77 citations · 233 across the 52 of their papers we have counts for
4 papers · 1 filter
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning
Xian Yeow Lee, Aditya Balu, Daniel Stoecklein +2
Microfluidic devices are utilized to control and direct flow behavior in a wide variety of applications, particularly in medical diagnostics. A particularly popular form of microfl…
3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys
Rahul Singh, Aayush Sharma, Onur Rauf Bingol +4
The need for advanced materials has led to the development of complex, multi-component alloys or solid-solution alloys. These materials have shown exceptional properties like stren…
On Consensus-Optimality Trade-offs in Collaborative Deep Learning
Zhanhong Jiang, Aditya Balu, Chinmay Hegde +1
In distributed machine learning, where agents collaboratively learn from diverse private data sets, there is a fundamental tension between consensus and optimality. In this paper,…
Multi-level 3D CNN for Learning Multi-scale Spatial Features
Sambit Ghadai, Xian Lee, Aditya Balu +2
3D object recognition accuracy can be improved by learning the multi-scale spatial features from 3D spatial geometric representations of objects such as point clouds, 3D models, su…