4 citations · 9 across the 4 of their papers we have counts for
5 papers
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan +2
Robustness of Deep Reinforcement Learning (DRL) algorithms towards adversarial attacks in real world applications such as those deployed in cyber-physical systems (CPS) are of incr…
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…
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes
Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy +1
3D Convolutional Neural Networks (3D-CNN) have been used for object recognition based on the voxelized shape of an object. However, interpreting the decision making process of thes…
A Machine-Learning Framework for Design for Manufacturability
Aditya Balu, Sambit Ghadai, Gavin Young +2
this is a duplicate submission(original is arXiv:1612.02141). Hence want to withdraw it
Learning Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes
Aditya Balu, Sambit Ghadai, Kin Gwn Lore +3
3D convolutional neural networks (3D-CNN) have been used for object recognition based on the voxelized shape of an object. In this paper, we present a 3D-CNN based method to learn…