Thomas Scholten

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All published works

Action	Title	Year	Authors
+	Machine learning applications in archaeological pratices: a review	2025	Mathias Bellat Jordy Didier Orellana Figueroa Jonathan S. Reeves Ruhollah Taghizadeh‐Mehrjardi Claudio Tennie Thomas Scholten
+ PDF Chat	SSL-SoilNet: A Hybrid Transformer-based Framework with Self-Supervised Learning for Large-scale Soil Organic Carbon Prediction	2024	Nafiseh Kakhani Moien Rangzan Ali Jamali Sara Attarchi Seyed Kazem Alavipanah Michael Mommert Nikolaos Tziolas Thomas Scholten
+	Exploring the ‘Individual Treatment Effects’ (ITE) of Vegetation with Causal Inference on Soil Organic Carbon Prediction in Germany	2023	Nafiseh Kakhani Thomas Gläßle Ruhollah Taghizadeh‐Mehrjardi Ndiye Michael Kebonye Thomas Scholten
+	Inductive biases in deep learning models for weather prediction	2023	Jannik Thuemmel Matthias Karlbauer Sebastian Otte Christiane Zarfl Georg Martius Nicole Ludwig Thomas Scholten Ulrich Friedrich Volker Wulfmeyer Bedartha Goswami
+	SoilNet: An Attention-based Spatio-temporal Deep Learning Framework for Soil Organic Carbon Prediction with Digital Soil Mapping in Europe	2023	Nafiseh Kakhani Moien Rangzan Ali Jamali Sara Attarchi Seyed Kazem Alavipanah Thomas Scholten
+	Hierarchical Soil Classification using Gaussian Processes	2022	Thomas Gläßle Kerstin Rau Thomas Scholten Philipp Hennig
+ PDF Chat	Microbial iron(III) reduction during palsa collapse promotes greenhouse gas emissions before complete permafrost thaw	2021	Monique Patzner Merritt Logan Amy M. McKenna Robert A. Young Zhe Zhou Hanna Joß Carsten W. Mueller Carmen Hoeschen Thomas Scholten Daniel Straub
+ PDF Chat	Latent State Inference in a Spatiotemporal Generative Model	2021	Matthias Karlbauer Tobias Menge Sebastian Otte Hendrik P. A. Lensch Thomas Scholten Volker Wulfmeyer Martin V. Butz
+	Iron mineral dissolution releases iron and associated organic carbon during permafrost thaw	2020	Monique Patzner Carsten W. Mueller Miroslava Malusova Moritz Baur Verena Nikeleit Thomas Scholten Carmen Hoeschen James M. Byrne Andreas Kappler Casey Bryce
+	Latent State Inference in a Spatiotemporal Generative Model	2020	Matthias Karlbauer Tobias Menge Sebastian Otte Hendrik P. A. Lensch Thomas Scholten Volker Wulfmeyer Martin V. Butz
+	Inferring, Predicting, and Denoising Causal Wave Dynamics	2020	Matthias Karlbauer Sebastian Otte Hendrik P. A. Lensch Thomas Scholten Volker Wulfmeyer Martin V. Butz
+ PDF Chat	Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran	2020	Mostafa Emadi Ruhollah Taghizadeh‐Mehrjardi Ali Cherati Majid Danesh Amir Mosavi Thomas Scholten
+ PDF Chat	Iron mineral dissolution releases iron and associated organic carbon during permafrost thaw	2020	Monique Patzner Carsten W. Mueller Miroslava Malusova Moritz Baur Verena Nikeleit Thomas Scholten Carmen Hoeschen James Byrne Thomas Borch Andreas Kappler
+ PDF Chat	Inferring, Predicting, and Denoising Causal Wave Dynamics	2020	Matthias Karlbauer Sebastian Otte Hendrik P. A. Lensch Thomas Scholten Volker Wulfmeyer Martin V. Butz
+	Latent State Inference in a Spatiotemporal Generative Model	2020	Matthias Karlbauer Tobias Menge Sebastian Otte Hendrik P. A. Lensch Thomas Scholten Volker Wulfmeyer Martin V. Butz
+	Inferring, Predicting, and Denoising Causal Wave Dynamics	2020	Matthias Karlbauer Sebastian Otte Hendrik P. A. Lensch Thomas Scholten Volker Wulfmeyer Martin V. Butz
+	A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction	2019	Matthias Karlbauer Sebastian Otte Hendrik P. A. Lensch Thomas Scholten Volker Wulfmeyer Martin V. Butz
+ PDF Chat	Conduction spectroscopy of a proximity induced superconducting topological insulator	2017	Martin Stehno Nico W. Hendrickx M. Snelder Thomas Scholten Y. K. Huang M. S. Golden Alexander Brinkman
+	Conductance spectroscopy of a proximity induced superconducting topological insulator	2015	M. Snelder Martin Stehno A. A. Golubov C.G. Molenaar Thomas Scholten Dingsong Wu Y. K. Huang Wilfred G. van der Wiel M. S. Golden Alexander Brinkman

Common Coauthors

Coauthor	Papers Together
