On Divergence Measures for Training GFlowNets
arXiv:2410.09355v2 Announce Type: cross
Abstract: Generative Flow Networks (GFlowNets) are amortized inference models designed to sample from unnormalized distributions over composable objects, with applications in generative modeling for tasks in fie…