David Marx

### Broad Research Interests * Text guided image synthesis * AI-assisted animation * Representation learning * contrastive * semi-supervised * adversarial * composable * multi-modal * Application of topolgical and geometric methods to machine learning * Generative models * Inductive priors * Learning theory ### Current Areas of Research Focus * Modeling with implicit representations and operators * Composable representations * Latent-space manipulation * Scale-agnostic learning * Artistic applications of multi-modal generative models