37 citations · 71 across the 5 of their papers we have counts for
4 papers · 1 filter
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation
Wei Chen, Arun Ramamurthy
In aerodynamic shape optimization, the convergence and computational cost are greatly affected by the representation capacity and compactness of the design space. Previous research…
Generative Design of Hardware-aware DNNs
Sheng-Chun Kao, Arun Ramamurthy, Tushar Krishna
To efficiently run DNNs on the edge/cloud, many new DNN inference accelerators are being designed and deployed frequently. To enhance the resource efficiency of DNNs, model quantiz…
Conditional Neural Architecture Search
Sheng-Chun Kao, Arun Ramamurthy, Reed Williams +1
Designing resource-efficient Deep Neural Networks (DNNs) is critical to deploy deep learning solutions over edge platforms due to diverse performance, power, and memory budgets. Un…
Can Graph Neural Networks Help Logic Reasoning?
Yuyu Zhang, Xinshi Chen, Yuan Yang +4
Effectively combining logic reasoning and probabilistic inference has been a long-standing goal of machine learning: the former has the ability to generalize with small training da…