Measurement Invariance, Entropy, and Probability. - Steven A. Frank; D. Eric Smith (Entropy, 2010)

The inductive theory of natural selection. - Steven A. Frank (CoRR, 2014)

How to Read Probability Distributions as Statements about Process. - Steven A. Frank (Entropy, 2014)

D'Alembert's Direct and Inertial Forces Acting on Populations: The Price Equation and the Fundamental Theorem of Natural Selection. - Steven A. Frank (Entropy, 2015)

Common Probability Patterns Arise from Simple Invariances. - Steven A. Frank (Entropy, 2016)

The Price Equation Program: Simple Invariances Unify Population Dynamics, Thermodynamics, Probability, Information and Inference. - Steven A. Frank (Entropy, 2018)

A biochemical logarithmic sensor with broad dynamic range. - Steven A. Frank (F1000Research, 2018)

Simple unity among the fundamental equations of science. - Steven A. Frank (CoRR, 2019)

The Fundamental Equations of Change in Statistical Ensembles and Biological Populations. - Steven A. Frank; Frank J. Bruggeman (Entropy, 2020)

Optimizing differential equations to fit data and predict outcomes. - Steven A. Frank (CoRR, 2022)

Automatic differentiation and the optimization of differential equation models in biology. - Steven A. Frank (CoRR, 2022)

Numbers of Mutations within Multicellular Bodies: Why It Matters. - Steven A. Frank (Axioms, 2023)

Precise Traits from Sloppy Components: Perception and the Origin of Phenotypic Response. - Steven A. Frank (Entropy, 2023)

Circuit design in biology and machine learning. I. Random networks and dimensional reduction. - Steven A. Frank (CoRR, 2024)

Circuit design in biology and machine learning. II. Anomaly detection. - Steven A. Frank (CoRR, 2024)

The Price equation reveals a universal force-metric-bias law of algorithmic learning and natural selection. - Steven A. Frank (CoRR, 2025)