4 citations · 6 across the 3 of their papers we have counts for
Showing 2019Show all
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stat.ML2019★ 2 cited
Kernelized Capsule Networks
Taylor Killian, Justin Goodwin, Olivia Brown +1
Capsule Networks attempt to represent patterns in images in a way that preserves hierarchical spatial relationships. Additionally, research has demonstrated that these techniques m…
cs.LG2019
Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning
Andrew Silva, Taylor Killian, Ivan Dario Jimenez Rodriguez +2
Decision trees are ubiquitous in machine learning for their ease of use and interpretability. Yet, these models are not typically employed in reinforcement learning as they cannot…