Accelerating Search Based Program Synthesis Using Learned Probabilistic Models

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Overview to Accelerating Search Based Program Synthesis Using Learned Probabilistic Models

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Key Details

Full Just-in-Time Learning for Bottom-Up Enumerative Synthesis Guide

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Developments

Details Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling Guide

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Program Synthesis using Examples

Causal Probabilistic Programming: Automating Reasoning In Simulation Models

Feras Saad: Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling

CS3100 POP - Lec 47 - Program Synthesis + Graph Search

Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)

Trace Abstraction Modulo Probability

Ulrich Schaechtle: Automated data modeling for science via Bayesian synthesis

Learning based Program Synthesis, Xinyun Chen, Google Research

Neural Program Synthesis, CS379C Stanford lecture

Towards the Automated Synthesis of Probabilistic Programs

Probabilistic Programming: Algorithms, Applications and Synthesis, Aditya Nori

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Last Updated: October 1, 2026

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Model-Assisted Machine-Code Synthesis News

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Summary

Hi, this is PhD student at UC San Diego advised by Our OOPSLA '20 paper Paper and supplementary material: ... Venkatesh Srinivasan, Ara Vartanian, Thomas Reps Binary rewriters are tools that are used to modify the functionality of binaries ... We present new techniques for automatically constructing Kevin Ellis (Cornell) and Zenna Tavares (BASIS) argue that the next wave of AI needs to Joost-Pieter Katoen (RWTH Aachen University) simons.berkeley.edu/talks/tbd-313 Recent years have seen a huge shift in the kind of

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