Davide Zoccolan — accepted AI-conference papers

2026

Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance

Lorenzo Tausani, Paolo Muratore, Morgan Bruce Talbot, Giacomo Amerio, Gabriel Kreiman, Davide Zoccolan

ICLR 2026poster

Uncovering which feature combinations are encoded by visual units is critical to understanding how images are transformed into representations that support recognition. While existing feature visualization approaches typically infer a unit's most exciting images, this is insufficient to reveal the m…

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2022

Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks

Paolo Muratore, Sina Tafazoli, Eugenio Piasini, Alessandro Laio, Davide Zoccolan

NeurIPS 2022accept

Visual object recognition has been extensively studied in both neuroscience and computer vision. Recently, the most popular class of artificial systems for this task, deep convolutional neural networks (CNNs), has been shown to provide excellent models for its functional analogue in the brain, the v…

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2019

Intrinsic dimension of data representations in deep neural networks

Alessio Ansuini, Alessandro Laio, Jakob H Macke, Davide Zoccolan

NeurIPS 2019poster

Deep neural networks progressively transform their inputs across multiple processing layers. What are the geometrical properties of the representations learned by these networks? Here we study the intrinsic dimensionality (ID) of data representations, i.e. the minimal number of parameters needed to…

Cited by 338 Source ↗PDF ↗code ↗Scholar ↗