Carlos M. Ortiz Marrero


Tracking the Chemical Evolution of Iodine Species Using Recurrent Neural Networks
with Jenna Bilbrey, Michel Sassi, Andrew Ritzmann, Neil Henson, Malachi Schram
ACS Omega, February 2020.
[ paper ]

Robust Assessment of Real-World Adversarial Examples
with Brett Jefferson
CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision, June 2020.
[ paper, arXiv:1911.10435, slides (CVPR 2020) ]

Hypernetwork Science via High-Order Hypergraph Walks
with Sinan Aksoy, Cliff Joslyn, Brenda Praggastis, Emilie Purvine
EPJ Data Science, June 2020.
[ paper, arXiv:1906.11295 ]

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, April 2020.
[ paper, arXiv:1808.03398, slides (Indiana), Repo ]

On the Structure of Isometrically Embeddable Metric Spaces
with Katy Nowak and Steven Young
submitted, June 2017.
[ arXiv:1612.08769 ]

Classification of Rank 5 Premodular Categories
with Paul Bruillard
Journal of Mathematical Physics, Janurary 2018.
[ paper, arXiv:1612.08769, slides (JMM 2017) ]

Quantum Graph Homomorphisms via Operator Systems
with Vern Paulsen
Linear Algebra and its Applications, May 2016.
[ paper, arXiv:1505.00483, slides (Barcelona 2015), slides (JMM 2016) ]

Lovász Theta Type Norms and Operator Systems
with Vern Paulsen
Linear Algebra and its Applications, July 2015.
[ paper, arXiv:1412.7101, slides (JMM 2015) ]


State Space Discovery and Data-Driven Modeling of Chemical Systems
with Michael Hughes, Francesco Luzi, Jenna Bilbrey
PNNL Chemical Dynamics Initiative, September 2020.
[ website ]

Image Compression using Simulated Annealing
with A. Dutta, G. Kim, M. Lamoureux, M. Li, P. Ronagh, M. Sinha, C. Stiegler
IMA Workshop, August 2015.
[ report, slides ]


Special Session on Topological Phases of Matter and Quantum Computation at the 2016 AMS Fall Eastern Sectional Meeting, September 24th-25th, 2016.
[ Volume ]


I am currently working on problems related to machine learning, quantum computing, and graph theory at Pacific Northwest National Laboratory.


Best way to reach me is by email at