48 citations · 144 across the 28 of their papers we have counts for
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cs.LG2020★ 3 cited
Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling
Bo Pang, Erik Nijkamp, Jiali Cui +2
This paper proposes a latent space energy-based prior model for semi-supervised learning. The model stands on a generator network that maps a latent vector to the observed example.…
cs.LG2020★ 6 cited
Learning Latent Space Energy-Based Prior Model for Molecule Generation
Bo Pang, Tian Han, Ying Nian Wu
Deep generative models have recently been applied to molecule design. If the molecules are encoded in linear SMILES strings, modeling becomes convenient. However, models relying on…