collaborators

8 papers

physics.bio-ph2026

Emergent swimming strategies of a smart three-bead swimmer

Ruma Maity, Maximilian Huebl, Julian Lemmel +2

Low-Reynolds-number microswimmers have recently attracted much interest for their ubiquity in biology and their applications in biotechnology and medicine. However, a key obstacle…

nlin.CG2026

Agnosiophobia in a virtual agent: behavioral and dynamical architecture in Lenia

Jesse Cool, Benedikt Hartl, Michael Levin +1

All embodied agents are fundamentally patterns in physiological or other excitable media, blurring the distinction between objects and processes. Emergent patterns with complex beh…

cs.NE2026

Diffusion Models are Evolutionary Algorithms

Yanbo Zhang, Benedikt Hartl, Hananel Hazan +1

In a convergence of machine learning and biology, we reveal that diffusion models are evolutionary algorithms. By considering evolution as a denoising process and reversed evolutio…

cs.LG2026

A Little Rank Goes a Long Way: Random Scaffolds with LoRA Adapters Are All You Need

Hananel Hazan, Yanbo Zhang, Benedikt Hartl +1

How many of a neural network's parameters actually encode task-specific information? We investigate this question with LottaLoRA, a training paradigm in which every backbone weight…

cs.AI2026

BraiNCA: brain-inspired neural cellular automata and applications to morphogenesis and motor control

Léo Pio-Lopez, Benedikt Hartl, Michael Levin

Most of the Neural Cellular Automata (NCAs) defined in the literature have a common theme: they are based on regular grids with a Moore neighborhood (one-hop neighbour). They do no…

cs.NE2026

Evolving Symbiosis, from Barricelli's Legacy to Collective Intelligence: a simulated and conceptual approach

James Ashford, Marko Cvjetko, Richard Löffler +6

This report documents the work of our group (named SymBa) at the ALICE 2026 workshop in Copenhagen. Inspired by the pioneering work by Nils Aall Barricelli on symbiogenesis of nume…