Siamese Cookie Embedding Networks for Cross-Device User Matching. - Ugo Tanielian; Anne-Marie Tousch; Flavian Vasile (WWW (Companion Volume), 2018)

Some Theoretical Properties of GANs. - Gérard Biau; Benoît Cadre; Maxime Sangnier; Ugo Tanielian (CoRR, 2018)

Adversarial Training of Word2Vec for Basket Completion. - Ugo Tanielian; Mike Gartrell; Flavian Vasile (CoRR, 2018)

Relaxed softmax for PU learning. - Ugo Tanielian; Flavian Vasile (RecSys, 2019)

Relaxed Softmax for learning from Positive and Unlabeled data. - Ugo Tanielian; Flavian Vasile (CoRR, 2019)

Distributionally Robust Counterfactual Risk Minimization. - Louis Faury; Ugo Tanielian; Elvis Dohmatob; Elena Smirnova; Flavian Vasile (AAAI, 2020)

Learning disconnected manifolds: a no GAN's land. - Ugo Tanielian; Thibaut Issenhuth; Elvis Dohmatob; Jérémie Mary (ICML, 2020)

Learning disconnected manifolds: a no GANs land. - Ugo Tanielian; Thibaut Issenhuth; Elvis Dohmatob; Jérémie Mary (CoRR, 2020)

Approximating Lipschitz continuous functions with GroupSort neural networks. - Ugo Tanielian; Maxime Sangnier; Gérard Biau (CoRR, 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; Gérard Biau (AISTATS, 2021)

Some Theoretical Insights into Wasserstein GANs. - Gérard Biau; Maxime Sangnier; Ugo Tanielian (J. Mach. Learn. Res., 2021)

Latent reweighting, an almost free improvement for GANs. - Thibaut Issenhuth; Ugo Tanielian; David Picard; Jérémie Mary (WACV, 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 (WWW, 2022)

Optimal 1-Wasserstein Distance for WGANs. - Arthur Stéphanovitch; Ugo Tanielian; Benoît Cadre; Nicolas Klutchnikoff; Gérard Biau (CoRR, 2022)

Optimal precision for GANs. - Thibaut Issenhuth; Ugo Tanielian; Jérémie Mary; David Picard (CoRR, 2022)

Unveiling the Latent Space Geometry of Push-Forward Generative Models. - Thibaut Issenhuth; Ugo Tanielian; Jérémie Mary; David Picard (ICML, 2023)

AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting. - Veronika Shilova; Ludovic Dos Santos; Flavian Vasile; Gaëtan Racic; Ugo Tanielian (CoRR, 2023)

3DGEN: A GAN-based approach for generating novel 3D models from image data. - Antoine Schnepf; Flavian Vasile; Ugo Tanielian (CoRR, 2023)

EdiBERT: a generative model for image editing. - Thibaut Issenhuth; Ugo Tanielian; Jérémie Mary; David Picard (Trans. Mach. Learn. Res., 2023)