Niklas Linde

Niklas Linde

Université de Lausanne

H-index: 51

Europe-Switzerland

About Niklas Linde

Niklas Linde, With an exceptional h-index of 51 and a recent h-index of 31 (since 2020), a distinguished researcher at Université de Lausanne, specializes in the field of Hydrogeophysics, Near-Surface Geophysics, Inverse Theory, Hydrogeology, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Analyzing Groundwater Hazards with Sequential Monte Carlo

Rare event probability estimation for groundwater inverse problems with a two‐stage Sequential Monte Carlo approach

Multifidelity adaptive sequential Monte Carlo for geophysical inversion

Bayesian tomography using polynomial chaos expansion and deep generative networks

Solving geophysical inversion problems with intractable likelihoods: Linearized Gaussian approximations versus the correlated pseudo-marginal method

Conditioning of multiple-point statistics simulations to indirect geophysical data

Variational Bayesian inference with complex geostatistical priors using inverse autoregressive flows

Deep Generative Networks for Multivariate Fullstack Seismic Inversion with Using Inverse Autoregressive Flows

Niklas Linde Information

University

Position

Professor of Environmental Geophysics Institute of Earth Sciences

Citations(all)

6836

Citations(since 2020)

3467

Cited By

4706

hIndex(all)

51

hIndex(since 2020)

31

i10Index(all)

104

i10Index(since 2020)

95

Email

University Profile Page

Université de Lausanne

Google Scholar

View Google Scholar Profile

Niklas Linde Skills & Research Interests

Hydrogeophysics

Near-Surface Geophysics

Inverse Theory

Hydrogeology

Deep Learning

Top articles of Niklas Linde

Title

Journal

Author(s)

Publication Date

Analyzing Groundwater Hazards with Sequential Monte Carlo

Lea Friedli

Niklas Linde

2024/3/7

Rare event probability estimation for groundwater inverse problems with a two‐stage Sequential Monte Carlo approach

Water Resources Research

Lea Friedli

Niklas Linde

2024/2

Multifidelity adaptive sequential Monte Carlo for geophysical inversion

Geophysical Journal International

M Amaya

G Meles

S Marelli

N Linde

2024/1/27

Bayesian tomography using polynomial chaos expansion and deep generative networks

Geophysical Journal International

Giovanni Angelo Meles

Macarena Amaya

Shiran Levy

Stefano Marelli

Niklas Linde

2024/4

Solving geophysical inversion problems with intractable likelihoods: Linearized Gaussian approximations versus the correlated pseudo-marginal method

Mathematical Geosciences

Lea Friedli

Niklas Linde

2024/1

Conditioning of multiple-point statistics simulations to indirect geophysical data

Shiran Levy

Lea Friedli

Grégoire Mariéthoz

Niklas Linde

2024/3/26

Variational Bayesian inference with complex geostatistical priors using inverse autoregressive flows

Shiran Levy

Eric Laloy

Niklas Linde

2023/2/1

Deep Generative Networks for Multivariate Fullstack Seismic Inversion with Using Inverse Autoregressive Flows

R Miele

S Levy

N Linde

L Azevedo

2023/11/27

Water Table and Permeability Estimation from Multi‐Channel Seismoelectric Spectral Ratios

Journal of Geophysical Research: Solid Earth

Kaiyan Hu

Hengxin Ren

Qinghua Huang

Ling Zeng

Karl E Butler

...

2023/5

An energy-based model approach to rare event probability estimation

arXiv preprint arXiv:2310.04082

Lea Friedli

David Ginsbourger

Arnaud Doucet

Niklas Linde

2023/10/6

Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors

SIAM/ASA Journal on Uncertainty Quantification

Cédric Travelletti

David Ginsbourger

Niklas Linde

2023

Full-Waveform Inversion of Ground-Penetrating-Radar Data Using an Optimal-Transport Distance

Sajad Jazayeri

Sarah Kruse

2016/9/1

Electrical signatures of diffusion-limited mixing: insights from a milli-fluidic tracer experiment

Transport in Porous Media

Alejandro Fernandez Visentini

Pietro de Anna

Damien Jougnot

Tanguy Le Borgne

Yves Méheust

...

2023/1

Sequential multiple-point statistics simulations conditioned on arithmetic averages

Shiran Levy

Lea Friedli

Grégoire Mariéthoz

Niklas Linde

2023/2/22

Inference of geostatistical hyperparameters with the correlated pseudo-marginal method

Advances in Water Resources

Lea Friedli

Niklas Linde

David Ginsbourger

Alejandro Fernandez Visentini

Arnaud Doucet

2023

Advancing measurements and representations of subsurface heterogeneity and dynamic processes: towards 4D hydrogeology

Thomas Hermans

Pascal Goderniaux

Damien Jougnot

Jan Fleckenstein

Philip Brunner

...

2022/3/14

Hydrogeological multiple-point statistics inversion by adaptive sequential Monte Carlo

Advances in Water Resources

Macarena Amaya

Niklas Linde

Eric Laloy

2022/8/1

Heat transport by flow through rough rock fractures

EGU General Assembly Conference Abstracts

Maria Klepikova

Yves Méheust

Clément Roques

Niklas Linde

2022/5

Lithological tomography with the correlated pseudo-marginal method

Geophysical Journal International

Lea Friedli

Niklas Linde

David Ginsbourger

Arnaud Doucet

2022

Efficient inversion with complex geostatistical priors using normalizing flows and variational inference

EGU General Assembly Conference Abstracts

Shiran Levy

Eric Laloy

Niklas Linde

2022/5

See List of Professors in Niklas Linde University(Université de Lausanne)

Co-Authors

H-index: 73
Andrew Binley

Andrew Binley

Lancaster University

H-index: 52
Klaus Holliger

Klaus Holliger

Université de Lausanne

H-index: 51
Tanguy Le Borgne

Tanguy Le Borgne

Université de Rennes 1

H-index: 41
Gregoire Mariethoz

Gregoire Mariethoz

Université de Lausanne

H-index: 29
Ari Tryggvason

Ari Tryggvason

Uppsala Universitet

H-index: 7
Tobias Lochbühler

Tobias Lochbühler

Université de Lausanne

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