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20242026
most citedNeuroevolution of Decentralized Decision-Making in N-Bead Swimmers Leads to Scalable and Robust Collective Locomotion

7 citations · 16 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.NE2026

On Growth and Form, and Function: Reusable Regulatory Handles Control Phenotypic Variation

Benedikt Hartl, Milton L. Montero, Marcello Barylli +2

How phenotypic transformations are implemented by changes in underlying regulatory dynamics remains a central question in developmental biology. Inspired by D'Arcy Thompson's 1917…

cs.NE2026

Limbomorphs

Alex Alvarez, Michael Levin

Artificial life systems are typically defined by a set of dynamical rules over an environment, an agent, or both, from which lifelike patterns may emerge. Gifbreeder is an animated…

cs.NE2026

The Causally Emergent Alignment Hypothesis: Causal Emergence Aligns with and Predicts Final Reward in Reinforcement Learning Agents

Federico Pigozzi, Michael Levin

A hallmark of life on Earth is the ability of agents to exert causal power and be drivers of subsequent events. This is key to cognition at all scales. Causal emergence, measuring…

cs.NE2024★ 3 cited

Heuristically Adaptive Diffusion-Model Evolutionary Strategy

Benedikt Hartl, Yanbo Zhang, Hananel Hazan +1

Diffusion Models represent a significant advancement in generative modeling, employing a dual-phase process that first degrades domain-specific information via Gaussian noise and r…

cs.NE2024★ 3 cited

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…