Search Results - "Müller, K."
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SchNetPack: A Deep Learning Toolbox For Atomistic Systems
Published in Journal of chemical theory and computation (08-01-2019)“…SchNetPack is a toolbox for the development and application of deep neural networks that predict potential energy surfaces and other quantum-chemical…”
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Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions
Published in Nature communications (15-11-2019)“…Machine learning advances chemistry and materials science by enabling large-scale exploration of chemical space based on quantum chemical calculations. While…”
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3
Comprehensive evidence implies a higher social cost of CO2
Published in Nature (London) (27-10-2022)“…The social cost of carbon dioxide (SC-CO 2 ) measures the monetized value of the damages to society caused by an incremental metric tonne of CO 2 emissions and…”
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Stark Effect Spectroscopy of Mono- and Few-Layer MoS2
Published in Nano letters (09-03-2016)“…We demonstrate electrical control of the A-exciton interband transition in mono- and few-layer MoS2 crystals embedded into photocapacitor devices via the DC…”
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NEARLY OPTIMAL TESTS WHEN A NUISANCE PARAMETER IS PRESENT UNDER THE NULL HYPOTHESIS
Published in Econometrica (01-03-2015)“…This paper considers nonstandard hypothesis testing problems that involve a nuisance parameter. We establish an upper bound on the weighted average power of…”
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On-Chip Generation, Routing, and Detection of Resonance Fluorescence
Published in Nano letters (12-08-2015)“…Quantum optical circuits can be used to generate, manipulate, and exploit nonclassical states of light to push semiconductor based photonic information…”
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7
Diversity and functions of intestinal mononuclear phagocytes
Published in Mucosal immunology (01-07-2017)“…The intestinal lamina propria (LP) contains a diverse array of mononuclear phagocyte (MNP) subsets, including conventional dendritic cells (cDC), monocytes and…”
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How to represent crystal structures for machine learning: Towards fast prediction of electronic properties
Published in Physical review. B, Condensed matter and materials physics (21-05-2014)“…High-throughput density functional calculations of solids are highly time-consuming. As an alternative, we propose a machine learning approach for the fast…”
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Site-selectively generated photon emitters in monolayer MoS2 via local helium ion irradiation
Published in Nature communications (21-06-2019)“…Quantum light sources in solid-state systems are of major interest as a basic ingredient for integrated quantum photonic technologies. The ability to tailor…”
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Federated Learning in Dentistry: Chances and Challenges
Published in Journal of dental research (01-10-2022)“…Building performant and robust artificial intelligence (AI)–based applications for dentistry requires large and high-quality data sets, which usually reside in…”
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Spatial Correlation Robust Inference
Published in Econometrica (01-11-2022)“…We propose a method for constructing confidence intervals that account for many forms of spatial correlation. The interval has the familiar “estimator plus and…”
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Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning
Published in Seminars in cancer biology (01-10-2018)“…The extent of tumor-infiltrating lymphocytes (TILs), along with immunomodulatory ligands, tumor-mutational burden and other biomarkers, has been demonstrated…”
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Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces
Published in IEEE transactions on biomedical engineering (01-03-2011)“…There is a step of significant difficulty experienced by brain-computer interface (BCI) users when going from the calibration recording to the feedback…”
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14
Spatial Unit Roots and Spurious Regression
Published in Econometrica (01-09-2024)“…This paper proposes a model for, and investigates the consequences of, strong spatial dependence in economic variables. Our findings echo those of the…”
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An introduction to kernel-based learning algorithms
Published in IEEE transactions on neural networks (01-03-2001)“…This paper provides an introduction to support vector machines, kernel Fisher discriminant analysis, and kernel principal component analysis, as examples for…”
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Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings
Published in NeuroImage (Orlando, Fla.) (01-08-2023)“…•Three frequency estimation measures called instantaneous frequency, local frequency and peak frequency are explained and compared.•We also present three novel…”
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Regular gaming behavior and internet gaming disorder in European adolescents: results from a cross-national representative survey of prevalence, predictors, and psychopathological correlates
Published in European child & adolescent psychiatry (01-05-2015)“…Excessive use of online computer games which leads to functional impairment and distress has recently been included as Internet Gaming Disorder (IGD) in…”
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Electric-Field Switchable Second-Harmonic Generation in Bilayer MoS2 by Inversion Symmetry Breaking
Published in Nano letters (11-01-2017)“…We demonstrate pronounced electric-field-induced second-harmonic generation in naturally inversion symmetric 2H stacked bilayer MoS2 embedded into…”
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INFERENCE WITH FEW HETEROGENEOUS CLUSTERS
Published in The review of economics and statistics (01-03-2016)“…Suppose estimating a model on each of a small number of potentially heterogeneous clusters yields approximately independent, unbiased, and Gaussian parameter…”
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Distinct and early increase in circulating MMP-9 in COVID-19 patients with respiratory failure
Published in The Journal of infection (01-09-2020)Get full text
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