Volker Wulfmeyer	8
Martin V. Butz	8
Sebastian Otte	8
Matthias Karlbauer	8
Hendrik P. A. Lensch	7
Ruhollah Taghizadeh‐Mehrjardi	3
Nafiseh Kakhani	3
Tobias Menge	3
Carsten W. Mueller	3
Andreas Kappler	3
Carmen Hoeschen	3
Monique Patzner	3
Ali Jamali	2
M. Snelder	2
Miroslava Malusova	2
Verena Nikeleit	2
Thomas Borch	2
Casey Bryce	2
Moien Rangzan	2
Moritz Baur	2
Seyed Kazem Alavipanah	2
Y. K. Huang	2
Thomas Gläßle	2
Sara Attarchi	2
M. S. Golden	2
Alexander Brinkman	2
Martin Stehno	2
James Byrne	1
Robert A. Young	1
Dingsong Wu	1
A. A. Golubov	1
Amir Mosavi	1
Ulrich Friedrich	1
Hanna Joß	1
Georg Martius	1
Nikolaos Tziolas	1
Amy M. McKenna	1
Jonathan S. Reeves	1
Sara Kleindienst	1
Philipp Hennig	1
Majid Danesh	1
C.G. Molenaar	1
Bedartha Goswami	1
Wilfred G. van der Wiel	1
Nicole Ludwig	1
Ali Cherati	1
Nico W. Hendrickx	1
Mathias Bellat	1
Claudio Tennie	1
Daniel Straub	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo	5
+	A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction	2019	Matthias Karlbauer Sebastian Otte Hendrik P. A. Lensch Thomas Scholten Volker Wulfmeyer Martin V. Butz	4
+	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling	2018	Shaojie Bai J. Zico Kolter Vladlen Koltun	4
+ PDF Chat	Geometric Deep Learning: Going beyond Euclidean data	2017	Michael M. Bronstein Joan Bruna Yann LeCun Arthur Szlam Pierre Vandergheynst	3
+	Relational inductive biases, deep learning, and graph networks	2018	Peter Battaglia Jessica B. Hamrick Victor Bapst Álvaro Sánchez‐González Vinícius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Neural Machine Translation in Linear Time	2016	Nal Kalchbrenner Lasse Espeholt Karen Simonyan Aäron van den Oord Alexander Graves Koray Kavukcuoglu	3
+	Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions	2018	Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber	2
+	A Comprehensive Survey on Graph Neural Networks	2020	Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu	2
+ PDF Chat	WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting	2020	Stephan Rasp Peter Dueben Sebastian Scher Jonathan A. Weyn Soukayna Mouatadid Nils Thuerey	2
+ PDF Chat	The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains	2013	David I Shuman Sunil K. Narang Pascal Frossard Antonio Ortega Pierre Vandergheynst	2
+ PDF Chat	Inferring, Predicting, and Denoising Causal Wave Dynamics	2020	Matthias Karlbauer Sebastian Otte Hendrik P. A. Lensch Thomas Scholten Volker Wulfmeyer Martin V. Butz	2
+ PDF Chat	Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere	2020	Jonathan A. Weyn Dale R. Durran Rich Caruana	2
+	Graph networks as learnable physics engines for inference and control	2018	Álvaro Sánchez‐González Nicolas Heess Jost Tobias Springenberg Josh Merel Martin Riedmiller Raia Hadsell Peter Battaglia	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Interaction Networks for Learning about Objects, Relations and Physics	2016	Peter Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu	2
+ PDF Chat	Structural-RNN: Deep Learning on Spatio-Temporal Graphs	2016	Ashesh Jain Amir Zamir Silvio Savarese Ashutosh Saxena	2
+ PDF Chat	Learning, planning, and control in a monolithic neural event inference architecture	2019	Martin V. Butz David K. Bilkey Dania Humaidan Alistair Knott Sebastian Otte	2
+ PDF Chat	Interplay between superconductivity and ferromagnetism on a topological insulator	2010	Jacob Linder Yukio Tanaka Takehito Yokoyama Asle Sudbø Naoto Nagaosa	1
+ PDF Chat	Probing Neutral Majorana Fermion Edge Modes with Charge Transport	2009	Liang Fu C. L. Kane	1
+ PDF Chat	Josephson current and noise at a superconductor/quantum-spin-Hall-insulator/superconductor junction	2009	Liang Fu C. L. Kane	1
+ PDF Chat	Helical Andreev bound states and superconducting Klein tunneling in topological insulator Josephson junctions	2013	G. Tkachov Ewelina M. Hankiewicz	1
+	A computer program for the determination of most probable number and its confidence limits	1993	Albert J. Klee	1
+	Stochastic gradient boosting	2002	Jerome H. Friedman	1
