Fields- Workshop on PDE Methods in Data Science and Machine Learning

  1. Title:
    Optimal Transport for Learning Chaotic Dynamics via Invariant Measures

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  2. Title:
    Convergence Theories for Kernel Based Dynamic Mode Decompositions

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  3. Title:
    Exact and approximate orbit representations of frames

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  4. Title:
    Consensus Based-Optimization

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  5. Title:
    Applied harmonic analysis, and frames for fractal IFS L2-feature spaces via Infinite products of projections

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  6. Title:
    PDE and related methods for Image Inpainting

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  7. Title:
    PDE based methods in image segmentation

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  8. Title:
    PDE-constrained inverse problems with applications to seeing around corners and environmental monitoring

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  9. Title:
    Efficient natural gradient method for large-scale optimization problems

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  10. Title:
    Learning Interaction laws in particle- and agent-based systems

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