Nathan Brugnone

According to our database, Nathan Brugnone authored at least 5 papers between 2019 and 2024.

Collaborative distances:

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

2024

Is from ought? A comparison of unsupervised methods for structuring values-based wisdom-of-crowds estimates.

Nathan Brugnone, Noam Benkler, Péter Révay, Rebecca Myhre, Scott Friedman, Sonja Schmer-Galunder, Steven Gray, James E. Gentile

J. Comput. Soc. Sci., October, 2024

Soft Measures for Extracting Causal Collective Intelligence.

Maryam Berijanian, Spencer Dork, Kuldeep Singh, Michael Riley Millikan, Ashlin Riggs, Aadarsh Swaminathan, Sarah L. Gibbs, Scott E. Friedman, Nathan Brugnone

CoRR, 2024

2021

MagNet: A Magnetic Neural Network for Directed Graphs.

Xitong Zhang, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn

CoRR, 2021

MagNet: A Neural Network for Directed Graphs.

Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Coarse Graining of Data via Inhomogeneous Diffusion Condensation.

Nathan Brugnone, Smita Krishnaswamy, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019