activity
20192026
most citedIntrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems

15 citations · 42 across the 10 of their papers we have counts for

collaborators

11 papers

cs.LG2026

Reasoning with Neural Cellular Automata

Mayalen Etcheverry, Pietro Miotti, Aidan Sirbu +7

Modern AI architectures used to solve visual reasoning tasks typically rely heavily on global connectivity and synchronization. As biological systems demonstrate, though, sophistic…

cs.LG2026

Diffusion as a Training Curriculum for Timestep-Free Iterative Reasoning

Mariia Drozdova, Aidan Sirbu, Pietro Miotti +4

Diffusion models and recursive reasoners are both iterative, but they carry information across iterations differently. We add a persistent hidden state to a diffusion denoiser and…

cs.NE2026

Coevolution of self-replication and function in a digital primordial soup

Francesco Cicala, Eyvind Niklasson, Ettore Randazzo +8

While traditional evolutionary algorithms hard-code reproduction, self-replication can emerge spontaneously within digital ``primordial soups''. This paper investigates the coevolu…

nlin.CG2025★ 1 cited

Flow-Lenia: Emergent evolutionary dynamics in mass conservative continuous cellular automata

Erwan Plantec, Gautier Hamon, Mayalen Etcheverry +3

Central to the artificial life endeavour is the creation of artificial systems spontaneously generating properties found in the living world such as autopoiesis, self-replication,…

cs.MA2024★ 3 cited

Discovering Sensorimotor Agency in Cellular Automata using Diversity Search

Gautier Hamon, Mayalen Etcheverry, Bert Wang-Chak Chan +2

The research field of Artificial Life studies how life-like phenomena such as autopoiesis, agency, or self-regulation can self-organize in computer simulations. In cellular automat…

cs.AI2023

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

Mayalen Etcheverry, Bert Wang-Chak Chan, Clément Moulin-Frier +1

Can we build an artificial system that would be able to generate endless surprises if ran "forever" in Minecraft? While there is not a single path toward solving that grand challen…

q-bio.BM2023★ 8 cited

SBMLtoODEjax: Efficient Simulation and Optimization of Biological Network Models in JAX

Mayalen Etcheverry, Michael Levin, Clément Moulin-Frier +1

Advances in bioengineering and biomedicine demand a deep understanding of the dynamic behavior of biological systems, ranging from protein pathways to complex cellular processes. B…

cs.NE2022★ 2 cited

Flow-Lenia: Towards open-ended evolution in cellular automata through mass conservation and parameter localization

Erwan Plantec, Gautier Hamon, Mayalen Etcheverry +3

The design of complex self-organising systems producing life-like phenomena, such as the open-ended evolution of virtual creatures, is one of the main goals of artificial life. Len…

cs.LG2020★ 13 cited

Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems

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

Self-organization of complex morphological patterns from local interactions is a fascinating phenomenon in many natural and artificial systems. In the artificial world, typical exa…

cs.LG2020

Progressive growing of self-organized hierarchical representations for exploration

Mayalen Etcheverry, Pierre-Yves Oudeyer, Chris Reinke

Designing agent that can autonomously discover and learn a diversity of structures and skills in unknown changing environments is key for lifelong machine learning. A central chall…

cs.LG2019★ 15 cited

Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems

Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer

In many complex dynamical systems, artificial or natural, one can observe self-organization of patterns emerging from local rules. Cellular automata, like the Game of Life (GOL), h…