Birs- 22w5118: New Ideas in Computational Inverse Problems

  1. Title:
    Side-effects of learning from submanifolds

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  2. Title:
    Coupling deep learning with computational inversion

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  3. Title:
    Wide-Band Butterfly Networks - Leveraging deep learning for solving the inverse scattering problem in quasi-linear complexity

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  4. Title:
    Waveform inversion via reduced order modeling

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  5. Title:
    Deterministic-Statistical Approach for Inverse problems with Partial Data

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  6. Title:
    Variable Projection Methods for Separable Nonlinear Inverse Problems

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  7. Title:
    Weak Form Approach to Identifying Differential Equation

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  8. Title:
    Inverse problems in machine learning where data exhibit low-dimensional structure

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  9. Title:
    Inverse random potential scattering for elastic waves

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  10. Title:
    Learning computational models using multiscale methods

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  11. Title:
    Inhomogeneous Regularization with limited and indirect data

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  12. Title:
    Phase and absorption contrast imaging using intensity measurements

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  13. Title:
    Use of extended source inversion for estimating the noise level in seismic data

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  14. Title:
    Differential Sampling Method in inverse scattering

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