Connectionists: [CFP]: EGML-EC at GECCO-2022 Workshop on Enhancing Generative Machine Learning with Evolutionary Computation

[João Nuno Correia]

*CALL FOR PAPERS*

*EGML-EC at GECCO-2022*

*Workshop on Enhancing Generative Machine Learning with Evolutionary
Computation*
https://sites.google.com/view/egml-ec2022

*Genetic and Evolutionary Computation Conference (GECCO'22)*

*Boston, USA, July 9-13, 2022*

*Paper Submission Deadline: 11 April 2022*

*Overview and Scope*

Deep generative models (DGMs) have become an important research branch in
deep learning in machine learning and deep learning. DGMs include a broad
family of methods such as generative adversarial networks (GANs),
variational autoencoders (VAEs), and autoregressive (AR) models. These
models combine the advanced deep neural networks with classical density
estimation (either explicit or implicit) for mainly generating synthetic
data samples. Although these methods have achieved state-of-the-art results
in the generation of synthetic data of different types such as images,
speech, text, molecules, video, etc., Deep generative models are still
difficult to train.

There are still open problems, such as the vanishing gradient and mode
collapse in GANs, which limit their performance. Although there are
strategies to minimize the effect of those problems, they remain
fundamentally unsolved. In the last years, evolutionary computation (EC)
and related techniques (e.g. particle swarm optimization) and in the form
of Evolutionary Machine Learning approaches have been successfully applied
to mitigate the problems that arise when training DGMs, leveraging the
quality of the results to impressive levels. Among other approaches, these
new solutions include GAN, VAE, and AR training methods based on
evolutionary and coevolutionary algorithms, the combination of deep
neuroevolution with training approaches, and the evolutionary exploration
of the latent space.

This workshop aims to act as a medium for debate, exchange of knowledge and
experience, and encourage collaboration for researchers focused on DGMs and
the EC community. Bringing these two communities together will be essential
for making significant advances in this research area. Thus, this workshop
provides a critical forum for disseminating the experience in the topic of
enhancing generative modeling with EC, to present new and ongoing research
in the field, and to attract new interest from our community.

*Topics of Interest*

Particular topics of interest are (not exclusively):
·         Evolutionary and co-evolutionary algorithms to train deep
generative models;
·         EC-based optimization of hyper-parameters for deep generative
models;
·         Neuroevolution applied to train deep generative architectures
·         Dynamic EC-based evolution of deep generative models training
parameters
·         Evolutionary latent space exploration
·         Real-world applications of EC-based deep generative models
solutions
·         Multi-criteria adversarial training of deep generative models
·         Evolutionary generative adversarial learning models
·         Software libraries and frameworks for deep generative models
applying EC

All accepted papers of this workshop will be included in the Proceedings of
the Genetic and Evolutionary Computation Conference (GECCO'22) Companion
Volume.



*Important dates*

*Submission opening:* February 11, 2022
*Submission deadline:* April 11, 2022
*Acceptance notification: *April 25, 2022
*Camera-ready and registration: *May 2, 2022
*Workshop date:* TBC depending on GECCO program schedule (July 9 or 13,
2022)
There will be NO EXTENSIONS to any of the deadlines

*Instructions for Authors*

We invite submissions of two types of paper:
·         Regular papers (limit 8 pages)
·         Short papers (limit 4 pages)

Papers should present original work that meets the high-quality standards
of GECCO. Each paper will be rigorously evaluated in a review process.
Accepted papers appear in the ACM digital library as part of the Companion
Proceedings of GECCO. Each paper accepted needs to have at least one author
registered by the author registration deadline. Papers must be submitted
via the online submission system
https://ssl.linklings.net/conferences/gecco/. Please refer to
https://gecco-2022.sigevo.org/Paper-Submission-Instructions for more
detailed instructions. As a published ACM author, you and your co-authors
are subject to all ACM Publications Policies (
https://www.acm.org/publications/policies/toc), including ACM's new
Publications Policy on Research Involving Human Participants and Subjects (
https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects
).


*Workshop Chairs*

·         *Jamal Toutouh, *Univ. of Málaga (ES) - MIT (USA),
jamal at lcc.uma.es
·         *Una-May O’Reilly,* MIT (USA), unamay at csail.mit.edu
·         *João Correia, *University of Coimbra (PT), jncor at dei.uc.pt
·         *Penousal Machado, *University of Coimbra (PT), machado at dei.uc.pt
·         *Sergio Nesmachnow, *Univ. de la República (UY),
sergion at fing.edu.uy



More information at https://sites.google.com/view/egml-ec2022.
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