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Creators/Authors contains: "Dagan, Yuval"

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  1. ; ; ; ; (, Advances in neural information processing systems)
    Free, publicly-accessible full text available December 15, 2025
  2. ; ; ; (, STOC 2024)
    Accepted Manuscript Full Text Available
  3. ; ; ; (, NeurIPS 2023)
    Accepted Manuscript Full Text Available
  4. ; ; ; ; ; (, NeurIPS 2023)
    Accepted Manuscript Full Text Available
  5. ; ; ; (, COLT 2023)
    Accepted Manuscript Full Text Available
  6. ; ; ; (, ACM)
    Full Text Available 
  7. ; ; ; ; (, COLT 2023)
    Accepted Manuscript Full Text Available
  8. ; ; ; ; ; (, Advances in neural information processing systems)
    Accepted Manuscript Full Text Available
  9. ; ; ; (, Proceedings of the 39th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022.)
    We prove fast mixing and characterize the sta- tionary distribution of the Langevin Algorithm for inverting random weighted DNN generators. This result extends the work of Hand and Voroninski from efficient inversion to efficient posterior sampling. In practice, to allow for increased ex- pressivity, we propose to do posterior sampling in the latent space of a pre-trained generative model. To achieve that, we train a score-based model in the latent space of a StyleGAN-2 and we use it to solve inverse problems. Our framework, Score-Guided Intermediate Layer Optimization (SGILO), extends prior work by replacing the sparsity regularization with a generative prior in the intermediate layer. Experimentally, we obtain sig- nificant improvements over the previous state-of- the-art, especially in the low measurement regime. 
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    Accepted Manuscript Full Text Available
  10. ; ; ; ; (, Proceedings of the 39th International Conference on Machine Learning (ICML))
    Accepted Manuscript Full Text Available