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ORCIDInigo V. Slijepcevic
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2020 – today
- 2024
[i5]Mike Walmsley, Micah Bowles, Anna M. M. Scaife, Jason Shingirai Makechemu, Alexander J. Gordon, Annette M. N. Ferguson, Robert G. Mann, James Pearson, Jürgen J. Popp, Jo Bovy, Joshua S. Speagle, Hugh Dickinson, Lucy Fortson, Tobias Géron, Sandor Kruk, Chris J. Lintott, Kameswara Bharadwaj Mantha, Devina Mohan, David O'Ryan, Inigo V. Slijepcevic:
Scaling Laws for Galaxy Images. CoRR abs/2404.02973 (2024)- 2023
- [j1]Mike Walmsley
, Campbell Allen, Ben Aussel, Micah Bowles, Kasia Gregorowicz, Inigo Val Slijepcevic, Chris J. Lintott, Anna M. M. Scaife, Maja Jablonska, Kosio Karchev, Denise Lanzieri, Devina Mohan, David O'Ryan, Bharath Saiguhan, Crisel Suárez, Nicolás Guerra-Varas, Renuka Velu:
Zoobot: Adaptable Deep Learning Models for Galaxy Morphology. J. Open Source Softw. 8(87): 5312 (2023) - 2022
- [i4]Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley, Micah Bowles, Ivy Wong, Stanislav S. Shabala, Hongming Tang:
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift. CoRR abs/2204.08816 (2022) - [i3]Mike Walmsley, Inigo Val Slijepcevic, Micah Bowles, Anna M. M. Scaife:
Towards Galaxy Foundation Models with Hybrid Contrastive Learning. CoRR abs/2206.11927 (2022) - [i2]Micah Bowles, Hongming Tang, Eleni Vardoulaki, Emma L. Alexander, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna M. M. Scaife, Inigo Val Slijepcevic, Gary Segal:
A New Task: Deriving Semantic Class Targets for the Physical Sciences. CoRR abs/2210.14760 (2022) - 2021
- [i1]Inigo V. Slijepcevic, Anna M. M. Scaife:
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification? CoRR abs/2111.04357 (2021)
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