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ORCIDGavin S. Hartnett
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Journal Articles
- 2021
[j1]Gavin S. Hartnett, Edward Parker, Timothy R. Gulden, Raffaele Vardavas, David Kravitz:
Modelling the impact of social distancing and targeted vaccination on the spread of COVID-19 through a real city-scale contact network. J. Complex Networks 9(6) (2021)
Informal and Other Publications
- 2024
- [i9]Gavin S. Hartnett, Aaron Barbosa, Pranav S. Mundada, Michael R. Hush, Michael J. Biercuk, Yuval Baum:
Learning to rank quantum circuits for hardware-optimized performance enhancement. CoRR abs/2404.06535 (2024) - 2023
- [i8]Ning Bao, Gavin S. Hartnett:
A Rubik's Cube inspired approach to Clifford synthesis. CoRR abs/2307.08684 (2023) - 2022
- [i7]Gavin S. Hartnett, Li Ang Zhang, Caolionn O'Connell, Andrew J. Lohn, Jair Aguirre:
Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models. CoRR abs/2206.12725 (2022) - 2021
- [i6]Gavin S. Hartnett, Edward Parker, Timothy R. Gulden, Raffaele Vardavas, David Kravitz:
Modeling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 through a Real City-Scale Contact Network. CoRR abs/2107.06213 (2021) - 2020
- [i5]Gavin S. Hartnett, Masoud Mohseni:
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows. CoRR abs/2001.00585 (2020) - [i4]Gavin S. Hartnett, Masoud Mohseni:
A Probability Density Theory for Spin-Glass Systems. CoRR abs/2001.00927 (2020) - [i3]Gavin S. Hartnett, Raffaele Vardavas, Lawrence Baker, Michael Chaykowsky, C. Ben Gibson, Federico Girosi, David P. Kennedy, Osonde A. Osoba:
Deep Generative Modeling in Network Science with Applications to Public Policy Research. CoRR abs/2010.07870 (2020) - 2019
- [i2]Gavin S. Hartnett, Andrew J. Lohn
, Alexander P. Sedlack:
Adversarial Examples for Cost-Sensitive Classifiers. CoRR abs/1910.02095 (2019) - 2018
- [i1]Gavin S. Hartnett, Edward Parker, Edward Geist:
Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks. CoRR abs/1803.06442 (2018)
Coauthor Index
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