all AI news
Generative Flow Networks for Discrete Probabilistic Modeling. (arXiv:2202.01361v1 [cs.LG])
Feb. 4, 2022, 2:11 a.m. | Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron Courville, Yoshua Bengio
cs.LG updates on arXiv.org arxiv.org
We present energy-based generative flow networks (EB-GFN), a novel
probabilistic modeling algorithm for high-dimensional discrete data. Building
upon the theory of generative flow networks (GFlowNets), we model the
generation process by a stochastic data construction policy and thus amortize
expensive MCMC exploration into a fixed number of actions sampled from a
GFlowNet. We show how GFlowNets can approximately perform large-block Gibbs
sampling to mix between modes. We propose a framework to jointly train a
GFlowNet with an energy function, so …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US