Evan Peters

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 4

Top Topics

Bayesian Framework

Machine Learning

Top Venues

Trans. Mach. Learn. Res.

Publications

Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
Bandwidth Enables Generalization in Quantum Kernel Models. Trans. Mach. Learn. Res. 2023 (2023)
Evan Peters, Maria Schuld
Generalization despite overfitting in quantum machine learning models. Quantum 7 (2023)
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin
Bandwidth Enables Generalization in Quantum Kernel Models. CoRR (2022)
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni
TensorFlow Quantum: A Software Framework for Quantum Machine Learning. CoRR (2020)