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Lore Goetschalckx

3 accepted papers

2023

Computing a human-like reaction time metric from stable recurrent vision models

NeurIPS 2023spotlight

The meteoric rise in the adoption of deep neural networks as computational models of vision has inspired efforts to ``align” these models with humans. One dimension of interest for alignment includes behavioral choices, but moving beyond characterizing choice patterns to capturing temporal aspects o…

2023

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization

NeurIPS 2023poster

Feature visualization has gained significant popularity as an explainability method, particularly after the influential work by Olah et al. in 2017. Despite its success, its widespread adoption has been limited due to issues in scaling to deeper neural networks and the reliance on tricks to generate…

Cited by 19SourcePDFScholar
2019

GANalyze: Toward Visual Definitions of Cognitive Image Properties

ICCV 2019poster

We introduce a framework that uses Generative Adversarial Networks (GANs) to study cognitive properties like memorability. These attributes are of interest because we do not have a concrete visual definition of what they entail. What does it look like for a dog to be more memorable? GANs allow us to…

Cited by 386PDFcodeScholar