Jirko Rubruck

I am a PhD student at the University of Oxford supervised by Prof. Chris Summerfield and by Prof. Andrew Saxe. My PhD is funded by the GUDTP. I am primarily interested in the comparison of learning between humans and artificial agents. I use tools from machine learning, cognitive (neuro)science, and psychology. Most recently I have been interested in simplicity biases in biological and artificial learners as well as in concept learning.

Before starting my PhD I did a M.Sc. in psychological research (graduated ranked 1st, fully funded) at the University of Oxford also under the supervision of Prof. Chris Summerfield and Prof. Andrew Saxe. Before that I did my undergraduate at the University of Aberdeen. For more details, check my CV or hit me up on my email.

Early learning of the optimal constant solution in neural networks and humans
Jirko Rubruck, Jan Bauer, Andrew Saxe, Christopher Summerfield
Preprint'24
pdf| abstract|

Learning Dynamics of Semantic Knowledge in Humans and Neural Networks
Jirko Rubruck, Andrew Saxe, Christopher Summerfield CCN 2023 | Conference on Cognitive Computational Neuroscience
pdf| abstract|

Characterizing the in-out Asymmetry in Visual Crowding
Ramakrishna Chakravarthi, Jirko Rubruck, Nikki Kipling, Alasdair DF Clarke
JoV | Journal of Vision
article

New Gambling Task Reveals an Atypical Relation between Social Anxiety and Social avoidance in Schizophrenia
Ana Muthesius, Susanne Hölzer, Anna Farina Grothey, Jirko Rubruck, Kai Vogeley, Johannes Schultz
Schizophrenia Bulletin Open
article