82 citations · 129 across the 9 of their papers we have counts for
4 papers · 1 filter
Frame-based Equivariant Diffusion Models for 3D Molecular Generation
Mohan Guo, Cong Liu, Patrick Forré
Recent methods for molecular generation face a trade-off: they either enforce strict equivariance with costly architectures or relax it to gain scalability and flexibility. We prop…
Möbius transforms and Shapley values for vector-valued functions on weighted directed acyclic multigraphs
Patrick Forré, Abel Jansma
Möbius inversion and Shapley values are two mathematical tools for characterizing and decomposing higher-order structure in complex systems. The former defines higher-order interac…
AdS-GNN -- a Conformally Equivariant Graph Neural Network
Maksim Zhdanov, Nabil Iqbal, Erik Bekkers +1
Conformal symmetries, i.e.\ coordinate transformations that preserve angles, play a key role in many fields, including physics, mathematics, computer vision and (geometric) machine…
Modeling Human Beliefs about AI Behavior for Scalable Oversight
Leon Lang, Patrick Forré
As AI systems advance beyond human capabilities, scalable oversight becomes critical: how can we supervise AI that exceeds our abilities? A key challenge is that human evaluators m…