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- ‘Extension and neural operator approximation of the electrical impedance tomography inverse map’ (2025), with N.B. Kovachki, M. Lassas and N.H. Nelsen
View 
- ‘Transformers through the lens of support-preserving maps between measures’ (2025), with T. Furuya and M. Lassas View

- ‘The head wave transform’ (2025), with A. Kykkänen and R.K. Mishra View

- ‘An inverse Signorini obstacle problem’ (2025), with M. Lassas, J. Lu, L. Oksanen, Z. Zhao View

- ‘Neural equilibria for long-term prediction of nonlinear conservation laws’ (2025), with J.A. Lara Benitez, J. Guo, K. Hegazy, I. Dokmanić and M.W. Mahoney View

- ‘Weyl formulae for some singular metrics with application to acoustic modes in gas giants’ (2024), with Y. Colin de Verdìère, C. Dietze and E. Trélat View

- ‘Taming score-based diffusion priors for infinite-dimensional nonlinear inverse problems’ (2024), with L. Baldassari, A. Siahkoohi, J. Garnier and K. Sølna View

- ‘SeisLM: A foundation model for seismic data’ (2024), with T. Liu, J. Münchmeyer, L. Laurenti, C. Marone and I. Dokmanić View

- ‘Mixture of experts softens the curse of dimensionality in operator learning’ (2024), with A. Kratsios, T. Furuya, J.A. Lara Benitez and M. Lassas View

- ‘Acoustic geometry of gas giants and a ray transform’ (2024), with J. Ilmavirta, A. Kykkänen and R. Mazzeo View

- ‘High-rate phase association with travel-time neural fields’ (2023), with C. Shi and I. Dokmanić View

- ‘Reconstruction of generic anisotropic stiffness tensors from partial data around one polarization’ (2023), with J. Ilmavirta, M. Lassas and A Várilly-Alvarado View

- ‘An approximation theory for metric space-valued functions with a view towards deep learning’ (2023), with A. Kratsios, C. Liu, M. Lassas, and I. Dokmanić View

- ‘Deep invertible approximation of topologically rich maps between manifolds’ (2022), with M. Puthawala, M. Lassas, I. Dokmanić and P. Pankka View
