activity
20122026
most citedVerifiable Reinforcement Learning via Policy Extraction

159 citations · 646 across the 48 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

cs.SE2017★ 30 cited

SyGuS-Comp 2017: Results and Analysis

Rajeev Alur, Dana Fisman, Rishabh Singh +1

Syntax-Guided Synthesis (SyGuS) is the computational problem of finding an implementation f that meets both a semantic constraint given by a logical formula phi in a background the…

cs.AI2017★ 14 cited

Selecting Representative Examples for Program Synthesis

Yewen Pu, Zachery Miranda, Armando Solar-Lezama +1

Program synthesis is a class of regression problems where one seeks a solution, in the form of a source-code program, mapping the inputs to their corresponding outputs exactly. Due…

cs.PL2017

Capturing the Future by Replaying the Past

James Koppel, Gabriel Scherer, Armando Solar-Lezama

Delimited continuations are the mother of all monads! So goes the slogan inspired by Filinski's 1994 paper, which showed that delimited continuations can implement any monadic effe…

cs.AI2017★ 50 cited

Learning to Infer Graphics Programs from Hand-Drawn Images

Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama +1

We introduce a model that learns to convert simple hand drawings into graphics programs written in a subset of \LaTeX. The model combines techniques from deep learning and program…

cs.PL2017★ 9 cited

One Tool, Many Languages: Language-Parametric Transformation with Incremental Parametric Syntax

James Koppel, Varot Premtoon, Armando Solar-Lezama

We present a new approach for building source-to-source transformations that can run on multiple programming languages, based on a new way of representing programs called increment…

cs.DC2017★ 3 cited

Report of the HPC Correctness Summit, Jan 25--26, 2017, Washington, DC

Ganesh Gopalakrishnan, Paul D. Hovland, Costin Iancu +6

Maintaining leadership in HPC requires the ability to support simulations at large scales and fidelity. In this study, we detail one of the most significant productivity challenges…