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3Inferring Underwater Topography with Finite Volume Neural Networks
C. Horuz, M. Karlbauer, T. Praditia, S. Oladyshkin, W. Nowak, and S. Otte. ESANN 2025 Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence andMachine Learning, European Symposium on Artificial Neural Networks, (2025)
a month ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSAUTHOR:OladyshkinSergey
IWSTYPENR:3
IWSYEAR:2025
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSAUTHOR:PraditiaTimothy
IWSABT:ls3
IWSMONTH:04
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSAUTHOR:OladyshkinSergeyIWSTYPENR:3IWSYEAR:20252IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSAUTHOR:PraditiaTimothyIWSABT:ls3IWSMONTH:04
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2Large Temperatures in Water Distribution Pipes as a Water Quality Threat: Measurements and Modelling
C. Haslauer, I. Kroeker, E. Nißler, S. Oladyshkin, W. Nowak, H. Class, and E. Osmancevic. Geophys. Res. Abstr., EGU25-13131, EGU General Assembly 2024, (April 2025)
5 months ago by @ls3
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IWSABT:ls3
IWSAUTHOR:KroekerIlja
IWSAUTHOR:NowakWolfgang
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IWSMONTH:04
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IWSTYPEDE:Konferenzbeiträge
IWSTYPEEN:contribution_to_edited_volumes
IWSTYPENR:3
IWSYEAR:2025
2IWSABT:ls3IWSAUTHOR:KroekerIljaIWSAUTHOR:NowakWolfgangIWSAUTHOR:OladyshkinSergeyIWSMONTH:04IWSSUBTYPE:inproceedingsIWSTYPEDE:KonferenzbeiträgeIWSTYPEEN:contribution_to_edited_volumesIWSTYPENR:3IWSYEAR:2025
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2Development of a Combined Machine Learning and Physics-based Approach to Reduce Hydrologic Model Spin-up Time
L. Pawusch, S. Scheurer, W. Nowak, and R. Maxwell. Geophys. Res. Abstr., 26, EGU2025-10229, EGU General Assembly 2025, (April 2025)
7 months ago by @ls3
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IWSAUTHOR:NowakWolfgang
IWSAUTHOR:PawuschLouisa
IWSAUTHOR:ScheurerStefania
IWSMONTH:04
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IWSTYPEDE:Konferenzbeiträge
IWSTYPEEN:contribution_to_edited_volumes
IWSTYPENR:3
IWSYEAR:2025
2IWSABT:ls3IWSAUTHOR:NowakWolfgangIWSAUTHOR:PawuschLouisaIWSAUTHOR:ScheurerStefaniaIWSMONTH:04IWSSUBTYPE:inproceedingsIWSTYPEDE:KonferenzbeiträgeIWSTYPEEN:contribution_to_edited_volumesIWSTYPENR:3IWSYEAR:2025
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2Surrogate-assisted Bayesian inference with ERT data for contaminant transport modelling in the subsurface
M. Morales Oreamuno, N. Menzel, S. Oladyshkin, F. Wagner, and W. Nowak. Geophys. Res. Abstr., 26, EGU25-12561, EGU General Assembly 2025, (April 2025)
7 months ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSAUTHOR:OladyshkinSergey
IWSTYPENR:3
IWSYEAR:2025
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSAUTHOR:MoralesOreamunoMariaFernanda
IWSABT:ls3
IWSMONTH:04
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSAUTHOR:OladyshkinSergeyIWSTYPENR:3IWSYEAR:20252IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSAUTHOR:MoralesOreamunoMariaFernandaIWSABT:ls3IWSMONTH:04
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2Modeling the Ammonium Removal Processes in Household Sand Filters
R. Wei, A. Le, B. Liu, M. Azari, W. Nowak, A. Kappler, and S. Oladyshkin. Geophys. Res. Abstr., 26, EGU25-205, EGU General Assembly 2025, (April 2025)
7 months ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSAUTHOR:OladyshkinSergey
IWSTYPENR:3
IWSAUTHOR:WeiRan
IWSYEAR:2025
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSABT:ls3
IWSMONTH:04
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSAUTHOR:OladyshkinSergeyIWSTYPENR:3IWSAUTHOR:WeiRanIWSYEAR:20252IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSABT:ls3IWSMONTH:04
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2Which level of model complexity is justified by your data? A Bayesian answer
A. Schöniger, W. Illman, T. Wöhling, and W. Nowa. Geophys. Res. Abstr., 18, EGU2016-12413, EGU General Assembly 2016, (April 2016)
7 months ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSTYPENR:3
IWSYEAR:2016
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSABT:ls3
IWSAUTHOR:GuthkeAnneli
IWSMONTH:04
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSTYPENR:3IWSYEAR:20162IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSABT:ls3IWSAUTHOR:GuthkeAnneliIWSMONTH:04
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6Let’s move to spheres! Why a spherical coordinate system is rewarding when analyzing particle increment statistics
S. Most, W. Nowak, and B. Bijeljic. Geophys. Res. Abstr., 18, EGU2016-17391-1, EGU General Assembly 2016, (April 2016)
