Ugo Tanielian

According to our database, Ugo Tanielian authored at least 20 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

EdiBERT: a generative model for image editing.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

Trans. Mach. Learn. Res., 2023

3DGEN: A GAN-based approach for generating novel 3D models from image data.

Antoine Schnepf, Flavian Vasile, Ugo Tanielian

CoRR, 2023

AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting.

Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian

CoRR, 2023

Unveiling the Latent Space Geometry of Push-Forward Generative Models.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

Proceedings of the International Conference on Machine Learning, 2023

2022

Optimal precision for GANs.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

CoRR, 2022

Optimal 1-Wasserstein Distance for WGANs.

Arthur Stéphanovitch, Ugo Tanielian, Benoît Cadre, Nicolas Klutchnikoff, Gérard Biau

CoRR, 2022

Lessons from the AdKDD'21 Privacy-Preserving ML Challenge.

Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Latent reweighting, an almost free improvement for GANs.

Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Some Theoretical Insights into Wasserstein GANs.

Gérard Biau, Maxime Sangnier, Ugo Tanielian

J. Mach. Learn. Res., 2021

Approximating Lipschitz continuous functions with GroupSort neural networks.

Ugo Tanielian, Gérard Biau

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Wasserstein Learning of Determinantal Point Processes.

Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes

CoRR, 2020

Approximating Lipschitz continuous functions with GroupSort neural networks.

Ugo Tanielian, Maxime Sangnier, Gérard Biau

CoRR, 2020

Learning disconnected manifolds: a no GANs land.

Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary

CoRR, 2020

Learning disconnected manifolds: a no GAN's land.

Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary

Proceedings of the 37th International Conference on Machine Learning, 2020

Distributionally Robust Counterfactual Risk Minimization.

Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Relaxed Softmax for learning from Positive and Unlabeled data.

Ugo Tanielian, Flavian Vasile

CoRR, 2019

Relaxed softmax for PU learning.

Ugo Tanielian, Flavian Vasile

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

Adversarial Training of Word2Vec for Basket Completion.

Ugo Tanielian, Mike Gartrell, Flavian Vasile

CoRR, 2018

Some Theoretical Properties of GANs.

Gérard Biau, Benoît Cadre, Maxime Sangnier, Ugo Tanielian

CoRR, 2018

Siamese Cookie Embedding Networks for Cross-Device User Matching.

Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018