Kai Staats

According to our database, Kai Staats authored at least 4 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Enhancing gravitational-wave science with machine learning.

Elena Cuoco, Jade Powell, Marco Cavaglià, Kendall Ackley, Michal Bejger, Chayan Chatterjee, Michael Coughlin, Scott Coughlin, Paul Easter, Reed Essick, Hunter Gabbard, Timothy Gebhard, Shaon Ghosh, Leïla Haegel, Alberto Iess, David Keitel, Zsuzsa Márka, Szabolcs Márka, Filip Morawski, Tri Nguyen, Rich Ormiston, Michael Pürrer, Massimiliano Razzano, Kai Staats, Gabriele Vajente, Daniel Williams

Mach. Learn. Sci. Technol., 2021

2020

Improving the background of gravitational-wave searches for core collapse supernovae: a machine learning approach.

Marco Cavaglià, Sergio Gaudio, Travis Hansen, Kai Staats, Marek Szczepanczyk, Michele Zanolin

Mach. Learn. Sci. Technol., 2020

Evolving Antennas for Ultra-High Energy Neutrino Detection.

Julie Rolla, Amy Connolly, Kai Staats, Stephanie Wissel, Dean Arakaki, Ian Best, Adam Blenk, Brian Clark, Maximillian Clowdus, Suren Gourapura, Corey Harris, Hannah Hasan, Luke Letwin, David Liu, Carl Pfendner, Jordan Potter, Cade Sbrocco, Tom Sinha, Jacob Trevithick

CoRR, 2020

2017

TensorFlow enabled genetic programming.

Kai Staats, Edward R. Pantridge, Marco Cavaglià, Iurii Milovanov, Arun Aniyan

Proceedings of the Genetic and Evolutionary Computation Conference, 2017