Matthew D. Schwartz

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 6

Top Topics

Binary Matrices

Unsupervised Anomaly Detection

Machine Learning

Top Venues

Mach. Learn. Sci. Technol.

Int. J. Data Sci. Math. Sci.

Publications

Mehmet Demirtas, James Halverson, Anindita Maiti, Matthew D. Schwartz, Keegan Stoner
Neural network field theories: non-Gaussianity, actions, and locality. Mach. Learn. Sci. Technol. 5 (1) (2024)
Aurélien Dersy, Matthew D. Schwartz, Xiaoyuan Zhang
Simplifying polylogarithms with machine learning. Int. J. Data Sci. Math. Sci. 1 (2) (2023)
Mehmet Demirtas, James Halverson, Anindita Maiti, Matthew D. Schwartz, Keegan Stoner
Neural Network Field Theories: Non-Gaussianity, Actions, and Locality. CoRR (2023)
Aurélien Dersy, Matthew D. Schwartz, Alexander Zhiboedov
Reconstructing S-matrix Phases with Machine Learning. CoRR (2023)
Aurélien Dersy, Matthew D. Schwartz, Xiaoyuan Zhang
Simplifying Polylogarithms with Machine Learning. CoRR (2022)
Katherine Fraser, Samuel Homiller, Rashmish K. Mishra, Bryan Ostdiek, Matthew D. Schwartz
Challenges for Unsupervised Anomaly Detection in Particle Physics. CoRR (2021)
Thomas H. Leete, Matthew D. Schwartz, Robert M. Williams, David Harlan Wood, Jerome S. Salem, Harvey Rubin
Massively parallel DNA computation: Expansion of symbolic determinants. DNA Based Computers (1996)