| Vol-2692 urn:nbn:de:0074-2692-5 Copyright © JJJJ for the individual papers by the papers' authors. Copyright © JJJJ for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# ADGN 2020
Applied Deep Generative Networks

### Proceedings of the Workshop on Applied Deep Generative Networks
co-located with 24th European Conference on Artificial Intelligence (ECAI 2020)

### Santiago de Compostela, Spain, August 29th, 2020.

Edited by

### Jer Hayes (1)
Cathal Gurrin (2)
Azzurra Pini (3)
Mark Keane (4)

(1) Accenture.
(2) Dublin City University, School of Computing.
(3) Fjord.
(4) University College Dublin, School of Computer Science.

## Table of Contents

- Preface

### Accepted papers

- Limitations and Applicability of GANs in Banking Domain
  Anubha Pandey, Deepak Bhatt, Tanmoy Bhowmik
- Latent Weights Generating for Few Shot Learning Using Information Theory
  Yiwei Zhang, Zongyang Li
- Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation information
  Gusztáv Gaál, Balázs Maga, András Lukács
- TravelGANs. A Design Approach to Style Transfer
  Azzurra Pini
- Generative Design for Social Manufacturing
  Carlos González-Val, Santiago Muiños-Landin
- ChemoVerse: Manifold Traversal of Latent Spaces for Novel Molecule Discovery
  Harshdeep Singh, Nicholas McCarthy, Qurrat Ul Ain, Jer Hayes
- Towards Latent Space Exploration for Classifier Improvement
  Paulo Fernandes, João Correia, Penousal Machado

2020-09-11: submitted by Jer Hayes, metadata incl. bibliographic data published under Creative Commons CC0
2020-09-30: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|