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AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning


Dec 20, 2022
Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran, Sayak Mukherjee, Himanshu Sharma, Ted Fujimoto, Samrat Chatterjee

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Developing and Validating Semi-Markov Occupancy Generative Models: A Technical Report


Dec 21, 2021
Soumya Kundu, Saptarshi Bhattacharya, Himanshu Sharma, Veronica Adetola

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Deploying deep learning in OpenFOAM with TensorFlow


Dec 01, 2020
Romit Maulik, Himanshu Sharma, Saumil Patel, Bethany Lusch, Elise Jennings

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Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study


May 28, 2020
Himanshu Sharma, Elise Jennings

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A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic


Apr 18, 2020
Rohan Pandey, Vaibhav Gautam, Chirag Jain, Priyanka Syal, Himanshu Sharma, Kanav Bhagat, Ridam Pal, Lovedeep Singh Dhingra, Arushi, Lajjaben Patel, Mudit Agarwal, Samprati Agrawal, Manan Arora, Bhavika Rana, Ponnurangam Kumaraguru, Tavpritesh Sethi

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* 7 pages, 5 figures, 3 tables 

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Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution


Jan 18, 2019
Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet

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* To appear in the Proceedings of the 2019 IEEE International Symposium on Biomedical Imaging (ISBI 2019) 

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Developing a Portable Natural Language Processing Based Phenotyping System


Jul 17, 2018
Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo

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* 13 pages 

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