7 months ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSAUTHOR:MostSebastian
IWSTYPENR:3
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSYEAR:20216
IWSABT:ls3
IWSMONTH:04
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSAUTHOR:MostSebastianIWSTYPENR:32IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSYEAR:20216IWSABT:ls3IWSMONTH:04
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3Uncertainty quantification for a hydro-morphodynamic model of river Rhine
T. Mai, W. Nowak, R. Kopmann, and S. Oladyshkin. Geophys. Res. Abstr., 18, EGU2016-5701-3, EGU General Assembly 2016, (April 2016)
7 months ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSAUTHOR:OladyshkinSergey
IWSTYPENR:3
IWSYEAR:2016
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSABT:ls3
IWSMONTH:04
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSAUTHOR:OladyshkinSergeyIWSTYPENR:3IWSYEAR:20162IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSABT:ls3IWSMONTH:04
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2Lumped hydrological model for reasonable, long- term predictions of groundwater storage and depletion
F. Ejaz, T. Wöhling, and W. Nowak. Geophys. Res. Abstr., EGU2020-1310, EGU General Assembly 2020, (May 2020)
7 months ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSYEAR:2020
IWSTYPENR:3
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSABT:ls3
IWSMONTH:05
IWSAUTHOR:EjazFahad
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSYEAR:2020IWSTYPENR:32IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSABT:ls3IWSMONTH:05IWSAUTHOR:EjazFahad
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3Characterize the catchment regime by applying optimal monitoring strategies
A. Gonzalez-Nicolas Alvarez, W. Nowak, M. Sinsbeck, and M. Schwientek. Geophys. Res. Abstr., EGU2020-4843, EGU General Assembly 2020, (May 2020)
7 months ago by @ls3
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2
IWSABT:ls3
IWSAUTHOR:GonzalezNicolasAna
IWSAUTHOR:NowakWolfgang
IWSAUTHOR:SinsbeckMicahel
IWSMONTH:05
IWSSUBTYPE:inproceedings
IWSTYPEDE:Konferenzbeiträge
IWSTYPEEN:contribution_to_edited_volumes
IWSTYPENR:3
IWSYEAR:2020
2IWSABT:ls3IWSAUTHOR:GonzalezNicolasAnaIWSAUTHOR:NowakWolfgangIWSAUTHOR:SinsbeckMicahelIWSMONTH:05IWSSUBTYPE:inproceedingsIWSTYPEDE:KonferenzbeiträgeIWSTYPEEN:contribution_to_edited_volumesIWSTYPENR:3IWSYEAR:2020
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2High-end solution techniques and accurate reference solutions: towards a community-wide benchmarking effort for stochastic inverse modeling of groundwater flow
W. Nowak, T. Xu, S. Reuschen, H. Hendricks Franssen, and A. Guadagnini. Geophys. Res. Abstr., EGU2020-19114, EGU General Assembly 2020, (May 2020)
7 months ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSYEAR:2020
IWSTYPENR:3
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSABT:ls3
ReuschenSebastian
IWSMONTH:05
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IWSAUTHOR:XuTeng
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSYEAR:2020IWSTYPENR:32IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSABT:ls3ReuschenSebastianIWSMONTH:05IWSAUTHOR:IWSAUTHOR:XuTeng
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2Comparing different approaches for modeling reactive transport on aquifer-scale – which level of complexity is legitimate?
A. Schäfer Rodrigues Silva, M. Höge, A. Guthke, and W. Nowak. Geophys. Res. Abstr., EGU2020-21508, EGU General Assembly 2020, (May 2020)
7 months ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSYEAR:2020
IWSTYPENR:3
IWSAUTHOR:SchaeferRodriguesSilvaAline
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSABT:ls3
IWSMONTH:05
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSYEAR:2020IWSTYPENR:3IWSAUTHOR:SchaeferRodriguesSilvaAline2IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSABT:ls3IWSMONTH:05
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4A Stochastic Framework to Optimize the Monitoring Strategy for the Delineation of a Groundwater Divide
J. Allgeier, A. Gonzalez-Nicolas, D. Erdal, W. Nowak, and O. Cirpka. Geophys. Res. Abstr., EGU2020-6907, EGU General Assembly 2020, (May 2020)
7 months ago by @ls3
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IWSTYPEDE:Konferenzbeiträge
IWSYEAR:2020
IWSTYPENR:3
IWSAUTHOR:GonzalezNicolasAna
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSABT:ls3
IWSMONTH:05
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSYEAR:2020IWSTYPENR:3IWSAUTHOR:GonzalezNicolasAna2IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSABT:ls3IWSMONTH:05
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3Flexible energy systems for planning the world’s main copper mines considering geographical conditions
S. Moreno Leiva, J. Haas, W. Nowak, and T. Junne. Geophys. Res. Abstr., EGU2020-20568, EGU General Assembly 2020, (May 2020)
