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2020 – today
- 2023
[j2]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
EdiBERT: a generative model for image editing. Trans. Mach. Learn. Res. 2023 (2023)- [c8]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
Unveiling the Latent Space Geometry of Push-Forward Generative Models. ICML 2023: 14422-14444 - [i16]Veronika Shilova, Ludovic Dos Santos, Flavian Vasile, Gaëtan Racic, Ugo Tanielian:
AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting. CoRR abs/2309.11507 (2023) - [i15]Antoine Schnepf, Flavian Vasile, Ugo Tanielian:
3DGEN: A GAN-based approach for generating novel 3D models from image data. CoRR abs/2312.08094 (2023) - 2022
- [c7]Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary:
Latent reweighting, an almost free improvement for GANs. WACV 2022: 3574-3583 - [c6]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: 2026-2035 - [i14]Arthur Stéphanovitch, Ugo Tanielian, Benoît Cadre, Nicolas Klutchnikoff, Gérard Biau:
Optimal 1-Wasserstein Distance for WGANs. CoRR abs/2201.02824 (2022) - [i13]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 abs/2201.13123 (2022) - [i12]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
Optimal precision for GANs. CoRR abs/2207.10541 (2022) - 2021
- [j1]Gérard Biau, Maxime Sangnier, Ugo Tanielian:
Some Theoretical Insights into Wasserstein GANs. J. Mach. Learn. Res. 22: 119:1-119:45 (2021) - [c5]Ugo Tanielian, Gérard Biau:
Approximating Lipschitz continuous functions with GroupSort neural networks. AISTATS 2021: 442-450 - [i11]Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary:
Latent reweighting, an almost free improvement for GANs. CoRR abs/2110.09803 (2021) - [i10]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
EdiBERT, a generative model for image editing. CoRR abs/2111.15264 (2021) - 2020
- [c4]Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile:
Distributionally Robust Counterfactual Risk Minimization. AAAI 2020: 3850-3857 - [c3]Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary:
Learning disconnected manifolds: a no GAN's land. ICML 2020: 9418-9427 - [i9]Gérard Biau, Maxime Sangnier, Ugo Tanielian:
Some Theoretical Insights into Wasserstein GANs. CoRR abs/2006.02682 (2020) - [i8]Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary:
Learning disconnected manifolds: a no GANs land. CoRR abs/2006.04596 (2020) - [i7]Ugo Tanielian, Maxime Sangnier, Gérard Biau:
Approximating Lipschitz continuous functions with GroupSort neural networks. CoRR abs/2006.05254 (2020) - [i6]Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes:
Wasserstein Learning of Determinantal Point Processes. CoRR abs/2011.09712 (2020)
2010 – 2019
- 2019
- [c2]Ugo Tanielian, Flavian Vasile:
Relaxed softmax for PU learning. RecSys 2019: 119-127 - [i5]Louis Faury, Ugo Tanielian, Flavian Vasile, Elena Smirnova, Elvis Dohmatob:
Distributionally Robust Counterfactual Risk Minimization. CoRR abs/1906.06211 (2019) - [i4]Ugo Tanielian, Flavian Vasile:
Relaxed Softmax for learning from Positive and Unlabeled data. CoRR abs/1909.08079 (2019) - 2018
- [c1]Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile:
Siamese Cookie Embedding Networks for Cross-Device User Matching. WWW (Companion Volume) 2018: 85-86 - [i3]Gérard Biau, Benoît Cadre, Maxime Sangnier, Ugo Tanielian:
Some Theoretical Properties of GANs. CoRR abs/1803.07819 (2018) - [i2]Ugo Tanielian, Anne-Marie Tousch, Flavian Vasile:
Siamese Cookie Embedding Networks for Cross-Device User Matching. CoRR abs/1803.10450 (2018) - [i1]Ugo Tanielian, Mike Gartrell, Flavian Vasile:
Adversarial Training of Word2Vec for Basket Completion. CoRR abs/1805.08720 (2018)
Coauthor Index
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