+ PDF Chat	Transport signatures of superconducting hybrids with mixed singlet and chiral triplet states	2014	Pablo Burset Felix Keidel Yukio Tanaka Naoto Nagaosa Björn Trauzettel	1
+ PDF Chat	Andreev–Saint-James reflections: A probe of cuprate superconductors	2005	G. Deutscher	1
+ PDF Chat	Evidence for electron-electron interaction in topological insulator thin films	2011	Jian Wang Ashley DaSilva Cui‐Zu Chang Ke He J. K. Jain N. Samarth Xu-Cun Ma Qi-Kun Xue Moses H. W. Chan	1
+ PDF Chat	Zero-bias peaks and splitting in an Al–InAs nanowire topological superconductor as a signature of Majorana fermions	2012	Anindya Das Yuval Ronen Yonatan Most Yuval Oreg Moty Heiblum Hadas Shtrikman	1
+ PDF Chat	Josephson supercurrent in a topological insulator without a bulk shunt	2014	M. Snelder C.G. Molenaar Yiming Pan Deyan Wu Y. K. Huang A. de Visser A. A. Golubov Wilfred G. van der Wiel H. Hilgenkamp M. S. Golden	1
+ PDF Chat	Topologically Protected Qubits from a Possible Non-Abelian Fractional Quantum Hall State	2005	S. Das Sarma Michael Freedman Chetan Nayak	1
+	A note on a general definition of the coefficient of determination	1991	N. J. D. Nagelkerke	1
+ PDF Chat	Observation of topological surface state quantum Hall effect in an intrinsic three-dimensional topological insulator	2014	Xu Yang I. Miotkowski Chang Liu Jifa Tian Hyoungdo Nam Nasser Alidoust Jiuning Hu Chih‐Kang Shih M. Zahid Hasan Yong P. Chen	1
+ PDF Chat	Non-Abelian anyons and topological quantum computation	2008	Chetan Nayak Steven H. Simon Ady Stern Michael Freedman S. Das Sarma	1
+ PDF Chat	Superconducting Proximity Effect and Majorana Fermions at the Surface of a Topological Insulator	2008	Liang Fu C. L. Kane	1
+	A Note On "A Concordance Correlation Coefficient to Evaluate Reproducibility"	1997	Carol A. Nickerson	1
+ PDF Chat	Andreev Reflection in an<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>s</mml:mi></mml:math>-Type Superconductor Proximized 3D Topological Insulator	2016	E. S. Tikhonov Д. В. Шовкун M. Snelder Martin Stehno Y. K. Huang M. S. Golden A. A. Golubov Alexander Brinkman V. S. Khrapai	1
+ PDF Chat	Robust Fabry–Perot interference in dual-gated Bi2Se3 devices	2016	A. D. K. Finck C. Kurter Erik Huemiller Y. S. Hor D. J. Van Harlingen	1
+	A simple neural network module for relational reasoning	2017	Adam Santoro David Raposo David G. T. Barrett Mateusz Malinowski Razvan Pascanu Peter Battaglia Timothy Lillicrap	1
+ PDF Chat	Moments and Cumulants in the Specification of Distributions	1938	E. A. Cornish R. A. Fisher	1
+ PDF Chat	Deep learning in agriculture: A survey	2018	Andreas Kamilaris Francesc X. Prenafeta‐Boldú	1
+ PDF Chat	WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming	2018	Inkyu Sa Marija Popović Raghav Khanna Zetao Chen Philipp Lottes Frank Liebisch Juan Nieto Cyrill Stachniss Achim Walter Roland Siegwart	1
+	Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks	2015	Samy Bengio Oriol Vinyals Navdeep Jaitly Noam Shazeer	1
+	A simple neural network module for relational reasoning	2017	Adam Santoro David Raposo David G. T. Barrett Mateusz Malinowski Razvan Pascanu Peter Battaglia Timothy Lillicrap	1
+ PDF Chat	Deep learning of subsurface flow via theory-guided neural network	2020	Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li	1
+	Active Tuning	2021	Sebastian Otte Matthias Karlbauer Martin V. Butz	1
+ PDF Chat	Signature of proximity-induced p <sub>x</sub> + ip <sub>y</sub> triplet pairing in the doped topological insulator Bi <sub>2</sub> Se <sub>3</sub> by the s-wave superconductor NbN	2013	G. Koren T. Kirzhner Yoav Kalcheim Oded Millo	1
+ PDF Chat	Strong Superconducting Proximity Effect in Pb-Bi2Te3 Hybrid Structures	2012	Fanming Qu Fan Yang Jie Shen Yue Ding Jun Chen Zhongqing Ji Guangtong Liu Jie Fan Xiunian Jing Changli Yang	1
+ PDF Chat	Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran	2020	Mostafa Emadi Ruhollah Taghizadeh‐Mehrjardi Ali Cherati Majid Danesh Amir Mosavi Thomas Scholten	1
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	1
+ PDF Chat	Induced superconductivity distinguishes chaotic from integrable billiards	1996	J. A. Melsen Piet W. Brouwer Klaus M. Frahm C. W. J. Beenakker	1