Michael Kohler

58 papers B 9Misc 1Journal 42Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Rate of Convergence of an Over-Parametrized Deep Neural Network Regression Estimate Learned by Gradient Descent. IEEE Trans. Inf. Theory Michael Kohler
2025	J	`jnl`	Analysis of the Rate of Convergence of an Over-Parametrized Deep Neural Network Estimate Learned by Gradient Descent. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2025	J	`jnl`	Regularized Over-Parametrized Neural Networks Learned by Gradient Descent Can Generalize Well. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2025	J	`jnl`	Statistically guided deep learning. CoRR Michael Kohler, Adam Krzyzak
2024	J	`jnl`	Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent. CoRR Michael Kohler, Adam Krzyzak, Benjamin Walter
2024	B	`conf`	Rate of Convergence of an Over-Parametrized Convolutional Neural Network Image Classifier Learned by Gradient Descent. ISIT Michael Kohler, Benjamin Walter, Adam Krzyzak
2023	J	`jnl`	Analysis of Convolutional Neural Network Image Classifiers in a Rotationally Symmetric Model. IEEE Trans. Inf. Theory Michael Kohler, Benjamin Kohler
2023	J	`jnl`	Analysis of the expected L CoRR Selina Drews, Michael Kohler
2023	J	`jnl`	On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent. CoRR Michael Kohler, Adam Krzyzak
2022	J	`jnl`	Analysis of convolutional neural network image classifiers in a rotationally symmetric model. CoRR Michael Kohler, Benjamin Walter
2022	J	`jnl`	Comparison of DVB-T Passive Radar Simulated and Measured Bistatic RCS Values for a Pilatus PC-12 Aircraft. Sensors Peter J. Speirs, S. Martin Ummenhofer, Christof Schüpbach, Matthias Renker, Peter Wellig, Diego Cristallini, Daniel W. O'Hagan, Michael Kohler, Axel Murk
2022	J	`jnl`	Estimation of a Function of Low Local Dimensionality by Deep Neural Networks. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak, Sophie Langer
2022	J	`jnl`	On the Rate of Convergence of a Classifier Based on a Transformer Encoder. IEEE Trans. Inf. Theory Iryna Gurevych, Michael Kohler, Gözde Gül Sahin
2021	J	`jnl`	On the rate of convergence of a classifier based on a Transformer encoder. CoRR Iryna Gurevych, Michael Kohler, Gözde Gül Sahin
2020	B	`conf`	Common Voice: A Massively-Multilingual Speech Corpus. LREC Rosana Ardila, Megan Branson, Kelly Davis, Michael Kohler, Josh Meyer, Michael Henretty, Reuben Morais, Lindsay Saunders, Francis M. Tyers, Gregor Weber
2020	J	`jnl`	On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data. CoRR Michael Kohler, Adam Krzyzak
2020	J	`jnl`	On the rate of convergence of image classifiers based on convolutional neural networks. CoRR Michael Kohler, Adam Krzyzak, Benjamin Walter
2020	J	`jnl`	Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments. Sensors Michael Kohler, Daniel W. O'Hagan, Matthias Weiss, David Wegner, Josef Worms, Oliver Bringmann
2020	J	`jnl`	Uncertainty Quantification in Case of Imperfect Models: A Review. CoRR Sebastian Kersting, Michael Kohler
2019	J	`jnl`	Common Voice: A Massively-Multilingual Speech Corpus. CoRR Rosana Ardila, Megan Branson, Kelly Davis, Michael Henretty, Michael Kohler, Josh Meyer, Reuben Morais, Lindsay Saunders, Francis M. Tyers, Gregor Weber
2019	J	`jnl`	Deep Learning and MARS: A Connection. CoRR Michael Kohler, Adam Krzyzak, Sophie Langer
2019	—	`conf`	Delay Estimation for Time Synchronization of a Bistatic Transfer Function Measurement Setup to Single Received Pulses. SPA Michael Kohler, Alexander Saam, Josef Worms, Daniel W. O'Hagan, Jan Novacek, Oliver Bringmann
2019	J	`jnl`	Estimation of a Density From an Imperfect Simulation Model. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2019	J	`jnl`	On the rate of convergence of fully connected very deep neural network regression estimates. CoRR Michael Kohler, Sophie Langer
2018	J	`jnl`	Adaptive Estimation of Quantiles in a Simulation Model. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2017	J	`jnl`	Nonparametric Regression Based on Hierarchical Interaction Models. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2017	J	`jnl`	Nonparametric estimation of a function from noiseless observations at random points. J. Multivar. Anal. Benedikt Bauer, Luc Devroye, Michael Kohler, Adam Krzyzak, Harro Walk
2017	J	`jnl`	Nonparametric estimation of a latent variable model. J. Multivar. Anal. Augustin Kelava, Michael Kohler, Adam Krzyzak, Tim Fabian Schaffland
2016	B	`conf`	Efficient automotive grid maps using a sensor ray based refinement process. Intelligent Vehicles Symposium Ruben Jungnickel, Michael Kohler, Franz Korf
