Ugo Tanielian

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 27

Top Topics

Adobe Photoshop

Generative Model

Top Venues

Publications

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
EdiBERT: a generative model for image editing. Trans. Mach. Learn. Res. 2023 (2023)
Antoine Schnepf, Flavian Vasile, Ugo Tanielian
3DGEN: A GAN-based approach for generating novel 3D models from image data. CoRR (2023)
Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
Unveiling the Latent Space Geometry of Push-Forward Generative Models. ICML (2023)
Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian
AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting. CoRR (2023)
Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary
Latent reweighting, an almost free improvement for GANs. WACV (2022)
Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
Optimal precision for GANs. CoRR (2022)
Arthur Stéphanovitch, Ugo Tanielian, Benoît Cadre, Nicolas Klutchnikoff, Gérard Biau
Optimal 1-Wasserstein Distance for WGANs. CoRR (2022)
Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. WWW (2022)
Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. CoRR (2022)
Jules Samaran, Ugo Tanielian, Romain Beaumont, Flavian Vasile
What Users Want? WARHOL: A Generative Model for Recommendation. CoRR (2021)
Ugo Tanielian, Gérard Biau
Approximating Lipschitz continuous functions with GroupSort neural networks. AISTATS (2021)
Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard
EdiBERT, a generative model for image editing. CoRR (2021)
Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary
Latent reweighting, an almost free improvement for GANs. CoRR (2021)
Gérard Biau, Maxime Sangnier, Ugo Tanielian
Some Theoretical Insights into Wasserstein GANs. J. Mach. Learn. Res. 22 (2021)
Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile
Distributionally Robust Counterfactual Risk Minimization. AAAI (2020)
Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes
Wasserstein Learning of Determinantal Point Processes. CoRR (2020)
Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary
Learning disconnected manifolds: a no GANs land. CoRR (2020)
Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary
Learning disconnected manifolds: a no GAN's land. ICML (2020)
Gérard Biau, Maxime Sangnier, Ugo Tanielian
Some Theoretical Insights into Wasserstein GANs. CoRR (2020)
Ugo Tanielian, Maxime Sangnier, Gérard Biau
Approximating Lipschitz continuous functions with GroupSort neural networks. CoRR (2020)
Louis Faury, Ugo Tanielian, Flavian Vasile, Elena Smirnova, Elvis Dohmatob
Distributionally Robust Counterfactual Risk Minimization. CoRR (2019)
Ugo Tanielian, Flavian Vasile
Relaxed softmax for PU learning. RecSys (2019)
Ugo Tanielian, Flavian Vasile
Relaxed Softmax for learning from Positive and Unlabeled data. CoRR (2019)
Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile
Siamese Cookie Embedding Networks for Cross-Device User Matching. CoRR (2018)
Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile
Siamese Cookie Embedding Networks for Cross-Device User Matching. WWW (Companion Volume) (2018)
Ugo Tanielian, Mike Gartrell, Flavian Vasile
Adversarial Training of Word2Vec for Basket Completion. CoRR (2018)
Gérard Biau, Benoît Cadre, Maxime Sangnier, Ugo Tanielian
Some Theoretical Properties of GANs. CoRR (2018)