Ben Nebgen

Orcid: 0000-0001-5310-3263

Affiliations:

Los Alamos National Laboratory, NM, USA

According to our database¹, Ben Nebgen authored at least 9 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2024

LoRID: Low-Rank Iterative Diffusion for Adversarial Purification.

[BibT_eX]

[DOI]

CoRR, 2024

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Distributed non-negative RESCAL with automatic model selection for exascale data.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., September, 2023

Uncertainty-driven dynamics for active learning of interatomic potentials.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2023

Robust Adversarial Defense by Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data.

[BibT_eX]

[DOI]

CoRR, 2022

2020

A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Benjamin T. Nebgen

Raviteja Vangara

Miguel Ángel Hombrados-Herrera

Svetlana Kuksova

Boian S. Alexandrov

CoRR, 2020

Automated discovery of a robust interatomic potential for aluminum.

[BibT_eX]

[DOI]

CoRR, 2020

2018

Less is more: sampling chemical space with active learning.

[BibT_eX]

[DOI]

CoRR, 2018

Ben Nebgen

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