2016	J	`jnl`	Empirical Comparison of Nonparametric Regression Estimates on Real Data. Commun. Stat. Simul. Comput. Daniel Jones, Michael Kohler, Adam Krzyzak, Alexander Richter
2016	J	`jnl`	Nonparametric Quantile Estimation Based on Surrogate Models. IEEE Trans. Inf. Theory Georg C. Enss, Michael Kohler, Adam Krzyzak, Roland Platz
2016	B	`conf`	The rates of convergence of neural network estimates of hierarchical interaction regression models. ISIT Michael Kohler, Adam Krzyzak
2015	J	`jnl`	Adaptive Density Estimation From Data With Small Measurement Errors. IEEE Trans. Inf. Theory Tina Felber, Michael Kohler, Adam Krzyzak
2014	B	`conf`	Density estimation using real and artificial data. ISIT Tina Felber, Michael Kohler, Adam Krzyzak
2014	J	`jnl`	Optimal global rates of convergence for noiseless regression estimation problems with adaptively chosen design. J. Multivar. Anal. Michael Kohler
2013	J	`jnl`	Estimation of a Density Using Real and Artificial Data. IEEE Trans. Inf. Theory Luc Devroye, Tina Felber, Michael Kohler
2013	J	`jnl`	Estimation of the optimal design of a nonlinear parametric regression problem via Monte Carlo experiments. Comput. Stat. Data Anal. Ida Hertel, Michael Kohler
2013	—	`conf`	Searching for Document Contents in an IHE-XDS EHR Architecture via Archetype-Based Indexing of Document Types. MedInfo Christoph Rinner, Michael Kohler, Samrend Saboor, Gudrun Hübner-Bloder, Elske Ammenwerth, Georg Duftschmid
2013	J	`jnl`	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 Georg Duftschmid, Christoph Rinner, Michael Kohler, Gudrun Hübner-Bloder, Samrend Saboor, Elske Ammenwerth
2012	Misc	`conf`	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 Gudrun Hübner-Bloder, Georg Duftschmid, Michael Kohler, Christoph Rinner, Samrend Saboor, Elske Ammenwerth
2012	J	`jnl`	Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data. Comput. Stat. Data Anal. Michael Kohler, Adam Krzyzak
2012	J	`jnl`	Weakly Universally Consistent Forecasting of Stationary and Ergodic Time Series. IEEE Trans. Inf. Theory Daniel Jones, Michael Kohler, Harro Walk
2011	J	`jnl`	Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors. Neural Networks Michael Kohler, Jens Mehnert
2011	—	`conf`	Clinical Situations and Information Needs of Physicians During Treatment of Diabetes Mellitus Patients: a Triangulation Study. MIE Gudrun Hübner-Bloder, Georg Duftschmid, Michael Kohler, Christoph Rinner, Samrend Saboor, Elske Ammenwerth
2011	—	`conf`	Creating ISO/EN 13606 Archetypes Based on Clinical Information Needs. EFMI-STC Christoph Rinner, Michael Kohler, Gudrun Hübner-Bloder, Samrend Saboor, Elske Ammenwerth, Georg Duftschmid
2011	—	`conf`	The Archetype-Enabled EHR System ZK-ARCHE - Integrating the ISO/EN 13606 Standard and IHE XDS Profile. MIE Michael Kohler, Christoph Rinner, Gudrun Hübner-Bloder, Samrend Saboor, Elske Ammenwerth, Georg Duftschmid
2010	J	`jnl`	An L2-boosting algorithm for estimation of a regression function. IEEE Trans. Inf. Theory Adil M. Bagirov, Conny Clausen, Michael Kohler
2010	J	`jnl`	An algorithm for the estimation of a regression function by continuous piecewise linear functions. Comput. Optim. Appl. Adil M. Bagirov, Conny Clausen, Michael Kohler
2009	J	`jnl`	Estimation of a Regression Function by Maxima of Minima of Linear Functions. IEEE Trans. Inf. Theory Adil M. Bagirov, Conny Clausen, Michael Kohler
2009	B	`conf`	On application of nonparametric regression estimation to options pricing. ISIT Michael Kohler, Adam Krzyzak, Harro Walk
2008	J	`jnl`	Automatic recognition of German news focusing on future-directed beliefs and intentions. Comput. Speech Lang. Judith Eckle-Kohler, Michael Kohler, Jens Mehnert
2007	J	`jnl`	Nonparametric Estimation of Conditional Distributions. IEEE Trans. Inf. Theory László Györfi, Michael Kohler
2007	J	`jnl`	On the Rate of Convergence of Local Averaging Plug-In Classification Rules Under a Margin Condition. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak
2006	B	`conf`	Rate of convergence of local averaging plug-in classification rules under margin condition. ISIT Michael Kohler, Adam Krzyzak
2005	B	`conf`	Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks. ISIT Michael Kohler, Adam Krzyzak
2004	B	`conf`	Adaptive regression estimation with multilayer feedforward neural networks. ISIT Michael Kohler, Adam Krzyzak
2002	—	`book`	A Distribution-Free Theory of Nonparametric Regression. László Györfi, Michael Kohler, Adam Krzyzak, Harro Walk
2001	J	`jnl`	Nonparametric regression estimation using penalized least squares. IEEE Trans. Inf. Theory Michael Kohler, Adam Krzyzak