Inigo Val Slijepcevic

Zoobot: Adaptable Deep Learning Models for GalaxyMorphology

Mike Walmsley, Campbell Allen, Ben Aussel et al. · The Journal of Open Source Software · 2023 · 35 citations · Full text

Natural Sciences, Astronomy, Computer Science +11

Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift

Inigo Val Slijepcevic, Anna M. M. Scaife, Mike Walmsley et al. · arXiv (Cornell University) · 2022 · 33 citations · Full text

Computing, Astronomy, Computer Science +17

Radio galaxy zoo: towards building the first multipurpose foundation model for radio astronomy with self-supervised learning

Inigo Val Slijepcevic, Anna M. M. Scaife, Mike Walmsley et al. · RAS Techniques and Instruments · 2023 · 24 citations · Full text

Computing, Astronomy, Computer Science +17

Towards Galaxy Foundation Models with Hybrid Contrastive Learning

Mike Walmsley, Inigo Val Slijepcevic, Micah Bowles et al. · arXiv (Cornell University) · 2022 · 14 citations · Full text

Computing, Astronomy, Computer Science +14

Radio galaxy zoo EMU: towards a semantic radio galaxy morphology taxonomy

Micah Bowles, Hongming Tang, E. Vardoulaki et al. · Monthly Notices of the Royal Astronomical Society · 2023 · 10 citations · Full text

Life Sciences, Astronomy, Computer Science +16