papers

TitleStatusHype
BlackJAX: Composable Bayesian inference in JAXCode5
SymbolicAI: A framework for logic-based approaches combining generative models and solversCode5
Language Model CascadesCode2
The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparisonCode2
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of ThoughtCode2
TensorFlow DistributionsCode2
Scenic: A Language for Scenario Specification and Scene GenerationCode1
Scalable Neural-Probabilistic Answer Set ProgrammingCode1
Sequential Monte Carlo Steering of Large Language Models using Probabilistic ProgramsCode1
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic ProgrammingCode1
Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and DeterministicCode1
RecSim NG: Toward Principled Uncertainty Modeling for Recommender EcosystemsCode1
Scaling Integer Arithmetic in Probabilistic ProgramsCode1
Scenic: A Language for Scenario Specification and Data GenerationCode1
Nonparametric Hamiltonian Monte CarloCode1
Planning as Inference in Epidemiological ModelsCode1
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming ApproachCode1
Automatic Differentiation Variational InferenceCode1
Inferring Signaling Pathways with Probabilistic ProgrammingCode1
SPPL: Probabilistic Programming with Fast Exact Symbolic InferenceCode1
BayesCard: Revitilizing Bayesian Frameworks for Cardinality EstimationCode1
Nonparametric Involutive Markov Chain Monte CarloCode1
D3p -- A Python Package for Differentially-Private Probabilistic ProgrammingCode1
Conditional independence by typingCode1
3DP3: 3D Scene Perception via Probabilistic ProgrammingCode1
Show:102550
← PrevPage 1 of 11Next →

No leaderboard results yet.