Efficient Bayesian travel-time tomography with geologically-complex priors using sensitivity-informed polynomial chaos expansion and deep generative networks. - Giovanni Angelo Meles; Macarena Amaya; Shiran Levy; Stefano Marelli; Niklas Linde (CoRR, 2023)

Variational Bayesian inference with complex geostatistical priors using inverse autoregressive flows. - Shiran Levy; Eric Laloy; Niklas Linde (Comput. Geosci., 2023)

Conditioning of multiple-point statistics simulations to indirect geophysical data. - Shiran Levy; Lea Friedli; Grégoire Mariéthoz; Niklas Linde (Comput. Geosci., 2024)

Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows. - Roberto Miele; Shiran Levy; Niklas Linde; Amilcar Soares 002; Leonardo Azevedo 002 (Comput. Geosci., 2024)