Michael Kohler

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 28

Top Topics

Simulation Model

Measurement Errors

Rates Of Convergence

Top Venues

IEEE Trans. Inf. Theory

J. Multivar. Anal.

Publications

Michael Kohler, Adam Krzyzak, Benjamin Walter
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent. CoRR (2024)
Selina Drews, Michael Kohler
error of an over-parametrized deep neural network estimate learned by gradient descent without regularization. CoRR (2023)
Michael Kohler, Adam Krzyzak
On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent. CoRR (2023)
Michael Kohler, Benjamin Kohler
Analysis of Convolutional Neural Network Image Classifiers in a Rotationally Symmetric Model. IEEE Trans. Inf. Theory 69 (8) (2023)
Michael Kohler, Benjamin Walter
Analysis of convolutional neural network image classifiers in a rotationally symmetric model. CoRR (2022)
Iryna Gurevych, Michael Kohler, Gözde Gül Sahin
On the Rate of Convergence of a Classifier Based on a Transformer Encoder. IEEE Trans. Inf. Theory 68 (12) (2022)
Yihan Xu, Reza K. Amineh, Ziqian Dong, Fang Li, Kayla Kirton, Michael Kohler
Software Defined Radio-Based Wireless Sensing System. Sensors 22 (17) (2022)
Peter J. Speirs, S. Martin Ummenhofer, Christof Schüpbach, Matthias Renker, Peter Wellig, Diego Cristallini, Daniel W. O'Hagan, Michael Kohler, Axel Murk
Comparison of DVB-T Passive Radar Simulated and Measured Bistatic RCS Values for a Pilatus PC-12 Aircraft. Sensors 22 (7) (2022)
Michael Kohler, Adam Krzyzak, Sophie Langer
Estimation of a Function of Low Local Dimensionality by Deep Neural Networks. IEEE Trans. Inf. Theory 68 (6) (2022)
Iryna Gurevych, Michael Kohler, Gözde Gül Sahin
On the rate of convergence of a classifier based on a Transformer encoder. CoRR (2021)
Michael Kohler, Adam Krzyzak, Benjamin Walter
On the rate of convergence of image classifiers based on convolutional neural networks. CoRR (2020)
Michael Kohler, Adam Krzyzak
On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data. CoRR (2020)
Sebastian Kersting, Michael Kohler
Uncertainty Quantification in Case of Imperfect Models: A Review. CoRR (2020)
Rosana Ardila, Megan Branson, Kelly Davis, Michael Kohler, Josh Meyer, Michael Henretty, Reuben Morais, Lindsay Saunders, Francis M. Tyers, Gregor Weber
Common Voice: A Massively-Multilingual Speech Corpus. LREC (2020)
Michael Kohler, Daniel W. O'Hagan, Matthias Weiss, David Wegner, Josef Worms, Oliver Bringmann
Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments. Sensors 20 (11) (2020)
Michael Kohler, Adam Krzyzak, Sophie Langer
Deep Learning and MARS: A Connection. CoRR (2019)
Michael Kohler, Alexander Saam, Josef Worms, Daniel W. O'Hagan, Jan Novacek, Oliver Bringmann
Delay Estimation for Time Synchronization of a Bistatic Transfer Function Measurement Setup to Single Received Pulses. SPA (2019)
Michael Kohler, Sophie Langer
On the rate of convergence of fully connected very deep neural network regression estimates. CoRR (2019)
Rosana Ardila, Megan Branson, Kelly Davis, Michael Henretty, Michael Kohler, Josh Meyer, Reuben Morais, Lindsay Saunders, Francis M. Tyers, Gregor Weber
Common Voice: A Massively-Multilingual Speech Corpus. CoRR (2019)
Michael Kohler, Adam Krzyzak
Estimation of a Density From an Imperfect Simulation Model. IEEE Trans. Inf. Theory 65 (3) (2019)
Michael Kohler, Adam Krzyzak
Adaptive Estimation of Quantiles in a Simulation Model. IEEE Trans. Inf. Theory 64 (1) (2018)
Augustin Kelava, Michael Kohler, Adam Krzyzak, Tim Fabian Schaffland
Nonparametric estimation of a latent variable model. J. Multivar. Anal. 154 (2017)
Benedikt Bauer, Luc Devroye, Michael Kohler, Adam Krzyzak, Harro Walk
Nonparametric estimation of a function from noiseless observations at random points. J. Multivar. Anal. 160 (2017)
Michael Kohler, Adam Krzyzak
Nonparametric Regression Based on Hierarchical Interaction Models. IEEE Trans. Inf. Theory 63 (3) (2017)
Georg C. Enss, Michael Kohler, Adam Krzyzak, Roland Platz
Nonparametric Quantile Estimation Based on Surrogate Models. IEEE Trans. Inf. Theory 62 (10) (2016)
Michael Kohler, Adam Krzyzak
The rates of convergence of neural network estimates of hierarchical interaction regression models. ISIT (2016)
Ruben Jungnickel, Michael Kohler, Franz Korf
Efficient automotive grid maps using a sensor ray based refinement process. Intelligent Vehicles Symposium (2016)
