Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks. - Gavin S. Hartnett; Edward Parker; Edward Geist (CoRR, 2018)

Adversarial Examples for Cost-Sensitive Classifiers. - Gavin S. Hartnett; Andrew J. Lohn; Alexander P. Sedlack (CoRR, 2019)

Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows. - Gavin S. Hartnett; Masoud Mohseni (CoRR, 2020)

A Probability Density Theory for Spin-Glass Systems. - Gavin S. Hartnett; Masoud Mohseni (CoRR, 2020)

Deep Generative Modeling in Network Science with Applications to Public Policy Research. - Gavin S. Hartnett; Raffaele Vardavas; Lawrence Baker; Michael Chaykowsky; C. Ben Gibson; Federico Girosi; David P. Kennedy; Osonde A. Osoba (CoRR, 2020)

Modelling the impact of social distancing and targeted vaccination on the spread of COVID-19 through a real city-scale contact network. - Gavin S. Hartnett; Edward Parker; Timothy R. Gulden; Raffaele Vardavas; David Kravitz (J. Complex Networks, 2021)

Modeling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 through a Real City-Scale Contact Network. - Gavin S. Hartnett; Edward Parker; Timothy R. Gulden; Raffaele Vardavas; David Kravitz (CoRR, 2021)

Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models. - Gavin S. Hartnett; Li Ang Zhang; Caolionn O'Connell; Andrew J. Lohn; Jair Aguirre (CoRR, 2022)

A Rubik's Cube inspired approach to Clifford synthesis. - Ning Bao; Gavin S. Hartnett (CoRR, 2023)

Learning to rank quantum circuits for hardware-optimized performance enhancement. - Gavin S. Hartnett; Aaron Barbosa; Pranav S. Mundada; Michael R. Hush; Michael J. Biercuk; Yuval Baum (Quantum, 2024)