Carlos M. Ortiz Marrero

Articles

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) ]

Projects

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 ]

Conferences

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

Currently

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

Contact

Best way to reach me is by email at carlos.ortiz@pnnl.gov.