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09/14/2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach
This paper addresses the challenge of generating Counterfactual Explanat...
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03/17/2023
On the De-duplication of LAION-2B
Generative models, such as DALL-E, Midjourney, and Stable Diffusion, hav...
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03/17/2023
Adversarial Counterfactual Visual Explanations
Counterfactual explanations and adversarial attacks have a related goal:...
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03/29/2022
Diffusion Models for Counterfactual Explanations
Counterfactual explanations have shown promising results as a post-hoc f...
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09/16/2021
On the inductive biases of deep domain adaptation
Domain alignment is currently the most prevalent solution to unsupervise...
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08/02/2021
Training face verification models from generated face identity data
Machine learning tools are becoming increasingly powerful and widely use...
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07/13/2021
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces
Recently, generative adversarial networks (GANs) have achieved stunning ...
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06/21/2020
Equivalence of several curves assessing the similarity between probability distributions
The recent advent of powerful generative models has triggered the renewe...
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08/20/2019
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error
As deep learning applications are becoming more and more pervasive in ro...
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05/14/2019
Revisiting Precision and Recall Definition for Generative Model Evaluation
In this article we revisit the definition of Precision-Recall (PR) curve...
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01/09/2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery
State of the art deep generative networks are capable of producing image...
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06/08/2018
Deep multi-scale architectures for monocular depth estimation
This paper aims at understanding the role of multi-scale information in ...
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02/08/2017