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correction v2 seminar Ronan Sicre
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MatthieuGilson committed Mar 11, 2024
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title: '2024-03-21 : INT-CONECT seminar by Ronan Sicre'
subtitle: '"Implicit bias of gradient descent for wide two-layer neural networks trained with the logistic loss" (2020)'
subtitle: '"Visual interpretability: saliency maps and interpretable classification"'
summary: 'INT-CONECT seminar by Ronan Sicre (LIS, AMU)'
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* When: Thursday, March 21th ***12:30 to 13:30***
* Where: _salle Vinay_

During this INT/CONECT seminar, [Pr Ronan Sicre](https://pageperso.lis-lab.fr/~ronan.sicre/wordpress/) will present his recent work. TBA
During this INT/CONECT seminar, [Pr Ronan Sicre](https://pageperso.lis-lab.fr/~ronan.sicre/wordpress/) will present his recent work on "Visual interpretability: saliency maps and interpretable classification."

> Abstract : TBA
> Abstract : We will first review previous work on visual interpretability methods and particularly saliency-based methods. We will then present Opti-CAM, a CAM-based method that optimizes a masking objective per instance. The resulting saliency map highlights the important area of an image regarding the decision of a trained image classification network. Then, we will review some works around interpretable image classification using parts or prototype-based architectures.
{{% callout note %}}
Assistant professor at Ecole Centrale Marseille and research at team QARMA in LIS laboratory.
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