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Modularity aided consistent attributed graph clustering via coarsening
Samarth Bhatia, Yukti Makhija, Manoj Kumar +1
Graph clustering is an important unsupervised learning technique for partitioning graphs with attributes and detecting communities. However, current methods struggle to accurately…
Lowering PyTorch's Memory Consumption for Selective Differentiation
Samarth Bhatia, Felix Dangel
Memory is a limiting resource for many deep learning tasks. Beside the neural network weights, one main memory consumer is the computation graph built up by automatic differentiati…
Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients
Samarth Bhatia, Yukti Makhija, Sneha Jayaswal +2
As the second wave in India mitigates, COVID-19 has now infected about 29 million patients countrywide, leading to more than 350 thousand people dead. As the infections surged, the…
Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort
Yukti Makhija, Samarth Bhatia, Shalendra Singh +9
Many countries are now experiencing the third wave of the COVID-19 pandemic straining the healthcare resources with an acute shortage of hospital beds and ventilators for the criti…