Articles
Quantum Computation and Quantum Information⌗

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

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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]

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

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

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

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

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

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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⌗

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Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features⌗
(with Lorenzo Luzi, Helen Jenne, Ryan Murray)
Submitted
[arXiv]

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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 Segovia-Dominguez, Nate Veldt, Stephen J. Young)
Submitted[arXiv]

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

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

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Modeling Atmospheric Data and Identifying Dynamics: Temporal Data-Driven Modeling of Air Pollutants⌗
(with Javier Rubio-Herrero, Louis Fan)
Journal of Cleaner Production

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Application of entropy and signal energy for ultrasound-based classification of three-dimensional 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]

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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]

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

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

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