92 citations · 130 across the 6 of their papers we have counts for
6 papers
The Boundary for Quantum Advantage in Gaussian Boson Sampling
Jacob F. F. Bulmer, Bryn A. Bell, Rachel S. Chadwick +9
Identifying the boundary beyond which quantum machines provide a computational advantage over their classical counterparts is a crucial step in charting their usefulness. Gaussian…
Recombination of Artificial Neural Networks
Aaron Vose, Jacob Balma, Alex Heye +5
We propose a genetic algorithm (GA) for hyperparameter optimization of artificial neural networks which includes chromosomal crossover as well as a decoupling of parameters (i.e.,…
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Amrita Mathuriya, Deborah Bard, Peter Mendygral +14
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow:…
Scalable high-dimensional indexing and searching with Hadoop
Denis Shestakov, Diana Moise
While high-dimensional search-by-similarity techniques reached their maturity and in overall provide good performance, most of them are unable to cope with very large multimedia co…
Advance Reservation of Resources for Task Execution in Grid Environments
Eliza Moise, Diana Moise, Florin Pop +1
The paper proposes a solution for the Grid scheduling problem, addressing in particular the requirement of high performance an efficient algorithm must fulfill. Advance Reservation…
Resource CoAllocation for Scheduling Tasks with Dependencies, in Grid
Diana Moise, Eliza Moise, Florin Pop +1
Scheduling applications on wide-area distributed systems is useful for obtaining quick and reliable results in an efficient manner. Optimized scheduling algorithms are fundamentall…