2 papers
cs.LG2023
SpecXAI -- Spectral interpretability of Deep Learning Models
Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy +2
Deep learning is becoming increasingly adopted in business and industry due to its ability to transform large quantities of data into high-performing models. These models, however,…
cs.CV2022
Concept Activation Vectors for Generating User-Defined 3D Shapes
Stefan Druc, Aditya Balu, Peter Wooldridge +2
We explore the interpretability of 3D geometric deep learning models in the context of Computer-Aided Design (CAD). The field of parametric CAD can be limited by the difficulty of…