Inigo V. Slijepcevic

According to our database, Inigo V. Slijepcevic authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Scaling Laws for Galaxy Images.

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, Josh Speagle, Hugh Dickinson, Lucy Fortson, Tobias Géron, Sandor Kruk, Chris J. Lintott, Kameswara Bharadwaj Mantha, Devina Mohan, David O'Ryan, Inigo V. Slijepcevic

CoRR, 2024

2023

Zoobot: Adaptable Deep Learning Models for Galaxy Morphology.

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

J. Open Source Softw., July, 2023

2022

A New Task: Deriving Semantic Class Targets for the Physical Sciences.

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

CoRR, 2022

Towards Galaxy Foundation Models with Hybrid Contrastive Learning.

Mike Walmsley, Inigo Val Slijepcevic, Micah Bowles, Anna M. M. Scaife

CoRR, 2022

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

Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley, Micah Bowles, Ivy Wong, Stanislav S. Shabala, Hongming Tang

CoRR, 2022

2021

Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?

Inigo V. Slijepcevic, Anna M. M. Scaife

CoRR, 2021