Mayalen Etcheverry

According to our database, Mayalen Etcheverry authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Discovering Sensorimotor Agency in Cellular Automata using Diversity Search.

Gautier Hamon, Mayalen Etcheverry, Bert Wang-Chak Chan, Clément Moulin-Frier, Pierre-Yves Oudeyer

CoRR, 2024

2023

Curiosity-driven AI for Science: Automated Discovery of Self-Organized Structures. (IA Curieuse au service de la Science: Découverte Automatisée de Structures Auto-Organisées).

Mayalen Etcheverry

PhD thesis, 2023

Meta-Diversity Search in Complex Systems, A Recipe for Artificial Open-Endedness ?

Mayalen Etcheverry, Bert Wang-Chak Chan, Clément Moulin-Frier, Pierre-Yves Oudeyer

CoRR, 2023

SBMLtoODEjax: efficient simulation and optimization of ODE SBML models in JAX.

Mayalen Etcheverry, Michael Levin, Clément Moulin-Frier, Pierre-Yves Oudeyer

CoRR, 2023

2022

Flow Lenia: Mass conservation for the study of virtual creatures in continuous cellular automata.

Erwan Plantec, Gautier Hamon, Mayalen Etcheverry, Pierre-Yves Oudeyer, Clément Moulin-Frier, Bert Wang-Chak Chan

CoRR, 2022

2020

Progressive growing of self-organized hierarchical representations for exploration.

Mayalen Etcheverry, Pierre-Yves Oudeyer, Chris Reinke

CoRR, 2020

Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems.

Mayalen Etcheverry, Clément Moulin-Frier, Pierre-Yves Oudeyer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems.

Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Intrinsically Motivated Exploration for Automated Discovery of Patterns in Morphogenetic Systems.

Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer

CoRR, 2019

2018

Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images.

Mayalen Etcheverry, Bogdan Georgescu, Benjamin Odry, Thomas J. Re, Shivam Kaushik, Bernhard Geiger, Mariappan S. Nadar, Sasa Grbic, Dorin Comaniciu

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018