Massively parallel DNA computation: Expansion of symbolic determinants. - Thomas H. Leete; Matthew D. Schwartz; Robert M. Williams; David Harlan Wood; Jerome S. Salem; Harvey Rubin (DNA Based Computers, 1996)

Challenges for Unsupervised Anomaly Detection in Particle Physics. - Katherine Fraser; Samuel Homiller; Rashmish K. Mishra; Bryan Ostdiek; Matthew D. Schwartz (CoRR, 2021)

Reconstructing S-matrix Phases with Machine Learning. - Aurélien Dersy; Matthew D. Schwartz; Alexander Zhiboedov (CoRR, 2023)

Simplifying polylogarithms with machine learning. - Aurélien Dersy; Matthew D. Schwartz; Xiaoyuan Zhang (Int. J. Data Sci. Math. Sci., 2023)

Learning the Simplicity of Scattering Amplitudes. - Clifford Cheung; Aurélien Dersy; Matthew D. Schwartz (CoRR, 2024)

Neural network field theories: non-Gaussianity, actions, and locality. - Mehmet Demirtas; James Halverson; Anindita Maiti; Matthew D. Schwartz; Keegan Stoner (Mach. Learn. Sci. Technol., 2024)

Analytic Regression of Feynman Integrals from High-Precision Numerical Sampling. - Oscar Barrera; Aurélien Dersy; Rabia Husain; Matthew D. Schwartz; Xiaoyuan Zhang (CoRR, 2025)