Articles
Quantum Computation and Quantum Information⌗

Variational Methods for Computing NonLocal Quantum Strategies⌗
(with Jim Furches Nathan Wiebe)
Submitted[arXiv]

A Unified Theory of Barren Plateaus for Deep Parametrized Quantum Circuits⌗
(with Michael Ragone, Bojko N. Bakalov, Frédéric Sauvage, Alexander F. Kemper, Martin Larocca, Marco Cerezo)
Submitted[arXiv]

Generating Approximate Ground States of Molecules Using Quantum Machine Learning⌗
(with Jack Ceroni, Torin F. Stetina, Mária Kieferová, Juan Miguel Arrazola, Nathan Wiebe)
Submitted

Quantum Generative Training using Rényi Divergences⌗
(with Mária Kieferová, Nathan Wiebe)
Submitted

Entanglement Induced Barren Plateaus⌗
(with Mária Kieferová, Nathan Wiebe)
PRX Quantum

Classification of Rank 5 Premodular Categories⌗
(with Paul Bruilard)
Journal of Mathematical Physics[Paper] [arXiv] [Slides (JMM 2017)]

Quantum Graph Homomorphisms via Operator Systems⌗
(with Vern Paulsen)
Linear Algebra and its Applications[Paper] [arXiv] [Slides (Barcelona 2015)] [Slides (JMM 2016)]

Lovász Theta Type Norms and Operator Systems⌗
(with Vern Paulsen)
Linear Algebra and its Applications[Paper] [arXiv] [Slides (JMM 2015)]
Data Science and Machine Learning⌗

Using HigherOrder Moments to Assess the Quality of GANgenerated Image Features⌗
(with Lorenzo Luzi, Helen Jenne, Ryan Murray)
Submitted
[arXiv]

Seven Open Problems in Applied Combinatorics⌗
(with Sinan G. Aksoy, Ryan Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Anthony V. Petyuk, Sandip Roy, Ignacio SegoviaDominguez, Nate Veldt, Stephen J. Young)
Submitted[arXiv]

The SVD of Convolutional Weights: A CNN Interpretability Framework⌗
(with Brenda Praggastis, Davis Brown, Emilie Purvine, Madelyn Shapiro, Bei Wang)
Submitted

Evaluating generative networks using Gaussian mixtures of image features⌗
(with Lorenzo Luzi, Nile Wynar, Richard Baraniuk, Michael Henry)
WACV 2023

Modeling Atmospheric Data and Identifying Dynamics: Temporal DataDriven Modeling of Air Pollutants⌗
(with Javier RubioHerrero, Louis Fan)
Journal of Cleaner Production

Application of entropy and signal energy for ultrasoundbased classification of threedimensional printed polyetherketoneketone components⌗
(with with Francesco Luzi, Michelle Fenn, Joseph Christ, Zachary Kennedy, Tamas Varga, Michael Hughes)
The Journal of the Acoustical Society of America[Paper]

Tracking the Chemical Evolution of Iodine Species Using Recurrent Neural Networks⌗
(with Jenna Bilbrey, Michel Sassi, Andrew Ritzmann, Neil Henson, Malachi Schram)
ACS Omega[Paper] [Press Release]

Robust Assessment of RealWorld Adversarial Examples⌗
(with Brett Jefferson)
CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision

Hypernetwork Science via HighOrder Hypergraph Walks⌗
(with Sinan Aksoy, Cliff Joslyn, Brenda Praggastis, Emilie Purvine)
EPJ Data Science

Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems⌗
(with Alexandre Tartakovsky, Paris Perdikaris, Guzel Tartakovsky, David BarajasSolano)
Water Resources Research