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Journal Articles
- 2024
[j2]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): 15002 (2024)- 2023
- [j1]Aurélien Dersy, Matthew D. Schwartz, Xiaoyuan Zhang:
Simplifying polylogarithms with machine learning. Int. J. Data Sci. Math. Sci. 1(2): 135-179 (2023)
Conference and Workshop Papers
- 1996
- [c1]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: 45-58
Informal and Other Publications
- 2023
- [i4]Mehmet Demirtas, James Halverson, Anindita Maiti, Matthew D. Schwartz, Keegan Stoner:
Neural Network Field Theories: Non-Gaussianity, Actions, and Locality. CoRR abs/2307.03223 (2023) - [i3]Aurélien Dersy, Matthew D. Schwartz, Alexander Zhiboedov:
Reconstructing S-matrix Phases with Machine Learning. CoRR abs/2308.09451 (2023) - 2022
- [i2]Aurélien Dersy, Matthew D. Schwartz, Xiaoyuan Zhang:
Simplifying Polylogarithms with Machine Learning. CoRR abs/2206.04115 (2022) - 2021
- [i1]Katherine Fraser, Samuel Homiller, Rashmish K. Mishra, Bryan Ostdiek, Matthew D. Schwartz:
Challenges for Unsupervised Anomaly Detection in Particle Physics. CoRR abs/2110.06948 (2021)
Coauthor Index
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