Evolution of Layer Based Neural Networks: Preliminary Report. - Edward R. Pantridge; Lee Spector (GECCO (Companion), 2016)

Improving generalization of evolved programs through automatic simplification. - Thomas Helmuth; Nicholas Freitag McPhee; Edward R. Pantridge; Lee Spector (GECCO, 2017)

On the difficulty of benchmarking inductive program synthesis methods. - Edward R. Pantridge; Thomas Helmuth; Nicholas Freitag McPhee; Lee Spector (GECCO (Companion), 2017)

PyshGP: PushGP in Python. - Edward R. Pantridge; Lee Spector (GECCO (Companion), 2017)

TensorFlow enabled genetic programming. - Kai Staats; Edward R. Pantridge; Marco Cavaglià; Iurii Milovanov; Arun Aniyan (GECCO (Companion), 2017)

Relaxations of Lexicase Parent Selection. - Lee Spector; William G. La Cava; Saul Shanabrook; Thomas Helmuth; Edward R. Pantridge (GPTP, 2017)

Specialization and elitism in lexicase and tournament selection. - Edward R. Pantridge; Thomas Helmuth; Nicholas Freitag McPhee; Lee Spector (GECCO (Companion), 2018)

Plushi: an embeddable, language agnostic, push interpreter. - Edward R. Pantridge; Lee Spector (GECCO (Companion), 2018)

Lexicase selection of specialists. - Thomas Helmuth; Edward R. Pantridge; Lee Spector (GECCO, 2019)

Comparison of Linear Genome Representations for Software Synthesis. - Edward R. Pantridge; Thomas Helmuth; Lee Spector (GPTP, 2019)

Error Correcting Algorithms for Sparsely Correlated Regressors. - Andrés Corrada-Emmanuel; Edward Zahrebelski; Edward R. Pantridge (CoRR, 2019)

Transfer Learning of Genetic Programming Instruction Sets. - Thomas Helmuth; Edward R. Pantridge; Grace Woolson; Lee Spector (GECCO Companion, 2020)

Counterexample-driven genetic programming without formal specifications. - Thomas Helmuth; Lee Spector; Edward R. Pantridge (GECCO Companion, 2020)

Code building genetic programming. - Edward R. Pantridge; Lee Spector (GECCO, 2020)

Genetic Source Sensitivity and Transfer Learning in Genetic Programming. - Thomas Helmuth; Edward R. Pantridge; Grace Woolson; Lee Spector (ALIFE, 2020)

Algebraic Ground Truth Inference: Non-Parametric Estimation of Sample Errors by AI Algorithms. - Andrés Corrada-Emmanuel; Edward R. Pantridge; Edward Zahrebelski; Aditya Chaganti; Simeon Simeonov (CoRR, 2020)

Independence Tests Without Ground Truth for Noisy Learners. - Andrés Corrada-Emmanuel; Edward R. Pantridge; Eddie Zahrebelski; Aditya Chaganti; Simeon Simeonov (CoRR, 2020)

On the importance of specialists for lexicase selection. - Thomas Helmuth; Edward R. Pantridge; Lee Spector (Genet. Program. Evolvable Mach., 2020)

Functional code building genetic programming. - Edward R. Pantridge; Thomas Helmuth; Lee Spector (GECCO, 2022)

Probabilistic Lexicase Selection. - Li Ding 010; Edward R. Pantridge; Lee Spector (GECCO, 2023)

Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism. - Edward R. Pantridge; Thomas Helmuth (GECCO, 2023)

Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming. - Thomas Helmuth; Edward R. Pantridge; James Gunder Frazier; Lee Spector (EuroGP, 2024)

Facilitating Function Application in Code Building Genetic Programming. - Thomas Helmuth; Jayden Fedoroff; Edward R. Pantridge; Lee Spector (GECCO, 2024)