Jack Heavey — accepted AI-conference papers

2023

Reconstructing an Epidemic Outbreak Using Steiner Connectivity

Ritwick Mishra, Jack Heavey, Gursharn Kaur, Abhijin Adiga, Anil Vullikanti

AAAI 2023technical

Only a subset of infections is actually observed in an outbreak, due to multiple reasons such as asymptomatic cases and under-reporting. Therefore, reconstructing an epidemic cascade given some observed cases is an important step in responding to such an outbreak. A maximum likelihood solution to th…

Cited by 4 Source ↗PDF ↗Scholar ↗

2022

Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay

Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti

AAAI 2022technical

The efficient detection of outbreaks and other cascading phenomena is a fundamental problem in a number of domains, including disease spread, social networks, and infrastructure networks. In such settings, monitoring and testing a small group of pre-selected nodes from the susceptible population (i.…

Cited by 4 Source ↗PDF ↗Scholar ↗