7 months ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSYEAR:2020
IWSTYPENR:3
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSAUTHOR:JannikHaas
IWSABT:ls3
IWSMONTH:05
IWSAUTHOR:SimonMorenoLeiva
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSYEAR:2020IWSTYPENR:32IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSAUTHOR:JannikHaasIWSABT:ls3IWSMONTH:05IWSAUTHOR:SimonMorenoLeiva
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2Effective sampling of behavioral subsurface parameter realizations assisted by surrogate models
D. Erdal, S. Xiao, W. Nowak, and O. Cirpka. Geophys. Res. Abstr., EGU2020-13897, EGU General Assembly 2020, (May 2020)
7 months ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
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IWSYEAR:2020
IWSTYPENR:3
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSAUTHOR:XiaoSinan
IWSABT:ls3
IWSMONTH:05
IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSYEAR:2020IWSTYPENR:32IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSAUTHOR:XiaoSinanIWSABT:ls3IWSMONTH:05
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2Bayesian inversion and visualization of hierarchical geostatistical models
S. Reuschen, T. Xu, and W. Nowak. Geophys. Res. Abstr., EGU2020-6551, EGU General Assembly 2020, (May 2020)
7 months ago by @ls3
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IWSYEAR:2020
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2
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IWSSUBTYPE:inproceedings
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IWSMONTH:04
IWSMONTH:05
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IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSYEAR:2020IWSTYPENR:3IWSAUTHOR:ReuschenSebastian2IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSABT:ls3IWSMONTH:04IWSMONTH:05IWSAUTHOR:XuTeng
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2Learning Kinetic Sorption Mechanisms Using Ordinary Differential Arbitrary Polynomial Chaos Expansion
N. Wildt, and S. Oladyshkin. Tucson, Arizona, USA, 25th International Conference on Computational Methods in Water Resources (CMWR), (September 2024)
8 months ago by @ls3
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IWSAUTHOR:WildtNils
IWSYEAR:2024
IWSTYPEEN:contribution_to_edited_volumes
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IWSAUTHOR:OladyshkinSergey
IWSTYPENR:3
2
IWSSUBTYPE:inproceedings
IWSMONTH:09
IWSABT:ls3
IWSAUTHOR:WildtNilsIWSYEAR:2024IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSAUTHOR:OladyshkinSergeyIWSTYPENR:32IWSSUBTYPE:inproceedingsIWSMONTH:09IWSABT:ls3
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2Efficient Inference for Non-Deterministic Fractures
T. Bruennette, and W. Nowak. geoENV2024 Book of Abstracts, page 67--68. Chania, Crete, GR, International Association of Hydrogeology – Spanish Chapter, Creative Commons Licence BY-NC-ND 4.0, (June 2024)
a year ago by @ls3
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IWSAUTHOR:BruennetteTim
IWSYEAR:2024
IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSTYPENR:3
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSABT:ls3
IWSMONTH:06
IWSAUTHOR:BruennetteTimIWSYEAR:2024IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSTYPENR:32IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSABT:ls3IWSMONTH:06
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2Training surrogate models using input dimension reduction and Bayesian active learning techniques for inverse modelling in heterogeneous media applications
M. Morales Oreamuno, S. Oladyshkin, and W. Nowak. geoENV2024 Book of Abstracts, page 191--192. Chania, Crete, GR, International Association of Hydrogeology – Spanish Chapter, Creative Commons Licence BY-NC-ND 4.0, (June 2024)
a year ago by @ls3
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IWSTYPEEN:contribution_to_edited_volumes
IWSTYPEDE:Konferenzbeiträge
IWSAUTHOR:OladyshkinSergey
IWSTYPENR:3
2
IWSAUTHOR:NowakWolfgang
IWSSUBTYPE:inproceedings
IWSAUTHOR:MoralesOreamunoMariaFernanda
IWSABT:ls3
IWSMONTH:06
IWSYEAR:2024IWSTYPEEN:contribution_to_edited_volumesIWSTYPEDE:KonferenzbeiträgeIWSAUTHOR:OladyshkinSergeyIWSTYPENR:32IWSAUTHOR:NowakWolfgangIWSSUBTYPE:inproceedingsIWSAUTHOR:MoralesOreamunoMariaFernandaIWSABT:ls3IWSMONTH:06
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6Neural Process Regression
S. Scheurer, and W. Nowak. geoENV2024 Book of Abstracts, page 155--156. Chania, Crete, GR, International Association of Hydrogeology – Spanish Chapter, Creative Commons Licence BY-NC-ND 4.0, (June 2024)
a year ago by @ls3
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3Inferring Underwater Topography with Finite Volume Neural Networks

