Mayalen Etcheverry

Joined

June 2023

Names

Mayalen Etcheverry (Preferred)

Emails

****@inria.fr (Confirmed)

,

****@gmail.com (Confirmed)

Personal Links

Career & Education History

PhD student

INRIA (inria.fr)

2020 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

SBMLtoODEjax: Efficient Simulation and Optimization of Biological Network Models in JAX
Mayalen Etcheverry, Michael Levin, Clément Moulin-Frier, Pierre-Yves Oudeyer
- NeurIPS2023-AI4Science Poster
- Readers: Everyone
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 Chan
- 20 Sept 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
SBMLtoODEjax: efficient simulation and optimization of ODE SBML models in JAX
Mayalen Etcheverry, Michael Levin, Clément Moulin-Frier, Pierre-Yves Oudeyer
- Published: 01 Jan 2023, Last Modified: 13 Feb 2024
- CoRR 2023
- Readers: Everyone
Meta-Diversity Search in Complex Systems, A Recipe for Artificial Open-Endedness ?
Mayalen Etcheverry, Bert Wang-Chak Chan, Clément Moulin-Frier, Pierre-Yves Oudeyer
- Published: 01 Jan 2023, Last Modified: 13 Feb 2024
- CoRR 2023
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 13 Feb 2024
- undefined 2023
- Readers: Everyone
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
Mayalen Etcheverry, Clément Moulin-Frier, Pierre-Yves Oudeyer
- 2020 (modified: 20 May 2025)
- NeurIPS 2020
- Readers: Everyone
Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems
Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer
- Published: 01 Jan 2020, Last Modified: 13 Feb 2024
- ICLR 2020
- Readers: Everyone
Progressive growing of self-organized hierarchical representations for exploration
Mayalen Etcheverry, Pierre-Yves Oudeyer, Chris Reinke
- Published: 01 Jan 2020, Last Modified: 13 Feb 2024
- CoRR 2020
- Readers: Everyone
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
- 2018 (modified: 10 Nov 2022)
- DLMIA/ML-CDS@MICCAI 2018
- Readers: Everyone

Co-Authors