7 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 7 cited
Tiered Latent Representations and Latent Spaces for Molecular Graphs
Daniel T. Chang
Molecular graphs generally contain subgraphs (known as groups) that are identifiable and significant in composition, functionality, geometry, etc. Flat latent representations (node…
cs.LG2019★ 5 cited
Probabilistic Generative Deep Learning for Molecular Design
Daniel T. Chang
Probabilistic generative deep learning for molecular design involves the discovery and design of new molecules and analysis of their structure, properties and activities by probabi…
cs.LG2018★ 3 cited
Latent Variable Modeling for Generative Concept Representations and Deep Generative Models
Daniel T. Chang
Latent representations are the essence of deep generative models and determine their usefulness and power. For latent representations to be useful as generative concept representat…