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