Search Results for author: Piyush Srivastava

Found 3 papers, 2 papers with code

Universal Lower Bound for Learning Causal DAGs with Atomic Interventions

no code implementations9 Nov 2021 Vibhor Porwal, Piyush Srivastava, Gaurav Sinha

Our second result shows that this bound is, in fact, within a factor of two of the size of the smallest set of single-node interventions that can orient the MEC.

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

1 code implementation11 Aug 2020 Shubhada Agrawal, Siddharth Bhandari, Anirban Bhattacharjee, Anand Deo, Narendra M. Dixit, Prahladh Harsha, Sandeep Juneja, Poonam Kesarwani, Aditya Krishna Swamy, Preetam Patil, Nihesh Rathod, Ramprasad Saptharishi, Sharad Shriram, Piyush Srivastava, Rajesh Sundaresan, Nidhin Koshy Vaidhiyan, Sarath Yasodharan

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

Populations and Evolution Other Computer Science Physics and Society Quantitative Methods

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

1 code implementation5 Jun 2020 Prahladh Harsha, Sandeep Juneja, Preetam Patil, Nihesh Rathod, Ramprasad Saptharishi, A. Y. Sarath, Sharad Sriram, Piyush Srivastava, Rajesh Sundaresan, Nidhin Koshy Vaidhiyan

In an earlier IISc-TIFR Report, we presented an agent-based city-scale simulator(ABCS) to model the progression and spread of the infection in large metropolises like Mumbai and Bengaluru.

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