2 papers
cs.LG2026
Hyperbolic Concept Bottleneck Models
Daniel Uyterlinde, Swasti Shreya Mishra, Pascal Mettes
Concept Bottleneck Models (CBMs) have become a popular approach to enable interpretability in neural networks by constraining classifier inputs to a set of human-understandable con…
cs.AI2025
Symmetry-Aware Fully-Amortized Optimization with Scale Equivariant Graph Metanetworks
Bart Kuipers, Freek Byrman, Daniel Uyterlinde +1
Amortized optimization accelerates the solution of related optimization problems by learning mappings that exploit shared structure across problem instances. We explore the use of…