Marko Vasic — accepted AI-conference papers

2020

Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks

Marko Vasic, Cameron Chalk, Sarfraz Khurshid, David Soloveichik

ICML 2020poster

Embedding computation in molecular contexts incompatible with traditional electronics is expected to have wide ranging impact in synthetic biology, medicine, nanofabrication and other fields. A key remaining challenge lies in developing programming paradigms for molecular computation that are well-a…

Cited by 23 Source ↗PDF ↗Scholar ↗

2019

Neural Program Repair by Jointly Learning to Localize and Repair

Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh

ICLR 2019poster

Due to its potential to improve programmer productivity and software quality, automated program repair has been an active topic of research. Newer techniques harness neural networks to learn directly from examples of buggy programs and their fixes. In this work, we consider a recently identified cla…

Cited by 167 Source ↗PDF ↗Scholar ↗