Zobrazeno 1 - 10
of 11 572
pro vyhledávání: '"FAIRBANKS, A"'
Autor:
Heuer, P. V., Peebles, J. L., Kunimune, J., Rinderknecht, H. G., Davies, J. R., Gopalaswamy, V., Frelier, J., Scott, M., Roberts, J., Brannon, B., McClow, H., Fairbanks, R., Regan, S. P., Frenje, J. A., Johnson, M. Gatu, Séguin, F. H., Crilly, A. J., Appelbe, B. D., Farrell, M., Stutz, J.
Energetic charged particles generated by inertial confinement fusion (ICF) implosions encode information about the spatial morphology of the hot-spot and dense fuel during the time of peak fusion reactions. The knock-on deuteron imager (KoDI) was dev
Externí odkaz:
http://arxiv.org/abs/2412.03362
It is folklore that tree-width is monotone under taking subgraphs (i.e. injective graph homomorphisms) and contractions (certain kinds of surjective graph homomorphisms). However, although tree-width is obviously not monotone under any surjective gra
Externí odkaz:
http://arxiv.org/abs/2408.15184
We study an element agglomeration coarsening strategy that requires data redistribution at coarse levels when the number of coarse elements becomes smaller than the used computational units (cores). The overall procedure generates coarse elements (ge
Externí odkaz:
http://arxiv.org/abs/2408.02241
In many sciences one often builds large systems out of smaller constituent parts. Mathematically, to study these systems, one can attach data to the component pieces via a functor F. This is of great practical use if F admits a compositional structur
Externí odkaz:
http://arxiv.org/abs/2407.03488
The main goal of this research project is to evaluate the effectiveness and speed of open-source forensic tools for digital evidence collecting from various Internet-of-Things (IoT) devices. The project will create and configure many IoT environments
Externí odkaz:
http://arxiv.org/abs/2407.01474
Autor:
Fairbanks, Jeffrey
Phishing is one of the main points of compromise, with email security and awareness being estimated at \$50-100B in 2022. There is great need for email forensics capability to quickly search for malicious content. A novel solution POST is proposed. P
Externí odkaz:
http://arxiv.org/abs/2407.01433
Autor:
Reddy, Sohail, Fairbanks, Hillary
This work presents an efficient approach for accelerating multilevel Markov Chain Monte Carlo (MCMC) sampling for large-scale problems using low-fidelity machine learning models. While conventional techniques for large-scale Bayesian inference often
Externí odkaz:
http://arxiv.org/abs/2405.11179
Publikováno v:
Electronic Notes in Theoretical Informatics and Computer Science, Volume 4 - Proceedings of MFPS XL (December 11, 2024) entics:14666
Categories and categorical structures are increasingly recognized as useful abstractions for modeling in science and engineering. To uniformly implement category-theoretic mathematical models in software, we introduce GATlab, a domain-specific langua
Externí odkaz:
http://arxiv.org/abs/2404.04837
Cartesian reverse derivative categories (CRDCs) provide an axiomatic generalization of the reverse derivative, which allows generalized analogues of classic optimization algorithms such as gradient descent to be applied to a broad class of problems.
Externí odkaz:
http://arxiv.org/abs/2403.19845
Optimization decomposition methods are a fundamental tool to develop distributed solution algorithms for large scale optimization problems arising in fields such as machine learning and optimal control. In this paper, we present an algebraic framewor
Externí odkaz:
http://arxiv.org/abs/2403.05711