Ugo Tanielian | DeepAI

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∙ 09/08/2023

AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting

In digital advertising, the selection of the optimal item (recommendatio...

0 Veronika Shilova, et al. ∙

∙ 07/21/2022

Optimal precision for GANs

When learning disconnected distributions, Generative adversarial network...

14 Thibaut Issenhuth, et al. ∙

∙ 01/31/2022

Lessons from the AdKDD'21 Privacy-Preserving ML Challenge

Designing data sharing mechanisms providing performance and strong priva...

0 Eustache Diemert, et al. ∙

∙ 01/08/2022

Optimal 1-Wasserstein Distance for WGANs

The mathematical forces at work behind Generative Adversarial Networks r...

0 Arthur Stéphanovitch, et al. ∙

∙ 11/30/2021

EdiBERT, a generative model for image editing

Advances in computer vision are pushing the limits of im-age manipulatio...

9 Thibaut Issenhuth, et al. ∙

∙ 10/19/2021

Latent reweighting, an almost free improvement for GANs

Standard formulations of GANs, where a continuous function deforms a con...

38 Thibaut Issenhuth, et al. ∙

∙ 09/02/2021

What Users Want? WARHOL: A Generative Model for Recommendation

Current recommendation approaches help online merchants predict, for eac...

0 Jules Samaran, et al. ∙

∙ 11/19/2020

Wasserstein Learning of Determinantal Point Processes

Determinantal point processes (DPPs) have received significant attention...

0 Lucas Anquetil, et al. ∙

∙ 06/09/2020

Approximating Lipschitz continuous functions with GroupSort neural networks

Recent advances in adversarial attacks and Wasserstein GANs have advocat...

0 Ugo Tanielian, et al. ∙

∙ 06/08/2020

Learning disconnected manifolds: a no GANs land

Typical architectures of Generative AdversarialNetworks make use of a un...

0 Ugo Tanielian, et al. ∙

∙ 06/04/2020

Some Theoretical Insights into Wasserstein GANs

Generative Adversarial Networks (GANs) have been successful in producing...

0 Gérard Biau, et al. ∙

∙ 09/17/2019

Relaxed Softmax for learning from Positive and Unlabeled data

In recent years, the softmax model and its fast approximations have beco...

39 Ugo Tanielian, et al. ∙

∙ 06/14/2019

Distributionally Robust Counterfactual Risk Minimization

This manuscript introduces the idea of using Distributionally Robust Opt...

0 Louis Faury, et al. ∙

∙ 05/22/2018

Adversarial Training of Word2Vec for Basket Completion

In recent years, the Word2Vec model trained with the Negative Sampling l...

0 Ugo Tanielian, et al. ∙

∙ 03/28/2018

Siamese Cookie Embedding Networks for Cross-Device User Matching

Over the last decade, the number of devices per person has increased sub...

0 Ugo Tanielian, et al. ∙

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