Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Baking Symmetry into GFlowNets
George Ma, Emmanuel Bengio, Yoshua Bengio +1
GFlowNets have exhibited promising performance in generating diverse candidates with high rewards. These networks generate objects incrementally and aim to learn a policy that assi…
cs.LG2024
A Canonicalization Perspective on Invariant and Equivariant Learning
George Ma, Yifei Wang, Derek Lim +2
In many applications, we desire neural networks to exhibit invariance or equivariance to certain groups due to symmetries inherent in the data. Recently, frame-averaging methods em…