1. IGLU: Efficient GCN Training via Lazy Updates

S Deepak Narayanan^*, Aditya Sinha^*, Prateek Jain, Purushottam Kar, Sundararajan Sellamanickam
Tenth International Conference on Learning Representations (ICLR 2022)
PDF
Code

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2. Active Learning for Air Quality Station Deployment

S Deepak Narayanan, Apoorv Agnihotri, Nipun Batra
Workshop on Real World Experiment Design and Active Learning
Thirty Seventh International Conference on Machine Learning (ICML 2020)
An initial version of the paper was presented at CoDS-CoMAD 2020.
Full Version PDF, Full Version Code
Initial Version PDF, Initial Version Code

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3. Polire - A toolkit for spatial interpolation and sensor placement

S Deepak Narayanan^*, Zeel Patel^*, Apoorv Agnihotri, Nipun Batra
Eighteenth ACM Conference on Embedded Networked Sensor Systems (SenSys 2020)
PDF - SenSys, PDF - Full Version, Code

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4. [Re] One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers

Varun Gohil⁺, S Deepak Narayanan⁺, Atishay Jain⁺
ReScience C, Volume 6
Winner of NeurIPS Reproduciblity Challenge 2019
PDF, Code

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I am grateful to the following fantastic collaborators I have had the great fortune of working with over the past few years:

• Dr. Prateek Jain
• Prof. Purushottam Kar
• Dr. Sundararajan Sellamanickam
• Prof. Nipun Batra
• Apoorv Agnihotri
• Zeel Patel
• Aditya Sinha
• Varun Gohil
• Atishay Jain

^* denotes equal contribution.