Generative Models for Relief Perspective Architectures

A Generative Lexicon Perspective for Adjectival Modification

This paper ln'esenl.s a semantic interpretation of adjectival modilicatiotl in terms of the Generative l,cxicon. It. tfighlights the elements wlfich can be borrowed from the GI, and develops limitations and extensions. We show how elements of the Qualia structure can bc incorporated into semantic composition rules to make explicit the semantics of the combination adjective + noun.

Entropy Estimates for Generative Models

Different approaches to generative modeling entail different approaches to evaluation. While some models admit test likelihood estimation, for others only proxy metrics for visual quality are being reported. In this paper, we propose a simple method to compute differential entropy of an arbitrary decoder-based generative model. Using this approach, we found that models with qualitatively differ...

Adversarial examples for generative models

We explore methods of producing adversarial examples on deep generative models such as the variational autoencoder (VAE) and the VAE-GAN. Deep learning architectures are known to be vulnerable to adversarial examples, but previous work has focused on the application of adversarial examples to classification tasks. Deep generative models have recently become popular due to their ability to model...

Generative Models for Chemical Structures

We apply recently developed techniques for pattern recognition to construct a generative model for chemical structure. This approach can be viewed as ligand-based de novo design. We construct a statistical model describing the structural variations present in a set of molecules which may be sampled to generate new structurally similar examples. We prevent the possibility of generating chemicall...

Generative Models for Computer Vision