Marvin Hoge - Eawag: Das Wasserforschungs-Institut des ETH-Bereichs

基本信息

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个人简介

Marvin Hoge currently works at Eawag, Switzerland. Marvin does research in environmental modelling, interpretable machine learning, and hydro(geo)logy.

研究兴趣

论文共 21 篇作者统计合作学者相似作者

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Learning Catchment Features with Autoencoders

Alberto Bassi,Antonietta Mira,Marvin Höge,Fabrizio Fenicia,Carlo Albert

crossref（2024）

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EStreams: an Integrated Dataset and Catalogue of Streamflow, Hydro-Climatic and Landscape Variables for Europe

Thiago V. M. do Nascimento, Julia Rudlang,Marvin Hoge,Ruud van der Ent, Mate Chappon,Jan Seibert,Markus Hrachowitz,Fabrizio Fenicia

SCIENTIFIC DATAno. 1 (2024)

引用0浏览0WOSNATURE引用

Metamorphic Testing of Machine Learning and Conceptual Hydrologic Models

Peter Reichert,Kai Ma,Marvin Hoge,Fabrizio Fenicia,Marco Baity-Jesi,Dapeng Feng,Chaopeng Shen

HYDROLOGY AND EARTH SYSTEM SCIENCESno. 11 (2024): 2505-2529

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Towards Improved Water Quality Modelling Using Neural ODE Models

Marvin Höge, Florian Wenk,Andreas Scheidegger,Carlo Albert, Andreas Frömelt

crossref（2024）

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Model development for a water supply catchment in southeast Brazil

Ana Clara de Sousa Matos,Marvin Höge,Thiago Victor Medeiros do Nascimento, Gustavo de Oliveira Corrêa, Francisco Eustáquio Oliveira e Silva,Fabrizio Fenicia

crossref（2024）

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EStreams: Building an integrated dataset of streamflow, hydro-climatic variables and landscape attributes for catchments in Europe

Thiago V. M. do Nascimento, Julia Rudlang,Marvin Höge,Ruud van der Ent,Jan Seibert,Markus Hrachowitz,Fabrizio Fenicia

crossref（2024）

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Differentiable Modelling to Unify Machine Learning and Physical Models for Geosciences

NATURE REVIEWS EARTH & ENVIRONMENTno. 8 (2023): 552-567

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CAMELS-CH: Hydro-Meteorological Time Series and Landscape Attributes for 331 Catchments in Hydrologic Switzerland

Marvin Hoge,Martina Kauzlaric,Rosi Siber, Ursula Schonenberger,Pascal Horton,Jan Schwanbeck,Marius Gunter Floriancic,Daniel Viviroli, Sibylle Wilhelm,Anna E. Sikorska-Senoner,Nans Addor,Manuela Brunner,Sandra Pool,Massimiliano Zappa,Fabrizio Fenicia

EARTH SYSTEM SCIENCE DATAno. 12 (2023): 5755-5784

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Catchment Attributes and Hydro-Meteorological Time Series for Large-Sample Studies Across Hydrologic Switzerland (CAMELS-CH)

Marvin Höge,Martina Kauzlaric,Rosi Siber, Ursula Schönenberger,Pascal Horton,Jan Schwanbeck,Marius Floriancic,Daniel Viviroli, Steven W. Wilhelm,Anna E. Sikorska‐Senoner,Nans Addor,Manuela Irene Brunner,Sandra Pool,Massimiliano Zappa,Fabrizio Fenicia

Zenodo (CERN European Organization for Nuclear Research) (2023)

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Neural ODE Models in Large-Sample Hydrology

Marvin Höge,Andreas Scheidegger,Marco Baity-Jesi,Carlo Albert,Fabrizio Fenicia

crossref（2023）

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