Benjamin T. Nebgen

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 5

Top Topics

Latent Structure

Active Learning Strategies

Nonnegative Matrix

Model Selection

Top Venues

Nat. Comput. Sci.

J. Parallel Distributed Comput.

Publications

Manish Bhattarai, Namita Kharat, Ismael Boureima, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
Distributed non-negative RESCAL with automatic model selection for exascale data. J. Parallel Distributed Comput. 179 (2023)
Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Benjamin T. Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov
Robust Adversarial Defense by Tensor Factorization. CoRR (2023)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard A. Messerly, Sergei Tretiak, Justin S. Smith, Benjamin T. Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nat. Comput. Sci. 3 (3) (2023)
Manish Bhattarai, Namita Kharat, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data. CoRR (2022)
Benjamin T. Nebgen, Raviteja Vangara, Miguel Ángel Hombrados-Herrera, Svetlana Kuksova, Boian S. Alexandrov
A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization. CoRR (2020)