Daniel Jones, Michael Kohler, Adam Krzyzak, Alexander Richter
Empirical Comparison of Nonparametric Regression Estimates on Real Data. Commun. Stat. Simul. Comput. 45 (7) (2016)
Tina Felber, Michael Kohler, Adam Krzyzak
Adaptive Density Estimation From Data With Small Measurement Errors. IEEE Trans. Inf. Theory 61 (6) (2015)
Michael Kohler
Optimal global rates of convergence for noiseless regression estimation problems with adaptively chosen design. J. Multivar. Anal. 132 (2014)
Tina Felber, Michael Kohler, Adam Krzyzak
Density estimation using real and artificial data. ISIT (2014)
Georg Duftschmid, Christoph Rinner, Michael Kohler, Gudrun Hübner-Bloder, Samrend Saboor, Elske Ammenwerth
The EHR-ARCHE project: Satisfying clinical information needs in a Shared Electronic Health Record System based on IHE XDS and Archetypes. Int. J. Medical Informatics 82 (12) (2013)
Christoph Rinner, Michael Kohler, Samrend Saboor, Gudrun Hübner-Bloder, Elske Ammenwerth, Georg Duftschmid
Searching for Document Contents in an IHE-XDS EHR Architecture via Archetype-Based Indexing of Document Types. MedInfo (2013)
Ida Hertel, Michael Kohler
Estimation of the optimal design of a nonlinear parametric regression problem via Monte Carlo experiments. Comput. Stat. Data Anal. 59 (2013)
Luc Devroye, Tina Felber, Michael Kohler
Estimation of a Density Using Real and Artificial Data. IEEE Trans. Inf. Theory 59 (3) (2013)
Gudrun Hübner-Bloder, Georg Duftschmid, Michael Kohler, Christoph Rinner, Samrend Saboor, Elske Ammenwerth
An EHR Prototype Using Structured ISO/EN 13606 Documents to Respond to Identified Clinical Information Needs of Diabetes Specialists: A Controlled Study on Feasibility and Impact. AMIA (2012)
Daniel Jones, Michael Kohler, Harro Walk
Weakly Universally Consistent Forecasting of Stationary and Ergodic Time Series. IEEE Trans. Inf. Theory 58 (2) (2012)
Michael Kohler, Adam Krzyzak
Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data. Comput. Stat. Data Anal. 56 (6) (2012)
Christoph Rinner, Michael Kohler, Gudrun Hübner-Bloder, Samrend Saboor, Elske Ammenwerth, Georg Duftschmid
Creating ISO/EN 13606 Archetypes Based on Clinical Information Needs. EFMI-STC (2011)
Gudrun Hübner-Bloder, Georg Duftschmid, Michael Kohler, Christoph Rinner, Samrend Saboor, Elske Ammenwerth
Clinical Situations and Information Needs of Physicians During Treatment of Diabetes Mellitus Patients: a Triangulation Study. MIE (2011)
Michael Kohler, Christoph Rinner, Gudrun Hübner-Bloder, Samrend Saboor, Elske Ammenwerth, Georg Duftschmid
The Archetype-Enabled EHR System ZK-ARCHE - Integrating the ISO/EN 13606 Standard and IHE XDS Profile. MIE (2011)
Michael Kohler, Jens Mehnert
Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors. Neural Networks 24 (3) (2011)
Adil M. Bagirov, Conny Clausen, Michael Kohler
An algorithm for the estimation of a regression function by continuous piecewise linear functions. Comput. Optim. Appl. 45 (1) (2010)
Adil M. Bagirov, Conny Clausen, Michael Kohler
An L2-boosting algorithm for estimation of a regression function. IEEE Trans. Inf. Theory 56 (3) (2010)
Adil M. Bagirov, Conny Clausen, Michael Kohler
Estimation of a Regression Function by Maxima of Minima of Linear Functions. IEEE Trans. Inf. Theory 55 (2) (2009)
Michael Kohler, Adam Krzyzak, Harro Walk
On application of nonparametric regression estimation to options pricing. ISIT (2009)
Judith Eckle-Kohler, Michael Kohler, Jens Mehnert
Automatic recognition of German news focusing on future-directed beliefs and intentions. Comput. Speech Lang. 22 (4) (2008)
Michael Kohler, Adam Krzyzak
On the Rate of Convergence of Local Averaging Plug-In Classification Rules Under a Margin Condition. IEEE Trans. Inf. Theory 53 (5) (2007)
László Györfi, Michael Kohler
Nonparametric Estimation of Conditional Distributions. IEEE Trans. Inf. Theory 53 (5) (2007)
Michael Kohler, Adam Krzyzak
Rate of convergence of local averaging plug-in classification rules under margin condition. ISIT (2006)
Michael Kohler, Adam Krzyzak
Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks. ISIT (2005)
Michael Kohler, Adam Krzyzak
Adaptive regression estimation with multilayer feedforward neural networks. ISIT (2004)
Michael Kohler, Adam Krzyzak
Nonparametric regression estimation using penalized least squares. IEEE Trans. Inf. Theory 47 (7) (2001)