22 citations · 128 across the 29 of their papers we have counts for
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cs.AI2022★ 7 cited
A Psychological Theory of Explainability
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
The goal of explainable Artificial Intelligence (XAI) is to generate human-interpretable explanations, but there are no computationally precise theories of how humans interpret AI…
cs.LG2022
Evolution of beliefs in social networks
Pushpi Paranamana, Pei Wang, Patrick Shafto
Evolution of beliefs of a society are a product of interactions between people (horizontal transmission) in the society over generations (vertical transmission). Researchers have s…
cs.LG2022
On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel
Chi-Ken Lu, Patrick Shafto
Deep Gaussian Process (DGP) as a model prior in Bayesian learning intuitively exploits the expressive power in function composition. DGPs also offer diverse modeling capabilities,…