Search Results - "Müller, K."

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    SchNetPack: A Deep Learning Toolbox For Atomistic Systems by Schütt, K. T, Kessel, P, Gastegger, M, Nicoli, K. A, Tkatchenko, A, Müller, K.-R

    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 by Schütt, K. T., Gastegger, M., Tkatchenko, A., Müller, K.-R., Maurer, R. J.

    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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    Stark Effect Spectroscopy of Mono- and Few-Layer MoS2 by Klein, J, Wierzbowski, J, Regler, A, Becker, J, Heimbach, F, Müller, K, Kaniber, M, Finley, J. J

    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 by Elliott, Graham, Müller, Ulrich K., Watson, Mark W.

    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 by Reithmaier, G, Kaniber, M, Flassig, F, Lichtmannecker, S, Müller, K, Andrejew, A, Vučković, J, Gross, R, Finley, J. J

    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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    Diversity and functions of intestinal mononuclear phagocytes by Joeris, T, Müller-Luda, K, Agace, W W, Mowat, A McI

    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 by Schütt, K. T., Glawe, H., Brockherde, F., Sanna, A., Müller, K. R., Gross, E. K. U.

    “…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 by Klein, J., Lorke, M., Florian, M., Sigger, F., Sigl, L., Rey, S., Wierzbowski, J., Cerne, J., Müller, K., Mitterreiter, E., Zimmermann, P., Taniguchi, T., Watanabe, K., Wurstbauer, U., Kaniber, M., Knap, M., Schmidt, R., Finley, J. J., Holleitner, A. W.

    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 by Rischke, R., Schneider, L., Müller, K., Samek, W., Schwendicke, F., Krois, J.

    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 by Müller, Ulrich K., Watson, Mark W.

    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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    Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces by Vidaurre, C., Kawanabe, M., von Bünau, P., Blankertz, B., Müller, K. R.

    “…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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    Spatial Unit Roots and Spurious Regression by Müller, Ulrich K., Watson, Mark W.

    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 by Muller, K.-R., Mika, S., Ratsch, G., Tsuda, K., Scholkopf, B.

    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 by Vidaurre, C., Gurunandan, K., Idaji, M. Jamshidi, Nolte, G., Gómez, M., Villringer, A., Müller, K.-R., Nikulin, V.V.

    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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    Electric-Field Switchable Second-Harmonic Generation in Bilayer MoS2 by Inversion Symmetry Breaking by Klein, J, Wierzbowski, J, Steinhoff, A, Florian, M, Rösner, M, Heimbach, F, Müller, K, Jahnke, F, Wehling, T. O, Finley, J. J, Kaniber, M

    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 by Ibragimov, Rustam, Müller, Ulrich K.

    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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