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Gemma J. Anderson
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Year
The data-driven future of high-energy-density physics
PW Hatfield, JA Gaffney, GJ Anderson, S Ali, L Antonelli, ...
Nature 593 (7859), 351-361, 2021
812021
Machine learning predictions of a multiresolution climate model ensemble
GJ Anderson, DD Lucas
Geophysical Research Letters 45 (9), 4273-4280, 2018
502018
Transfer learning as a tool for reducing simulation bias: application to inertial confinement fusion
B Kustowski, JA Gaffney, BK Spears, GJ Anderson, JJ Thiagarajan, ...
IEEE Transactions on Plasma Science 48 (1), 46-53, 2019
342019
Transport equations for the inflationary trispectrum
GJ Anderson, DJ Mulryne, D Seery
Journal of Cosmology and Astroparticle Physics 2012 (10), 019, 2012
322012
Learning to correct climate projection biases
B Pan, GJ Anderson, A Goncalves, DD Lucas, CJW Bonfils, J Lee, Y Tian, ...
Journal of Advances in Modeling Earth Systems 13 (10), e2021MS002509, 2021
302021
Competing influences of anthropogenic warming, ENSO, and plant physiology on future terrestrial aridity
C Bonfils, G Anderson, BD Santer, TJ Phillips, KE Taylor, M Cuntz, ...
Journal of Climate 30 (17), 6883-6904, 2017
272017
Designing accurate emulators for scientific processes using calibration-driven deep models
JJ Thiagarajan, B Venkatesh, R Anirudh, PT Bremer, J Gaffney, ...
Nature Communications 11 (1), 5622, 2020
262020
Improving Seasonal Forecast Using Probabilistic Deep Learning
B Pan, GJ Anderson, A Goncalves, DD Lucas, CJW Bonfils, J Lee
Journal of Advances in Modeling Earth Systems 14 (3), 20, 2022
222022
Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations
GJ Anderson, JA Gaffney, BK Spears, PT Bremer, R Anirudh, ...
arXiv preprint arXiv:2010.13749, 2020
142020
A review of recent and emerging machine learning applications for climate variability and weather phenomena
MJ Molina, TA O’Brien, G Anderson, M Ashfaq, KE Bennett, WD Collins, ...
Artificial Intelligence for the Earth Systems 2 (4), 220086, 2023
132023
Suppressing simulation bias in multi-modal data using transfer learning
B Kustowski, JA Gaffney, BK Spears, GJ Anderson, R Anirudh, PT Bremer, ...
Machine Learning: Science and Technology 3 (1), 015035, 2022
112022
Alpha heating of indirect-drive layered implosions on the National Ignition Facility
KL Baker, S MacLaren, O Jones, BK Spears, PK Patel, R Nora, L Divol, ...
Physical Review E 107 (1), 015202, 2023
62023
Constraining Galileon Inflation
D Regan, GJ Anderson, M Hull, D Seery
Journal of Cosmology and Astroparticle Physics 2015 (02), 015, 2015
62015
Hydroscaling indirect-drive implosions on the National Ignition Facility
KL Baker, O Jones, C Weber, D Clark, PK Patel, CA Thomas, OL Landen, ...
Physics of Plasmas 29 (6), 2022
42022
Uncertainty Analysis of Simulations of the Turn‐of‐the‐Century Drought in the Western United States
GJ Anderson, DD Lucas, C Bonfils
Journal of Geophysical Research: Atmospheres 123 (23), 13,219-13,237, 2018
42018
Optimal bispectrum constraints on single-field models of inflation
GJ Anderson, D Regan, D Seery
Journal of Cosmology and Astroparticle Physics 2014 (07), 017, 2014
42014
Identifying and correcting climate projection biases using artificial intelligence
B Pan, GJ Anderson, DD Lucas, A Goncalves, C Bonfils, J Lee, Y Tian
AGU Fall Meeting Abstracts 2020, GC113-0007, 2020
32020
Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data
B Kustowski, JA Gaffney, BK Spears, GJ Anderson, R Anirudh, PT Bremer, ...
IEEE Transactions on Neural Networks and Learning Systems, 2021
22021
Quantifying uncertainties in predictive models of inertial confinement fusion
G Anderson, J Gaffney
Bulletin of the American Physical Society 63, 2018
22018
Transfer learning for the calibration of the inertial confinement fusion simulations
B Kustowski, J Gaffney, B Spears, G Anderson, J Jayaraman Thiagarajan, ...
APS Division of Plasma Physics Meeting Abstracts 2018, BM10. 008, 2018
12018
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