Researcher, SUPSI - University of Applied Sciences Southern Switzerland
1 paper at NeurIPS 2025
We propose Causally reliable Concept Bottleneck Models (C2BMs), a class of concept-based architectures that enforce reasoning through a bottleneck of concepts structured according to a model of the real-world causal mechanisms.
