Search Results - Tanielian, Ugo

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  1. 1
    SOME THEORETICAL PROPERTIES OF GANS

    SOME THEORETICAL PROPERTIES OF GANS by Biau, Gérard, Cadre, Benoît, Sangnier, Maxime, Tanielian, Ugo

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  2. 2
    Some Theoretical Insights into Wasserstein GANs

    Some Theoretical Insights into Wasserstein GANs by Biau, Gérard, Sangnier, Maxime, Tanielian, Ugo

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  3. 3
    Latent reweighting, an almost free improvement for GANs

    Latent reweighting, an almost free improvement for GANs by Issenhuth, Thibaut, Tanielian, Ugo, Picard, David, Mary, Jeremie

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  4. 4
    Relaxed Softmax for learning from Positive and Unlabeled data

    Relaxed Softmax for learning from Positive and Unlabeled data by Tanielian, Ugo, Vasile, Flavian

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  5. 5
    Distributionally Robust Counterfactual Risk Minimization

    Distributionally Robust Counterfactual Risk Minimization by Faury, Louis, Tanielian, Ugo, Dohmatob, Elvis, Smirnova, Elena, Vasile, Flavian

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  6. 6
    3DGEN: A GAN-based approach for generating novel 3D models from image data

    3DGEN: A GAN-based approach for generating novel 3D models from image data by Schnepf, Antoine, Vasile, Flavian, Tanielian, Ugo

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  7. 7
    Siamese Cookie Embedding Networks for Cross-Device User Matching

    Siamese Cookie Embedding Networks for Cross-Device User Matching by Tanielian, Ugo, Tousch, Anne-Marie, Vasile, Flavian

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  8. 8
    Optimal 1-Wasserstein Distance for WGANs

    Optimal 1-Wasserstein Distance for WGANs by Stéphanovitch, Arthur, Tanielian, Ugo, Cadre, Benoît, Klutchnikoff, Nicolas, Biau, Gérard

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  9. 9
    Unveiling the Latent Space Geometry of Push-Forward Generative Models

    Unveiling the Latent Space Geometry of Push-Forward Generative Models by Issenhuth, Thibaut, Tanielian, Ugo, Jérémie, Mary, Picard, David

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  10. 10
    Some Theoretical Insights into Wasserstein GANs

    Some Theoretical Insights into Wasserstein GANs by Biau, Gérard, Sangnier, Maxime, Tanielian, Ugo

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  11. 11
    Approximating Lipschitz continuous functions with GroupSort neural networks

    Approximating Lipschitz continuous functions with GroupSort neural networks by Tanielian, Ugo, Sangnier, Maxime, Biau, Gerard

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  12. 12
    EdiBERT, a generative model for image editing

    EdiBERT, a generative model for image editing by Issenhuth, Thibaut, Tanielian, Ugo, Jérémie, Mary, Picard, David

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  13. 13
    AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting

    AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting by Shilova, Veronika, Ludovic Dos Santos, Vasile, Flavian, Racic, Gaëtan, Tanielian, Ugo

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  14. 14
    What Users Want? WARHOL: A Generative Model for Recommendation

    What Users Want? WARHOL: A Generative Model for Recommendation by Samaran, Jules, Tanielian, Ugo, Beaumont, Romain, Vasile, Flavian

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  15. 15
    Latent reweighting, an almost free improvement for GANs

    Latent reweighting, an almost free improvement for GANs by Issenhuth, Thibaut, Tanielian, Ugo, Picard, David, Jeremie, Mary

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  16. 16
    Learning disconnected manifolds: a no GANs land

    Learning disconnected manifolds: a no GANs land by Tanielian, Ugo, Issenhuth, Thibaut, Dohmatob, Elvis, Jeremie, Mary

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  17. 17
    Wasserstein Learning of Determinantal Point Processes

    Wasserstein Learning of Determinantal Point Processes by Lucas Anquetil, Gartrell, Mike, Rakotomamonjy, Alain, Tanielian, Ugo, Calauzènes, Clément

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  18. 18
    Adversarial Training of Word2Vec for Basket Completion

    Adversarial Training of Word2Vec for Basket Completion by Tanielian, Ugo, Gartrell, Mike, Vasile, Flavian

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  19. 19
    Distributionally Robust Counterfactual Risk Minimization

    Distributionally Robust Counterfactual Risk Minimization by Faury, Louis, Tanielian, Ugo, Vasile, Flavian, Smirnova, Elena, Dohmatob, Elvis

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  20. 20
    Lessons from the AdKDD'21 Privacy-Preserving ML Challenge

    Lessons from the AdKDD'21 Privacy-Preserving ML Challenge by Diemert, Eustache, Fabre, Romain, Gilotte, Alexandre, Jia, Fei, Basile Leparmentier, Jérémie, Mary, Qu, Zhonghua, Tanielian, Ugo, Yang, Hui

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