Niklas Linde

Orcid: 0000-0003-1613-353X

According to our database1, Niklas Linde authored at least 9 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Deep generative networks for multivariate fullstack seismic data inversion using inverse autoregressive flows.
Comput. Geosci., 2024

Conditioning of multiple-point statistics simulations to indirect geophysical data.
Comput. Geosci., 2024

2023
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors.
SIAM/ASA J. Uncertain. Quantification, March, 2023

Variational Bayesian inference with complex geostatistical priors using inverse autoregressive flows.
Comput. Geosci., February, 2023

Efficient Bayesian travel-time tomography with geologically-complex priors using sensitivity-informed polynomial chaos expansion and deep generative networks.
CoRR, 2023

2021
Fast ABC with Joint Generative Modelling and Subset Simulation.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2019
Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?
Comput. Geosci., 2019

2017
Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network.
CoRR, 2017

2015
Feature-preserving interpolation and filtering of environmental time series.
Environ. Model. Softw., 2015


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