activity
20172026
most citedNeuNetS: An Automated Synthesis Engine for Neural Network Design

6 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?

Abhishek Bhandwaldar, Mihir Choudhury, Ruchir Puri +1

We present an empirical study of how far general-purpose coding agents -- without hardware-specific training -- can optimize hardware designs from high-level algorithmic specificat…

cs.CL2023

CoSiNES: Contrastive Siamese Network for Entity Standardization

Jiaqing Yuan, Michele Merler, Mihir Choudhury +3

Entity standardization maps noisy mentions from free-form text to standard entities in a knowledge base. The unique challenge of this task relative to other entity-related tasks is…

cs.SE2021

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Ruchir Puri, David S. Kung, Geert Janssen +14

Over the last several decades, software has been woven into the fabric of every aspect of our society. As software development surges and code infrastructure of enterprise applicat…

cs.LG2019★ 6 cited

NeuNetS: An Automated Synthesis Engine for Neural Network Design

Atin Sood, Benjamin Elder, Benjamin Herta +17

Application of neural networks to a vast variety of practical applications is transforming the way AI is applied in practice. Pre-trained neural network models available through AP…

cs.AR2017

Advanced Datapath Synthesis using Graph Isomorphism

Cunxi Yu, Mihir Choudhury, Andrew Sullivan +1

This paper presents an advanced DAG-based algorithm for datapath synthesis that targets area minimization using logic-level resource sharing. The problem of identifying common spec…