2 citations · 2 across the 1 of their papers we have counts for
6 papers
Quantum Generative Training Using Rényi Divergences
Maria Kieferova, Ortiz Marrero Carlos, Nathan Wiebe
Quantum neural networks (QNNs) are a framework for creating quantum algorithms that promises to combine the speedups of quantum computation with the widespread successes of machine…
Entanglement Induced Barren Plateaus
Carlos Ortiz Marrero, Mária Kieferová, Nathan Wiebe
We argue that an excess in entanglement between the visible and hidden units in a Quantum Neural Network can hinder learning. In particular, we show that quantum neural networks th…
Robust Assessment of Real-World Adversarial Examples
Brett Jefferson, Carlos Ortiz Marrero
We explore rigorous, systematic, and controlled experimental evaluation of adversarial examples in the real world and propose a testing regimen for evaluation of real world adversa…
Hypernetwork Science via High-Order Hypergraph Walks
Sinan G. Aksoy, Cliff Joslyn, Carlos Ortiz Marrero +2
We propose high-order hypergraph walks as a framework to generalize graph-based network science techniques to hypergraphs. Edge incidence in hypergraphs is quantitative, yielding h…
On the Structure of Isometrically Embeddable Metric Spaces
Kathleen Nowak, Carlos Ortiz Marrero, Stephen J. Young
Since its popularization in the 1970s the Fiedler vector of a graph has become a standard tool for clustering of the vertices of the graph. Recently, Mendel and Noar, Dumitriu and…
Learning Parameters and Constitutive Relationships with Physics Informed Deep Neural Networks
Alexandre M. Tartakovsky, Carlos Ortiz Marrero, Paris Perdikaris +2
We present a physics informed deep neural network (DNN) method for estimating parameters and unknown physics (constitutive relationships) in partial differential equation (PDE) mod…