Juston Moore - RankMe

17 papers A* 2C 1Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Limited Linguistic Diversity in Embodied AI Datasets. CoRR Selma Wanna, Agnes Luhtaru, Jonathan Salfity, Ryan Barron, Juston Moore, Cynthia Matuszek, Mitch Pryor
2025	J	`jnl`	Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics. Stat. Anal. Data Min. Brian Bell, Michael Geyer, David Glickenstein, Keaton Hamm, Carlos Scheidegger, Amanda S. Fernandez, Juston Moore
2024	—	`conf`	Bound Tightening Using Rolling-Horizon Decomposition for Neural Network Verification. CPAIOR (2) Haoruo Zhao, Hassan L. Hijazi, Haydn Thomas Jones, Juston Moore, Mathieu Tanneau, Pascal Van Hentenryck
2024	C	`conf`	Energy-Based Models Trained with Equilibrium Propagation are Inherently Robust. ICMLA Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael A. Teti
2024	J	`jnl`	How Robust Are Energy-Based Models Trained With Equilibrium Propagation? CoRR Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael A. Teti
2024	—	`conf`	Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures. ECCV (80) Sayanton V. Dibbo, Adam Breuer, Juston Moore, Michael A. Teti
2024	J	`jnl`	Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures. CoRR Sayanton V. Dibbo, Adam Breuer, Juston Moore, Michael A. Teti
2024	—	`conf`	Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification. MICCAI (8) Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen
2024	J	`jnl`	Persistent Classification: A New Approach to Stability of Data and Adversarial Examples. CoRR Brian Bell, Michael Geyer, David Glickenstein, Keaton Hamm, Carlos Scheidegger, Amanda S. Fernandez, Juston Moore
2024	J	`jnl`	The Collection of a Human Robot Collaboration Dataset for Cooperative Assembly in Glovebox Environments. CoRR Shivansh Sharma, Mathew Huang, Sanat Nair, Alan Wen, Christina Petlowany, Juston Moore, Selma Wanna, Mitch Pryor
2023	—	`conf`	An Exact Kernel Equivalence for Finite Classification Models. TAG-ML Brian Wesley Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore
2023	J	`jnl`	An Exact Kernel Equivalence for Finite Classification Models. CoRR Brian Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore
2023	J	`jnl`	Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty. CoRR Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Aasa Feragen, Frederik Warburg
2022	A*	`conf`	LCANets: Lateral Competition Improves Robustness Against Corruption and Attack. ICML Michael A. Teti, Garrett T. Kenyon, Ben Migliori, Juston Moore
2022	A*	`conf`	Local Latent Space Bayesian Optimization over Structured Inputs. NeurIPS Natalie Maus, Haydn Thomas Jones, Juston Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner
2013	J	`jnl`	Inferring Multilateral Relations from Dynamic Pairwise Interactions. CoRR Aaron Schein, Juston Moore, Hanna M. Wallach
2012	—	`conf`	Topic-Partitioned Multinetwork Embeddings. NIPS Peter M. Krafft, Juston Moore, Bruce A. Desmarais, Hanna M. Wallach