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
Showing cs.LGShow all

5 papers · 1 filter

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.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…