34 citations · 34 across the 5 of their papers we have counts for
5 papers
Identifying Latent Declarative Representations of Code for Assisting Repository Migration
Shraddha Surana, Ashwin Srinivasan, Michael Bain
Legacy software repositories embed decades of domain knowledge in undocumented code, making understanding and modernization difficult. We treat a program as the implementation of a…
Structured Program Synthesis using LLMs: Results and Insights from the IPARC Challenge
Shraddha Surana, Ashwin Srinivasan, Michael Bain
The IPARC Challenge, inspired by ARC, provides controlled program synthesis tasks over synthetic images to evaluate automatic program construction, focusing on sequence, selection,…
Engineering Systems for Data Analysis Using Interactive Structured Inductive Programming
Shraddha Surana, Ashwin Srinivasan, Michael Bain
Engineering information systems for scientific data analysis presents significant challenges: complex workflows requiring exploration of large solution spaces, close collaboration…
Machine Learning for Scientific Discovery
Shraddha Surana, Yogesh Wadadekar, Divya Oberoi
Machine Learning algorithms are good tools for both classification and prediction purposes. These algorithms can further be used for scientific discoveries from the enormous data b…
Predicting star formation properties of galaxies using deep learning
Shraddha Surana, Yogesh Wadadekar, Omkar Bait +1
Understanding the star-formation properties of galaxies as a function of cosmic epoch is a critical exercise in studies of galaxy evolution. Traditionally, stellar population synth…