Interpretable Program Synthesis Information Guide

  1. Overview on Interpretable Program Synthesis
  2. Important Facts
  3. History
  4. Deep Dive
  5. Future Outlook

Overview on Interpretable Program Synthesis

Details Interpretable Program Synthesis Guide
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Important Facts

Interpretable Program Synthesis Guide
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History

Information Exploring Program Synthesis: Francois Chollet, Kevin Ellis, Zenna Tavares Update
Stay updated on Interpretable Program Synthesis's latest milestones.

Program Synthesis with Large Language Models
Program Synthesis with Large Language Models
Interactive Program Synthesis by Augmented Examples
Interactive Program Synthesis by Augmented Examples
Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)
Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)
#50 Dr. CHRISTIAN SZEGEDY - Formal Reasoning, Program Synthesis
#50 Dr. CHRISTIAN SZEGEDY - Formal Reasoning, Program Synthesis
Program Synthesis via Deep Learning over Graph Structured Data
Program Synthesis via Deep Learning over Graph Structured Data
Dreamcoder: Bootstrapping Inductive Program Synthesis With Wake-Sleep Library Learning
Dreamcoder: Bootstrapping Inductive Program Synthesis With Wake-Sleep Library Learning
Relational Decomposition for Program Synthesis - Céline Hocquette
Relational Decomposition for Program Synthesis - Céline Hocquette
An Intro to Program Synthesis
An Intro to Program Synthesis
Syntax-Guided Program Synthesis
Syntax-Guided Program Synthesis
UIST 2020 Interactive Program Synthesis Preview
UIST 2020 Interactive Program Synthesis Preview
The Four Big Bets (Illustrated via a Journey in Program Synthesis)
The Four Big Bets (Illustrated via a Journey in Program Synthesis)

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: October 18, 2026

Future Outlook

Details Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA Guide
For 2026, Interpretable Program Synthesis remains one of the most talked-about information profiles. Check back for the newest reports.

Disclaimer: Disclaimer: All information is compiled from publicly available data, media reports, and analysis. Actual details may vary.

Summary

Interpretable Program Synthesis Panel discussion with Francois Chollet, Kevin Ellis, and Zenna Tavares on why Recorded 10 January 2023. Osbert Bastani of the University of Pennsylvania presents " In this video we discuss the paper " Kevin Ellis (Cornell) and Zenna Tavares (BASIS) argue that the next wave of AI needs to learn humans do: building abstract ... Dr. Christian Szegedy from Google Research is a deep learning heavyweight. He invented adversarial examples, one of the first ... Mayur Naik (University of Pennsylvania) simons.berkeley.edu/talks/tbd-297 The way a problem is represented can determine whether it is solvable at all. Céline Hocquette, AI researcher at Ndea and former ... Personal website: sbaziotis.com 00:00 Introduction 2:19 Part 1: Overview of Hoare Logic 4:05 Part 1 - Assertions are not ... Rajeev Alur (University of Pennsylvania) simons.berkeley.edu/talks/syntax-guided- But it's challenging to understand Sumit Gulwani will talk about the four bets that he made in the second half of his research career, which yielded greater personal ...

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