Feature-preserving interpolation and filtering of environmental time series. - Grégoire Mariéthoz; Niklas Linde; Damien Jougnot; Hassan Rezaee (Environ. Model. Softw., 2015)

Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network. - Eric Laloy; Romain Hérault; Diederik Jacques; Niklas Linde (CoRR, 2017)

Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible? - Eric Laloy; Niklas Linde; Cyprien Ruffino; Romain Hérault; Gilles Gasso; Diederik Jacques (Comput. Geosci., 2019)

Fast ABC with Joint Generative Modelling and Subset Simulation. - Eliane Maalouf; David Ginsbourger; Niklas Linde (LOD, 2021)

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)

Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors. - Cédric Travelletti; David Ginsbourger; Niklas Linde (SIAM/ASA J. Uncertain. Quantification, 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)

An Energy-Based Model Approach to Rare Event Probability Estimation. - Lea Friedli; David Ginsbourger; Arnaud Doucet; Niklas Linde (SIAM/ASA J. Uncertain. Quantification, 2025)

Diffusion models for multivariate subsurface generation and efficient probabilistic inversion. - Roberto Miele; Niklas Linde (CoRR, 2025)