Topic-Partitioned Multinetwork Embeddings. - Peter M. Krafft; Juston Moore; Bruce A. Desmarais; Hanna M. Wallach (NIPS, 2012)

Inferring Multilateral Relations from Dynamic Pairwise Interactions. - Aaron Schein; Juston Moore; Hanna M. Wallach (CoRR, 2013)

Poisson factorization for peer-based anomaly detection. - Melissa J. Turcotte; Juston S. Moore; Nick Heard; Aaron McPhall (ISI, 2016)

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 (DFT, 2018)

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 (AIPR, 2020)

Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization. - Maksim Ekin Eren; Juston S. Moore; Boian S. Alexandrov (ISI, 2020)

LCANets: Lateral Competition Improves Robustness Against Corruption and Attack. - Michael A. Teti; Garrett T. Kenyon; Ben Migliori; Juston Moore (ICML, 2022)

Local Latent Space Bayesian Optimization over Structured Inputs. - Natalie Maus; Haydn Thomas Jones; Juston Moore; Matt J. Kusner; John Bradshaw; Jacob R. Gardner (NeurIPS, 2022)

If you've trained one you've trained them all: inter-architecture similarity increases with robustness. - Haydn Thomas Jones; Jacob M. Springer; Garrett T. Kenyon; Juston S. Moore (UAI, 2022)

An Exact Kernel Equivalence for Finite Classification Models. - Brian Wesley Bell; Michael Geyer; David Glickenstein; Amanda S. Fernandez; Juston Moore (TAG-ML, 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)

General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization. - Maksim Ekin Eren; Juston S. Moore; Erik Skau; Elisabeth Moore; Manish Bhattarai; Gopinath Chennupati; Boian S. Alexandrov (DTRAP, 2023)

Bound Tightening Using Rolling-Horizon Decomposition for Neural Network Verification. - Haoruo Zhao; Hassan L. Hijazi; Haydn Thomas Jones; Juston Moore; Mathieu Tanneau; Pascal Van Hentenryck (CPAIOR (2), 2024)

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures. - Sayanton V. Dibbo; Adam Breuer; Juston Moore; Michael A. Teti (ECCV (80), 2024)

LCANets++: Robust Audio Classification Using Multi-Layer Neural Networks with Lateral Competition. - Sayanton V. Dibbo; Juston S. Moore; Garrett T. Kenyon; Michael A. Teti (ICASSP Workshops, 2024)

Energy-Based Models Trained with Equilibrium Propagation are Inherently Robust. - Siddharth Mansingh; Michal Kucer; Garrett T. Kenyon; Juston Moore; Michael A. Teti (ICMLA, 2024)

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification. - Kilian Zepf; Selma Wanna; Marco Miani; Juston Moore; Jes Frellsen; Søren Hauberg; Frederik Warburg; Aasa Feragen (MICCAI (8), 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)

Persistent Classification: A New Approach to Stability of Data and Adversarial Examples. - Brian Bell 002; Michael Geyer; David Glickenstein; Keaton Hamm; Carlos Scheidegger; Amanda S. Fernandez; Juston Moore (CoRR, 2024)

The Collection of a Human Robot Collaboration Dataset for Cooperative Assembly in Glovebox Environments. - Shivansh Sharma; Mathew Huang; Sanat Nair; Alan Wen; Christina Petlowany; Juston Moore; Selma Wanna; Mitch Pryor (CoRR, 2024)

Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics. - Brian Bell 002; Michael Geyer; David Glickenstein; Keaton Hamm; Carlos Scheidegger; Amanda S. Fernandez; Juston Moore (Stat. Anal. Data Min., 2025)