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Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)
Interactive Program Synthesis by Augmented Examples
Gabe Grand | LILO: Learning Interpretable Libraries by Compressing and Documenting Code
Armando Solar Lezama - AI Programming; Program Synthesis • YASP #3
Relational Decomposition for Program Synthesis - Céline Hocquette
Dreamcoder: Bootstrapping Inductive Program Synthesis With Wake-Sleep Library Learning
UIST 2020 Interactive Program Synthesis Preview
Demo: Interactive Program Synthesis by Augmented Examples (UIST 2020)
Program Synthesis via Deep Learning over Graph Structured Data
An Introduction to (Inductive) Program Synthesis, by Ali Shokri
Interpretability via Compositionality (Wolfgang Stammer) - Interpretable Deep Learning Seminars
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Last Updated: September 22, 2026
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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 " Kevin Ellis (Cornell) and Zenna Tavares (BASIS) argue that the next wave of AI needs to learn humans do: building abstract ... Armando Solar-Lezama is a professor of Electrical Engineering and Computer Science and Associate Director and COO of the ... The way a problem is represented can determine whether it is solvable at all. Céline Hocquette, AI researcher at Ndea and former ... Mayur Naik (University of Pennsylvania) simons.berkeley.edu/talks/tbd-297 In this lecture, I'm providing an introduction to Vision-Language Programs learn compositional concepts directly from examples via