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Gemma J. Anderson
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Machine learning predictions of a multiresolution climate model ensemble
GJ Anderson, DD Lucas
Geophysical Research Letters 45 (9), 4273-4280, 2018
292018
Transport equations for the inflationary trispectrum
GJ Anderson, DJ Mulryne, D Seery
Journal of Cosmology and Astroparticle Physics 2012 (10), 019, 2012
292012
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
232021
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
222017
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
192019
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), 1-10, 2020
112020
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
82020
Constraining Galileon Inflation
D Regan, GJ Anderson, M Hull, D Seery
Journal of Cosmology and Astroparticle Physics 2015 (02), 015, 2015
52015
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
52014
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
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
22022
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
22021
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
22018
Quantifying uncertainties in predictive models of inertial confinement fusion
G Anderson, J Gaffney
Bulletin of the American Physical Society 63, 2018
22018
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
12022
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, ...
arXiv preprint arXiv:2104.09684, 2021
12021
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
Impacts of ENSO, global warming and vegetation on future droughts
C Bonfils, GJ Anderson, BD Santer, TJ Phillips, KE Taylor, M Cuntz, ...
AGU Fall Meeting Abstracts 2016, H23L-01, 2016
12016
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), 062705, 2022
2022
Deep Learning for Climate Science and Weather Prediction I Oral
DD Lucas, BL White, GJ Anderson, A Sebastian
AGU Fall Meeting 2021, 2021
2021
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Artigos 1–20