Carlos M. Ortiz

+++ title = “Articles” #date = “2019-01-25” #author = “Radek” +++

Quantum Computation and Quantum Information

  

• Adaptive Quantum Generative Training using an Unbounded Loss Function

  (with Kyle Sherbert, Jim Furches, Karunya Shirali, Sophia E. Economou)
  IEEE International Conference on Quantum Computing and Engineering (QCE24)
  IEEE Best Paper Award

  [Paper] [arXiv] [Repo]

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• Variational Methods for Computing Non-Local Quantum Strategies

  (with Jim Furches, Nathan Wiebe)
  Submitted

  [arXiv] [Repo] [Poster (by Jim Furches)]

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• A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits

  (with Michael Ragone, Bojko N. Bakalov, Frédéric Sauvage, Alexander F. Kemper, Martin Larocca, Marco Cerezo)
  Nature Communications

  [Paper] [arXiv] [Press Release] —   

• Generating Approximate Ground States of Molecules Using Quantum Machine Learning

  (with Jack Ceroni, Torin F. Stetina, Mária Kieferová, Juan Miguel Arrazola, Nathan Wiebe)
  Submitted

  [arXiv] [Repo]

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• Quantum Generative Training using Rényi Divergences

  (with Mária Kieferová, Nathan Wiebe)
  Submitted

  [arXiv] [Repo]

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• Entanglement Induced Barren Plateaus

  (with Mária Kieferová, Nathan Wiebe)
  PRX Quantum

  [Paper] [arXiv] [Poster (by Mária Kieferová)]

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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

  

• Using Skew to Assess the Quality of GAN-generated Image Features

  (with Lorenzo Luzi, Helen Jenne, Ryan Murray)

  Transactions on Machine Learning Research

  [Paper, 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)
  Journal of Combinatorics

  [Paper, 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

  [arXiv] [Repo]

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• Evaluating generative networks using Gaussian mixtures of image features

  (with Lorenzo Luzi, Nile Wynar, Richard Baraniuk, Michael Henry)
  WACV 2023

  [Paper] [arXiv] [Poster (by Lorenzo Luzi)]

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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

  [Paper] [arXiv] [Poster]

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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

  [Paper] [arXiv] [Talk] [Slides]

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• Hypernetwork Science via High-Order Hypergraph Walks

  (with Sinan Aksoy, Cliff Joslyn, Brenda Praggastis, Emilie Purvine)
  EPJ Data Science

  [Paper] [arXiv]

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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

  [Paper] [arXiv] [Slides] [Repo]

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• On the structure of isometrically embeddable metric spaces

  (with Stephen Young, Kathleen Nowak)
  Electronic Journal of Linear Algebra

  [Paper] [arXiv]