Pravin Chandran

According to our database, Pravin Chandran authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Comprehensive Approach to Characterizing $V_{T}$ Miscorrelation Derates for Physical Design and Timing Signoff.

Pravin Chandran, Srinivas Bodapati, Hitesh Sharma

Proceedings of the 26th International Symposium on Quality Electronic Design, 2025

2021

Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates.

Srikanth Chandar, Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi

CoRR, 2021

Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data.

Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi, Srikanth Chandar

CoRR, 2021

Fast and Accurate Library Generation Leveraging Deep Learning for OCV Modelling.

Eunice Naswali, Namhoon Kim, Pravin Chandran

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

2019

NTP : A Neural Network Topology Profiler.

Raghavendra Bhat, Pravin Chandran, Juby Jose, Viswanath Dibbur, Prakash Sirra Ajith

CoRR, 2019

DNNLibGen: Deep Neural Network Based Fast Library Generator.

Eunice Naswali, Adalberto Claudio Quiros, Pravin Chandran

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

NTP: A Neural Net Topology Profiler.

Pravin Chandran, Raghavendra Bhat, Juby Jose, Viswanath Dibbur, Prakash Sirra Ajith

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019