2Large Temperatures in Water Distribution Pipes as a Water Quality Threat: Measurements and Modelling

2Development of a Combined Machine Learning and Physics-based Approach to Reduce Hydrologic Model Spin-up Time

2Surrogate-assisted Bayesian inference with ERT data for contaminant transport modelling in the subsurface

2Modeling the Ammonium Removal Processes in Household Sand Filters

2Which level of model complexity is justified by your data? A Bayesian answer

6Let’s move to spheres! Why a spherical coordinate system is rewarding when analyzing particle increment statistics

3Uncertainty quantification for a hydro-morphodynamic model of river Rhine

2Lumped hydrological model for reasonable, long- term predictions of groundwater storage and depletion

3Characterize the catchment regime by applying optimal monitoring strategies

2High-end solution techniques and accurate reference solutions: towards a community-wide benchmarking effort for stochastic inverse modeling of groundwater flow

2Comparing different approaches for modeling reactive transport on aquifer-scale – which level of complexity is legitimate?

4A Stochastic Framework to Optimize the Monitoring Strategy for the Delineation of a Groundwater Divide

3Flexible energy systems for planning the world’s main copper mines considering geographical conditions

2Effective sampling of behavioral subsurface parameter realizations assisted by surrogate models

2Bayesian inversion and visualization of hierarchical geostatistical models

2Learning Kinetic Sorption Mechanisms Using Ordinary Differential Arbitrary Polynomial Chaos Expansion

2Efficient Inference for Non-Deterministic Fractures

2Training surrogate models using input dimension reduction and Bayesian active learning techniques for inverse modelling in heterogeneous media applications

6Neural Process Regression

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