Juston Moore

Orcid: 0000-0003-2515-3647

Affiliations:
  • Los Alamos National Laboratory, USA


According to our database1, Juston Moore authored at least 20 papers between 2012 and 2024.

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Bibliography

2024
The Collection of a Human Robot Collaboration Dataset for Cooperative Assembly in Glovebox Environments.
CoRR, 2024

Persistent Classification: A New Approach to Stability of Data and Adversarial Examples.
CoRR, 2024

How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
CoRR, 2024

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

LCANets++: Robust Audio Classification Using Multi-Layer Neural Networks with Lateral Competition.
Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures.
Proceedings of the Computer Vision - ECCV 2024, 2024

Bound Tightening Using Rolling-Horizon Decomposition for Neural Network Verification.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

2023
General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization.
DTRAP, 2023

Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty.
CoRR, 2023

An Exact Kernel Equivalence for Finite Classification Models.
Proceedings of the Topological, 2023

2022
Local Latent Space Bayesian Optimization over Structured Inputs.
CoRR, 2022

If you've trained one you've trained them all: inter-architecture similarity increases with robustness.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Local Latent Space Bayesian Optimization over Structured Inputs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LCANets: Lateral Competition Improves Robustness Against Corruption and Attack.
Proceedings of the International Conference on Machine Learning, 2022

2020
Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2020

Using models of cortical development based on sparse coding to discriminate between real and synthetically-generated faces.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2018
Physics-Informed Machine Learning for DRAM Error Modeling.
Proceedings of the 2018 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2018

2016
Poisson factorization for peer-based anomaly detection.
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

2013
Inferring Multilateral Relations from Dynamic Pairwise Interactions.
CoRR, 2013

2012
Topic-Partitioned Multinetwork Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012


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