Parameterized algorithms for identifying gene co-expression modules via weighted clique decomposition. - Madison Cooley; Casey S. Greene; Davis Issac; Milton Pividori; Blair D. Sullivan (ACDA, 2021)

Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction. - Zhen Wang 037; Madison Cooley; Yang Zhang 042; Chao Lan; Ji Zhang 001 (IEEE Big Data, 2022)

Solving High Frequency and Multi-Scale PDEs with Gaussian Processes. - Shikai Fang; Madison Cooley; Da Long; Shibo Li; Mike Kirby; Shandian Zhe (ICLR, 2024)

Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation. - Madison Cooley; Shandian Zhe; Robert M. Kirby; Varun Shankar (CoRR, 2024)

HyResPINNs: Adaptive Hybrid Residual Networks for Learning Optimal Combinations of Neural and RBF Components for Physics-Informed Modeling. - Madison Cooley; Robert M. Kirby; Shandian Zhe; Varun Shankar (CoRR, 2024)

Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases. - Madison Cooley; Varun Shankar; Mike Kirby; Shandian Zhe (Trans. Mach. Learn. Res., 2025)