36 citations · 149 across the 21 of their papers we have counts for
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cs.LG2022★ 36 cited
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna +9
Deploying AI-powered systems requires trustworthy models supporting effective human interactions, going beyond raw prediction accuracy. Concept bottleneck models promote trustworth…
cs.PL2022★ 4 cited
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino, Giuseppe Marra, Emanuele Sansone
We present VAEL, a neuro-symbolic generative model integrating variational autoencoders (VAE) with the reasoning capabilities of probabilistic logic (L) programming. Besides standa…