activity
20202025
most citedCity-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic

33 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DS2025

Approximating the Total Variation Distance between Gaussians

Arnab Bhattacharyya, Weiming Feng, Piyush Srivastava

The total variation distance is a metric of central importance in statistics and probability theory. However, somewhat surprisingly, questions about computing it algorithmically ap…

hep-lat2024★ 1 cited

Nuclear correlation functions using first-principle calculations of lattice quantum chromodynamics

Debsubhra Chakraborty, Piyush Srivastava, Arpith Kumar +1

Exploring nuclear physics through the fundamental constituents of the strong force -- quarks and gluons -- is a formidable challenge. While numerical calculations using lattice qua…

cs.LG2024★ 1 cited

A direct proof of a unified law of robustness for Bregman divergence losses

Santanu Das, Jatin Batra, Piyush Srivastava

In contemporary deep learning practice, models are often trained to near zero loss i.e. to nearly interpolate the training data. However, the number of parameters in the model is u…

q-bio.PE2020★ 33 cited

City-Scale Agent-Based Simulators for the Study of Non-Pharmaceutical Interventions in the Context of the COVID-19 Epidemic

Shubhada Agrawal, Siddharth Bhandari, Anirban Bhattacharjee +14

We highlight the usefulness of city-scale agent-based simulators in studying various non-pharmaceutical interventions to manage an evolving pandemic. We ground our studies in the c…

q-bio.PE2020★ 7 cited

COVID-19 Epidemic Study II: Phased Emergence From the Lockdown in Mumbai

Prahladh Harsha, Sandeep Juneja, Preetam Patil +7

The nation-wide lockdown starting 25 March 2020, aimed at suppressing the spread of the COVID-19 disease, was extended until 31 May 2020 in three subsequent orders by the Governmen…