activity
20202026
most citedTransformers learn in-context by gradient descent

89 citations · 111 across the 11 of their papers we have counts for

collaborators

12 papers

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…

cs.AI2025

Differentiable Logic Cellular Automata: From Game of Life to Pattern Generation

Pietro Miotti, Eyvind Niklasson, Ettore Randazzo +1

This paper introduces Differentiable Logic Cellular Automata (DiffLogic CA), a novel combination of Neural Cellular Automata (NCA) and Differentiable Logic Gates Networks (DLGNs).…

cs.NE2024★ 2 cited

Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction

Blaise Agüera y Arcas, Jyrki Alakuijala, James Evans +5

The fields of Origin of Life and Artificial Life both question what life is and how it emerges from a distinct set of "pre-life" dynamics. One common feature of most substrates whe…

cs.AI2023★ 1 cited

Biomaker CA: a Biome Maker project using Cellular Automata

Ettore Randazzo, Alexander Mordvintsev

We introduce Biomaker CA: a Biome Maker project using Cellular Automata (CA). In Biomaker CA, morphogenesis is a first class citizen and small seeds need to grow into plant-like or…

q-bio.MN2023

Differentiable Programming of Chemical Reaction Networks

Alexander Mordvintsev, Ettore Randazzo, Eyvind Niklasson

We present a differentiable formulation of abstract chemical reaction networks (CRNs) that can be trained to solve a variety of computational tasks. Chemical reaction networks are…

cs.NE2023

Growing Steerable Neural Cellular Automata

Ettore Randazzo, Alexander Mordvintsev, Craig Fouts

Neural Cellular Automata (NCA) models have shown remarkable capacity for pattern formation and complex global behaviors stemming from local coordination. However, in the original i…