Generative flow networks (GFlowNets) are amortized variational inference...
Continuous normalizing flows (CNFs) are an attractive generative modelin...
In many applications of machine learning, like drug discovery and materi...
Generative flow networks (GFlowNets) are a family of algorithms for trai...
Selecting optimal drug repurposing combinations for further preclinical
...
Epistemic uncertainty is the part of out-of-sample prediction error due ...
We revisit the Frank-Wolfe (FW) optimization under strongly convex const...