Gemma J. Anderson

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 4

Top Topics

Transfer Learning

Top Venues

Mach. Learn. Sci. Technol.

Publications

Bogdan Kustowski, Jim A. Gaffney, Brian K. Spears, Gemma J. Anderson, Rushil Anirudh, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Michael K. G. Kruse, Ryan Nora
Suppressing simulation bias in multi-modal data using transfer learning. Mach. Learn. Sci. Technol. 3 (1) (2022)
Bogdan Kustowski, Jim A. Gaffney, Brian K. Spears, Gemma J. Anderson, Rushil Anirudh, Peer-Timo Bremer, Jayaraman J. Thiagarajan
Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data. CoRR (2021)
Peter W. Hatfield, Jim A. Gaffney, Gemma J. Anderson, Suzanne Ali, Luca Antonelli, Suzan Basegmez du Pree, Jonathan Citrin, Marta Fajardo, Patrick F. Knapp, Brendan Kettle, Bogdan Kustowski, Michael J. MacDonald, Derek Mariscal, Madison E. Martin, Taisuke Nagayama, Charlotte A. J. Palmer, J. Luc Peterson, Steven J. Rose, J. J. Ruby, Carl Shneider, Matt J. V. Streeter, Will Trickey, Ben Williams
The data-driven future of high-energy-density physics. Nat. 593 (7859) (2021)
Gemma J. Anderson, Jim A. Gaffney, Brian K. Spears, Peer-Timo Bremer, Rushil Anirudh, Jayaraman J. Thiagarajan
Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations. CoRR (2020)