Below you will find the extended deadline call for papers for EGM 2025 -
The first workshop on Evolutionary Generative Models.
https://sites.google.com/view/egm-2025
Feel free to distribute, and thank you for your time.
Best regards,
The Workshop Chairs
João Correia
Jamal Toutouh
Una-May O'Reilly
Penousal Machado
Erik Hemberg
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CALL FOR PAPERS
EGM@GECCO'25
1st Workshop on Enhancing Generative Machine Learning with Evolutionary
Computation
https://sites.google.com/view/egm-2025
Genetic and Evolutionary Computation Conference (GECCO'25)
Málaga, Spain, July 14 to 18, 2025
Overview and Scope
Generative Models have emerged as key to the field in Artificial
Intelligence (AI). In general, a generative model is an AI algorithm that
learns the underlying data distribution to produce new distributions, thus
generating new data. Evolutionary generative models refer to generative
approaches that employ any type of evolutionary algorithm, whether applied
on its own or in conjunction with other methods. In a broader sense we can
divide evolutionary generative models into at least three main types:
(i) Evolutionary Computation (EC) as a Generative Model focuses on
exploring how EC techniques that serve directly as generative models to
produce data, designs, or solutions that fulfill specific criteria or
constraints;
(ii) Generative Models Assisting EC consists in modern generative models,
such as Generative Adversarial Networks or diffusion models, that enhance
the performance and capabilities of EC methods (e.g., using generative
models such as surrogate).
(iii) EC Assisting Generative Models discusses the role of EC techniques in
enhancing generative models themselves, particularly through optimization
and exploration. This includes approaches where EC is used to evolve or
optimize the parameters of generative networks, help address generative
models issues, or introduce adaptive mechanisms that improve model
flexibility and resilience. It also delves into topics related to EC
population dynamics such as cooperative or adversarial approaches.
The workshop on Evolutionary Generative Models (EGM) aims to act as a
medium for debate, exchange of knowledge and experience, and encourage
collaboration for researchers focused on generative models in the EC
community. Thus, this workshop provides a critical forum for disseminating
the experience on the topic using EC as a generative model, generative
models assisting EC and EC assisting generative models, presenting new and
ongoing research in the field, and to attract new interest from our
community.
Topics:
. Evolutionary Generative Models
. Generative Models in Evolutionary Computation
. Evolutionary Machine Learning Generative Models
. Evolutionary Generative Artificial Intelligence
. EC-assisted Generative Machine Learning training, generation,
hyperparameter optimisation or architecture search.
. Co-operative or Adversarial Generative Models
. Evolutionary latent and embedding space exploration (e.g. LVEs)
. Interaction with Evolutionary Generative Models
. Real-world applications of Evolutionary Generative Models solutions
. Software libraries and frameworks for Evolutionary Generative Models
All accepted papers of this workshop will be included in the Proceedings of
the Genetic and Evolutionary Computation Conference (GECCO'25) Companion
Volume.
Important dates
Submission opening: February 10, 2025
Submission deadline: March 26, 2025
Acceptance notification: April 28, 2025
Camera-ready and registration: May 5, 2025
Workshop date: TBC depending on GECCO program schedule (July 14 or 18, 2025)
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-2025.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
· João Correia, University of Coimbra (PT), jncor@dei.uc.pt
. Jamal Toutouh, Univ. of Málaga (ES) - MIT (USA), jamal@uma.es
· Una-May O'Reilly, MIT (USA), unamay@csail.mit.edu
· Penousal Machado, University of Coimbra (PT), machado@dei.uc.pt
· Erik Hemberg, MIT (USA), hembergerik@csail.mit.edu
More information at https://sites.google.com/view/egm-2025
--
Jamal Toutouh El Alamin
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