no code implementations • 5 Oct 2021 • Avi Pfeffer, Michael Harradon, Joseph Campolongo, Sanja Cvijic
These representations are defined implicitly using a set of standardized operations that can be performed on them.
no code implementations • 7 Jun 2021 • Jeff Druce, Michael Harradon, James Tittle
We consider the problem of providing users of deep Reinforcement Learning (RL) based systems with a better understanding of when their output can be trusted.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +2
no code implementations • 2 Feb 2018 • Michael Harradon, Jeff Druce, Brian Ruttenberg
We develop an approach to explaining deep neural networks by constructing causal models on salient concepts contained in a CNN.