most citedHeuristically Adaptive Diffusion-Model Evolutionary Strategy

3 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20251 cited

Equilibrium flow: From Snapshots to Dynamics

Yanbo Zhang, Michael Levin

Scientific data, from cellular snapshots in biology to celestial distributions in cosmology, often consists of static patterns from underlying dynamical systems. These snapshots, w…

cs.AI2025

Neural cellular automata: applications to biology and beyond classical AI

Benedikt Hartl, Michael Levin, Léo Pio-Lopez

Neural Cellular Automata (NCA) represent a powerful framework for modeling biological self-organization, extending classical rule-based systems with trainable, differentiable (or e…

q-bio.OT2025

What Lives? A meta-analysis of diverse opinions on the definition of life

Reed Bender, Karina Kofman, Blaise Agüera y Arcas +1

The question of "what is life?" has challenged scientists and philosophers for centuries, producing an array of definitions that reflect both the mystery of its emergence and the d…

q-bio.NC20242 cited

Bio-inspired AI: Integrating Biological Complexity into Artificial Intelligence

Nima Dehghani, Michael Levin

The pursuit of creating artificial intelligence (AI) mirrors our longstanding fascination with understanding our own intelligence. From the myths of Talos to Aristotelian logic and…

cs.NE20243 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…