2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.MA2024★ 2 cited
Multi-agent Cooperative Games Using Belief Map Assisted Training
Qinwei Huang, Chen Luo, Alex B. Wu +3
In a multi-agent system, agents share their local observations to gain global situational awareness for decision making and collaboration using a message passing system. When to se…
cs.LG2024
Do Counterfactual Examples Complicate Adversarial Training?
Eric Yeats, Cameron Darwin, Eduardo Ortega +2
We leverage diffusion models to study the robustness-performance tradeoff of robust classifiers. Our approach introduces a simple, pretrained diffusion method to generate low-norm…
cs.LG2023
Adversarial Estimation of Topological Dimension with Harmonic Score Maps
Eric Yeats, Cameron Darwin, Frank Liu +1
Quantification of the number of variables needed to locally explain complex data is often the first step to better understanding it. Existing techniques from intrinsic dimension es…