Gen A General Purpose Probabilistic Programming System With Programmable Inference Information Guide

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  2. Important Facts
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Introduction on Gen A General Purpose Probabilistic Programming System With Programmable Inference

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Gen: A General-Purpose Probabilistic Programming System | Marco Cusumano-Towner | JuliaCon 2019 Guide
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GEN Presented at the Programming Language Design and Implementation Conference
GEN Presented at the Programming Language Design and Implementation Conference
Marco Cusumano-Towner: Gen: A Flexible System for Programming Probabilistic AI
Marco Cusumano-Towner: Gen: A Flexible System for Programming Probabilistic AI
Martin Jankowiak - Brief Introduction to Probabilistic Programming
Martin Jankowiak - Brief Introduction to Probabilistic Programming
CAV 2020 Tutorial: Probabilistic Programming: A Guide for Verificationists
CAV 2020 Tutorial: Probabilistic Programming: A Guide for Verificationists
Probabilistic Inference in Simulators | AI & Physics | Atılım Güneş Baydin
Probabilistic Inference in Simulators | AI & Physics | Atılım Güneş Baydin
Incremental Inference for Probabilistic Programs
Incremental Inference for Probabilistic Programs
Probabilistic Programming for Augmented Intelligence
Probabilistic Programming for Augmented Intelligence
Paradigms of Probabilistic Programming
Paradigms of Probabilistic Programming
MIT's New Programming Language for AI and ML- Gen
MIT's New Programming Language for AI and ML- Gen
Inference Compilation and Universal Probabilistic Programming
Inference Compilation and Universal Probabilistic Programming
[POPL 2021] Paradoxes of probabilistic programming (full)
[POPL 2021] Paradoxes of probabilistic programming (full)

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Last Updated: September 30, 2026

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pldi19.sigplan.org/details/pldi-2019-papers/45/ Gen: A General-Purpose Probabilistic Programming System with Programmable Inference So in this talk I'm going to try to propose that we should consider a change to the conceptual model of Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... Session 1B: CAV 2020 Tutorial B, Chair: Shuvendu Lahiri Speaker: Sriram Sankaranarayanan Atılım Güneş Baydin – Postdoctoral Researcher, University of Oxford The Applied Machine Learning Days channel features talks ... Vikash Mansinghka, MIT simons.berkeley.edu/talks/vikash-mansinghka-10-06-2016 Uncertainty in Computation. A team of MIT researchers is making it easier for novices to get their feet wet with artificial intelligence, while also helping experts ... Jules Jacobs (Radboud University Nijmegen) Paper: dl.acm.org/doi/pdf/10.1145/3434339 Abstract

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