Evolutionary chemical learning in dimerization networks

arXiv:2506.14006 · cond-mat.stat-mech, cond-mat.dis-nn, cs.LG, nlin.AO, physics.data-an, q-bio.MN · Submitted 2025-06-16 · Read on arXiv

cond-mat.stat-mech, cond-mat.dis-nn, cs.LG, nlin.AO, physics.data-an, q-bio.MN

Submitted: 2025-06-16

Updated: 2026-08-25

Comments: 10 pages, 5 figures + Appendix

Code: https://github.com/atkachen00/ChemClassifierWeb

Project page: https://atkachen00.github.io/ChemClassifierWeb

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Loss Function — 25× in this paper · explained in 2 episodes
• Mutual Information — 13× in this paper
• Gradient Descent — 10× in this paper
• Chemical Learning — 9× in this paper
• Competitive Dimerization Network — 8× in this paper
• Regularization — 6× in this paper · explained in 3 episodes
• Evolutionary Learning — 5× in this paper
• Sparsity — 5× in this paper · explained in 4 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Associative Memory — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Mean Square Error — 1× in this paper

Sources

• Adam: A Method for Stochastic Optimization

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