Ugo Tanielian - RankMe

26 papers A* 4A 3Journal 18Unranked 1

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