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The DESI experiment part I: science, targeting, and survey design
A Aghamousa, J Aguilar, S Ahlen, S Alam, LE Allen, CA Prieto, J Annis, ...
arXiv preprint arXiv:1611.00036, 2016
4192016
The DESI experiment Part I: science, targeting, and survey design
D Collaboration, A Aghamousa, J Aguilar, S Ahlen, S Alam, L Allen, ...
2212016
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning
EEO Ishida, R Beck, S González-Gaitán, RS de Souza, A Krone-Martins, ...
Monthly Notices of the Royal Astronomical Society 483 (1), 2-18, 2019
762019
The DESI experiment part II: instrument design
A Aghamousa, J Aguilar, S Ahlen, S Alam, LE Allen, CA Prieto, J Annis, ...
arXiv preprint arXiv:1611.00037, 2016
67*2016
Empirical Study of MC-Dropout in Various Astronomical Observing Conditions.
N Kennamer, A Ihler, D Kirkby
CVPR workshops, 17-20, 2019
72019
ContextNet: Deep learning for star galaxy classification
N Kennamer, D Kirkby, A Ihler, FJ Sanchez-Lopez
International conference on machine learning, 2582-2590, 2018
72018
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
N Kennamer, EEO Ishida, S González-Gaitán, RS de Souza, A Ihler, ...
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 3115-3124, 2020
62020
Design amortization for Bayesian optimal experimental design
N Kennamer, S Walton, A Ihler
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8220-8227, 2023
22023
How have astronomers cited other fields in the last decade?
MD Veneri, RS de Souza, A Krone-Martins, EEO Ishida, MLL Dantas, ...
Research Notes of the AAS 6 (6), 113, 2022
22022
Are classification metrics good proxies for SN Ia cosmological constraining power?
AI Malz, M Dai, KA Ponder, EEO Ishida, S Gonzalez-Gaitain, R Durgesh, ...
arXiv preprint arXiv:2305.14421, 2023
2023
Variational Methods for Optimal Experimental Design
NW Kennamer
University of California, Irvine, 2022
2022
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