Ibrahim Ahmad Almosallam
Affiliations: | University of Oxford, Oxford, United Kingdom |
Area:
Machine LearningGoogle:
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Publications
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| Hatfield P, Rose S, Scott R, et al. (2020) Using Sparse Gaussian Processes for Predicting Robust Inertial Confinement Fusion Implosion Yields Ieee Transactions On Plasma Science. 48: 14-21 |
| Schmidt SJ, Malz AI, Soo JYH, et al. (2020) Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST) Monthly Notices of the Royal Astronomical Society |
| Gomes Z, Jarvis MJ, Almosallam IA, et al. (2018) Improving photometric redshift estimation using GPz: size information, post processing and improved photometry Monthly Notices of the Royal Astronomical Society. 475: 331-342 |
| Almosallam IA, Jarvis MJ, Roberts SJ. (2016) GPZ: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts Monthly Notices of the Royal Astronomical Society. 462: 726-739 |
| Almosallam IA, Lindsay SN, Jarvis MJ, et al. (2016) A sparse Gaussian process framework for photometric redshift estimation Monthly Notices of the Royal Astronomical Society. 455: 2387-2401 |