Probabilistic Programming

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30 shown of 92 papers with code (273 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• TensorFlow Distributions
  28 Nov 2017 8 repositories listed
  The TensorFlow Distributions library implements a vision of probability theory adapted to the modern deep-learning paradigm of end-to-end differentiable computation.
• Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs
  25 Aug 2017 5 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  For inference with Sequential Monte Carlo, this automatically yields improvements such as locally-optimal proposals and Rao-Blackwellization.
• Inference Compilation and Universal Probabilistic Programming
  31 Oct 2016 4 repositories listed
  We introduce a method for using deep neural networks to amortize the cost of inference in models from the family induced by universal probabilistic programming languages, establishing a framework that combines the…
• Automatic Differentiation Variational Inference
  2 Mar 2016 4 repositories listed
  Probabilistic modeling is iterative.
• The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison
  21 May 2024 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  First, we demonstrate the application of this paradigm on a simulated cosmic shear analysis for a Stage IV survey in 37- and 39-dimensional parameter spaces, comparing ΛCDM and a dynamical dark energy model…
• SymbolicAI: A framework for logic-based approaches combining generative models and solvers
  1 Feb 2024 3 repositories listed
  Through these operations based on in-context learning our framework enables the creation and evaluation of explainable computational graphs.
• Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
  24 Dec 2019 3 repositories listed Syntology ran 1 of 26 samples · 25 unverified
  NumPyro is a lightweight library that provides an alternate NumPy backend to the Pyro probabilistic programming language with the same modeling interface, language primitives and effect handling abstractions.
• Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale
  8 Jul 2019 3 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  Probabilistic programming languages (PPLs) are receiving widespread attention for performing Bayesian inference in complex generative models.
• An Introduction to Probabilistic Programming
  27 Sep 2018 3 repositories listed
  We start with a discussion of model-based reasoning and explain why conditioning is a foundational computation central to the fields of probabilistic machine learning and artificial intelligence.
• Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
  20 Jul 2018 3 repositories listed
  We present a novel probabilistic programming framework that couples directly to existing large-scale simulators through a cross-platform probabilistic execution protocol, which allows general-purpose inference engines…
• Simplifying debiased inference via automatic differentiation and probabilistic programming
  14 May 2024 2 repositories listed
  We introduce an algorithm that simplifies the construction of efficient estimators, making them accessible to a broader audience.
• Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
  5 Jun 2023 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  Even after fine-tuning and reinforcement learning, large language models (LLMs) can be difficult, if not impossible, to control reliably with prompts alone.
• Scenic: A Language for Scenario Specification and Data Generation
  13 Oct 2020 2 repositories listed
  We design a domain-specific language, Scenic, for describing scenarios that are distributions over scenes and the behaviors of their agents over time.
• $π$VAE: a stochastic process prior for Bayesian deep learning with MCMC
  17 Feb 2020 2 repositories listed
  We show that our framework can accurately learn expressive function classes such as Gaussian processes, but also properties of functions to enable statistical inference (such as the integral of a log Gaussian process).
• DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
  7 Feb 2020 2 repositories listed
  Since DynamicPPL is a modular, stand-alone library, any probabilistic programming system written in Julia, such as Turing.
• Automatic structured variational inference
  3 Feb 2020 2 repositories listed
  However, the performance of the variational approach depends on the choice of an appropriate variational family.
• Sinkhorn AutoEncoders
  2 Oct 2018 2 repositories listed
  We show that minimizing the p-Wasserstein distance between the generator and the true data distribution is equivalent to the unconstrained min-min optimization of the p-Wasserstein distance between the encoder…
• Scenic: A Language for Scenario Specification and Scene Generation
  25 Sep 2018 2 repositories listed
  We propose a new probabilistic programming language for the design and analysis of perception systems, especially those based on machine learning.
• Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
  31 Oct 2024 1 repository listed
  A naive approach introduces cubic time operations within an inference algorithm like HMC, but we reduce the running time to linear using fast linear algebra techniques.
• Markov Senior -- Learning Markov Junior Grammars to Generate User-specified Content
  12 Aug 2024 1 repository listed
  Our proposed method ``Markov Senior'' focuses on extracting positional and distance relations from single input samples to construct probabilistic rules to be used by Markov Junior.
• BlackJAX: Composable Bayesian inference in JAX
  16 Feb 2024 1 repository listed Syntology ran 6 of 10 samples · 4 unverified
  BlackJAX is a library implementing sampling and variational inference algorithms commonly used in Bayesian computation.
• Diffusion models for probabilistic programming
  1 Nov 2023 1 repository listed
  We propose Diffusion Model Variational Inference (DMVI), a novel method for automated approximate inference in probabilistic programming languages (PPLs).
• Scaling Integer Arithmetic in Probabilistic Programs
  25 Jul 2023 1 repository listed
  Distributions on integers are ubiquitous in probabilistic modeling but remain challenging for many of today's probabilistic programming languages (PPLs).
• From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought
  22 Jun 2023 1 repository listed
  Our architecture integrates two computational tools that have not previously come together: we model thinking with probabilistic programs, an expressive representation for commonsense reasoning; and we model meaning…
• Scalable Neural-Probabilistic Answer Set Programming
  14 Jun 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  The goal of combining the robustness of neural networks and the expressiveness of symbolic methods has rekindled the interest in Neuro-Symbolic AI.
• Push: Concurrent Probabilistic Programming for Bayesian Deep Learning
  10 Jun 2023 1 repository listed
  We introduce a library called Push that takes a probabilistic programming approach to Bayesian deep learning (BDL).
• Automating Model Comparison in Factor Graphs
  9 Jun 2023 1 repository listed
  Bayesian state and parameter estimation have been automated effectively in a variety of probabilistic programming languages.
• Bayesian Calibration of MEMS Accelerometers
  9 Jun 2023 1 repository listed
  This study aims to investigate the utilization of Bayesian techniques for the calibration of micro-electro-mechanical systems (MEMS) accelerometers.
• Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
  26 May 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  We present an exact Bayesian inference method for discrete statistical models, which can find exact solutions to a large class of discrete inference problems, even with infinite support and continuous priors.
• Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
  11 Apr 2023 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  We show on a variety of real-world problems that DADVI reliably finds good solutions with default settings (unlike ADVI) and, together with LR covariances, is typically faster and more accurate than standard ADVI.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.