Continual task learning in natural and artificial agents. - Timo Flesch; Andrew M. Saxe; Christopher Summerfield (CoRR, 2022)

Out-of-sample scoring and automatic selection of causal estimators. - Egor Kraev; Timo Flesch; Hudson Taylor Lekunze; Mark Harley; Pere Planell Morell (CoRR, 2022)

Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. - Timo Flesch; David G. Nagy; Andrew M. Saxe; Christopher Summerfield (PLoS Comput. Biol., 2023)

Skewed Score: A statistical framework to assess autograders. - Magda Dubois; Harry Coppock; Mario Giulianelli; Timo Flesch; Lennart Luettgau; Cozmin Ududec (CoRR, 2025)