Juston Moore

According to our database, Juston Moore authored at least 15 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures.

Sayanton V. Dibbo, Adam Breuer, Juston Moore, Michael A. Teti

CoRR, 2024

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

Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael A. Teti

CoRR, 2024

2023

LCANets++: Robust Audio Classification using Multi-layer Neural Networks with Lateral Competition.

Sayanton V. Dibbo, Juston S. Moore, Garrett T. Kenyon, Michael A. Teti

CoRR, 2023

Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty.

Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Aasa Feragen, Frederik Warburg

CoRR, 2023

An Exact Kernel Equivalence for Finite Classification Models.

Brian Wesley Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore

Proceedings of the Topological, 2023

2022

Local Latent Space Bayesian Optimization over Structured Inputs.

Natalie Maus, Haydn T. Jones, Juston S. Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner

CoRR, 2022

If you've trained one you've trained them all: inter-architecture similarity increases with robustness.

Haydn T. Jones, Jacob M. Springer, Garrett T. Kenyon, Juston S. Moore

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Local Latent Space Bayesian Optimization over Structured Inputs.

Natalie Maus, Haydn Jones, Juston Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner

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.

Michael A. Teti, Garrett T. Kenyon, Ben Migliori, Juston Moore

Proceedings of the International Conference on Machine Learning, 2022

2020

Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization.

Maksim Ekin Eren, Juston S. Moore, Boian S. Alexandrov

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.

Nga T. T. Nguyen, Juston S. Moore, Garrett T. Kenyon

Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2018

Physics-Informed Machine Learning for DRAM Error Modeling.

Elisabeth Baseman, Nathan DeBardeleben, Sean Blanchard, Juston S. Moore, Olena Tkachenko, Kurt B. Ferreira, Taniya Siddiqua, Vilas Sridharan

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.

Melissa J. Turcotte, Juston S. Moore, Nick Heard, Aaron McPhall

Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

2013

Inferring Multilateral Relations from Dynamic Pairwise Interactions.

Aaron Schein, Juston Moore, Hanna M. Wallach

CoRR, 2013

2012

Topic-Partitioned Multinetwork Embeddings.

Peter M. Krafft, Juston Moore, Bruce A. Desmarais, Hanna M. Wallach

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