4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Diagnosing Catastrophe: Large parts of accuracy loss in continual learning can be accounted for by readout misalignment
Daniel Anthes, Sushrut Thorat, Peter König +1
Unlike primates, training artificial neural networks on changing data distributions leads to a rapid decrease in performance on old tasks. This phenomenon is commonly referred to a…
q-bio.NC2023★ 4 cited
End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions
Zejin Lu, Adrien Doerig, Victoria Bosch +4
Computational models are an essential tool for understanding the origin and functions of the topographic organisation of the primate visual system. Yet, vision is most commonly mod…
cs.CV2023
Characterising representation dynamics in recurrent neural networks for object recognition
Sushrut Thorat, Adrien Doerig, Tim C. Kietzmann
Recurrent neural networks (RNNs) have yielded promising results for both recognizing objects in challenging conditions and modeling aspects of primate vision. However, the represen…