Gavin S. Hartnett

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Learning to rank quantum circuits for hardware-optimized performance enhancement.
CoRR
Gavin S. Hartnett, Aaron Barbosa, Pranav S. Mundada, Michael R. Hush, Michael J. Biercuk, Yuval Baum
2024 J jnl
Learning to rank quantum circuits for hardware-optimized performance enhancement.
Quantum
Gavin S. Hartnett, Aaron Barbosa, Pranav S. Mundada, Michael R. Hush, Michael J. Biercuk, Yuval Baum
2023 J jnl
A Rubik's Cube inspired approach to Clifford synthesis.
CoRR
Ning Bao, Gavin S. Hartnett
2022 J jnl
Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models.
CoRR
Gavin S. Hartnett, Li Ang Zhang, Caolionn O'Connell, Andrew J. Lohn, Jair Aguirre
2021 J jnl
Modeling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 through a Real City-Scale Contact Network.
CoRR
Gavin S. Hartnett, Edward Parker, Timothy R. Gulden, Raffaele Vardavas, David Kravitz
2021 J jnl
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
Gavin S. Hartnett, Edward Parker, Timothy R. Gulden, Raffaele Vardavas, David Kravitz
2020 J jnl
A Probability Density Theory for Spin-Glass Systems.
CoRR
Gavin S. Hartnett, Masoud Mohseni
2020 J jnl
Deep Generative Modeling in Network Science with Applications to Public Policy Research.
CoRR
Gavin S. Hartnett, Raffaele Vardavas, Lawrence Baker, Michael Chaykowsky, C. Ben Gibson, Federico Girosi, David P. Kennedy, Osonde A. Osoba
2020 J jnl
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows.
CoRR
Gavin S. Hartnett, Masoud Mohseni
2019 J jnl
Adversarial Examples for Cost-Sensitive Classifiers.
CoRR
Gavin S. Hartnett, Andrew J. Lohn, Alexander P. Sedlack
2018 J jnl
Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks.
CoRR
Gavin S. Hartnett, Edward Parker, Edward Geist