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Creators/Authors contains: "Bruna, Joan"

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  1. ; ; (, Neural Information Processing Systems)
    Accepted Manuscript Full Text Available
  2. ; ; (, Neural Information Processing Systems)
    Accepted Manuscript Full Text Available
  3. ; ; (, Machine Learning: Science and Technology)
    Abstract We propose a multiscale approach for predicting quantities in dynamical systems which is explicitly structured to extract information in both fine-to-coarse and coarse-to-fine directions. Our approach improves model accuracy and stability with minimally increased computation compared to non-multiscale approaches with analogous network architecture. We evaluate our approach on an idealized fluid subgrid parameterization (known as closure) task in which our multiscale networks correct chaotic underlying models to reflect the contributions of unresolved, fine-scale dynamics. 
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    Full Text Available 
  4. ; (, Statistical science)
    Accepted Manuscript Full Text Available
  5. ; ; (, International Conference on Machine Learning)
    Accepted Manuscript Full Text Available
  6. ; ; ; (, Conference on Learning Theory)
    Accepted Manuscript Full Text Available
  7. ; ; (, International Conference on Learning Representations)
    Accepted Manuscript Full Text Available
  8. ; (, Neural Information Processing Systems)
    Accepted Manuscript Full Text Available
  9. ; (, Neurips)
    Accepted Manuscript Full Text Available
  10. ; ; ; ; (, Neural Information Processing Systems)
    Accepted Manuscript Full Text Available