Blog

I am thrilled to share that two of our papers have been accepted at the LatinX in AI Research Workshop at NeurIPS 2024! These works push the boundaries in causal inference and generative modeling, contributing new methodologies and insights to the field.

I’m excited to announce that our paper, “On Divergence Measures for Training GFlowNets,” authored by Tiago da Silva, Eliezer de Souza da Silva, and Diego Mesquita, has been accepted at NeurIPS 2024!

There is an algorithm to generate Dirichlet samples using a sampler for Gamma distribution for any \( \alpha > 0 \) and \( \beta > 0 \).