Asymptotically Euclidean metrics without conjugate points on R^n are flat
Wave Propagation and Imaging in Random Media: From Gaussian to non-Gaussian statistics
The non-Abelian X-ray transform
Transmission Eigenvalues and Non-scattering in Euclidean and Hyperbolic Geometry
Noise in linear inverse problems
Reduced order models for spectral domain inversion: embedding into the continuous problem and generation of internal data
The inverse problem for the X-ray transform
New deep neural networks solving non-linear inverse problems
A nonlinear Plancherel Theorem with applications to global well-posedness for the defocusing Davey-Stewartson equation and to the Calderón inverse problem in dimension 2
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