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Adrien Christophe Doerig

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Adrien Christophe Doerig

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Why computational complexity may set impenetrable barriers for epistemic reductionism

Fixing the problems of deep neural networks will require better training data and learning algorithms

First-person experience cannot rescue causal structure theories from the unfolding argument

Global information processing in feedforward deep networks

How crowding challenges (feedforward) convolutional neural networks

A new empirical challenge for local theories of consciousness

Global and high-level effects in crowding cannot be predicted by either high-dimensional pooling or target cueing

Shrinking Bouma's window: How to model crowding in dense displays

Capsule networks as recurrent models of grouping and segmentation

Crowding and the Architecture of the Visual System