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2020 – today
- 2024
[c15]Michael Kohler, Benjamin Walter, Adam Krzyzak:
Rate of Convergence of an Over-Parametrized Convolutional Neural Network Image Classifier Learned by Gradient Descent. ISIT 2024: 374-379- [i11]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 abs/2405.07619 (2024) - 2023
- [j27]Michael Kohler
, Benjamin Kohler:
Analysis of Convolutional Neural Network Image Classifiers in a Rotationally Symmetric Model. IEEE Trans. Inf. Theory 69(8): 5203-5218 (2023) - [i10]Selina Drews, Michael Kohler:
Analysis of the expected L2 error of an over-parametrized deep neural network estimate learned by gradient descent without regularization. CoRR abs/2311.14609 (2023) - [i9]Michael Kohler, Adam Krzyzak:
On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent. CoRR abs/2312.17007 (2023) - 2022
- [j26]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): 2766 (2022) - [j25]Michael Kohler, Adam Krzyzak, Sophie Langer:
Estimation of a Function of Low Local Dimensionality by Deep Neural Networks. IEEE Trans. Inf. Theory 68(6): 4032-4042 (2022) - [j24]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): 8139-8155 (2022) - [i8]Michael Kohler, Benjamin Walter:
Analysis of convolutional neural network image classifiers in a rotationally symmetric model. CoRR abs/2205.05500 (2022) - 2021
- [i7]Iryna Gurevych, Michael Kohler, Gözde Gül Sahin:
On the rate of convergence of a classifier based on a Transformer encoder. CoRR abs/2111.14574 (2021) - 2020
- [j23]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): 3311 (2020) - [c14]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: 4218-4222 - [i6]Michael Kohler, Adam Krzyzak, Benjamin Walter:
On the rate of convergence of image classifiers based on convolutional neural networks. CoRR abs/2003.01526 (2020) - [i5]Michael Kohler, Adam Krzyzak:
On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data. CoRR abs/2011.00328 (2020) - [i4]Sebastian Kersting, Michael Kohler:
Uncertainty Quantification in Case of Imperfect Models: A Review. CoRR abs/2012.09449 (2020)
2010 – 2019
- 2019
- [j22]Michael Kohler, Adam Krzyzak:
Estimation of a Density From an Imperfect Simulation Model. IEEE Trans. Inf. Theory 65(3): 1535-1546 (2019) - [c13]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: 62-66 - [i3]Michael Kohler, Sophie Langer:
On the rate of convergence of fully connected very deep neural network regression estimates. CoRR abs/1908.11133 (2019) - [i2]Michael Kohler, Adam Krzyzak, Sophie Langer:
Deep Learning and MARS: A Connection. CoRR abs/1908.11140 (2019) - [i1]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 abs/1912.06670 (2019) - 2018
- [j21]Michael Kohler, Adam Krzyzak:
Adaptive Estimation of Quantiles in a Simulation Model. IEEE Trans. Inf. Theory 64(1): 501-512 (2018) - 2017
- [j20]Augustin Kelava, Michael Kohler, Adam Krzyzak, Tim Fabian Schaffland:
Nonparametric estimation of a latent variable model. J. Multivar. Anal. 154: 112-134 (2017) - [j19]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: 93-104 (2017) - [j18]Michael Kohler, Adam Krzyzak:
Nonparametric Regression Based on Hierarchical Interaction Models. IEEE Trans. Inf. Theory 63(3): 1620-1630 (2017) - 2016
- [j17]Daniel Jones, Michael Kohler, Adam Krzyzak, Alexander Richter:
Empirical Comparison of Nonparametric Regression Estimates on Real Data. Commun. Stat. Simul. Comput. 45(7): 2309-2319 (2016) - [j16]Georg C. Enss, Michael Kohler, Adam Krzyzak, Roland Platz:
Nonparametric Quantile Estimation Based on Surrogate Models. IEEE Trans. Inf. Theory 62(10): 5727-5739 (2016) - [c12]Michael Kohler, Adam Krzyzak:
The rates of convergence of neural network estimates of hierarchical interaction regression models. ISIT 2016: 975-977 - [c11]Ruben Jungnickel, Michael Kohler, Franz Korf:
Efficient automotive grid maps using a sensor ray based refinement process. Intelligent Vehicles Symposium 2016: 668-675 - 2015
- [j15]Tina Felber, Michael Kohler, Adam Krzyzak:
Adaptive Density Estimation From Data With Small Measurement Errors. IEEE Trans. Inf. Theory 61(6): 3446-3456 (2015) - 2014
- [j14]Michael Kohler:
Optimal global rates of convergence for noiseless regression estimation problems with adaptively chosen design. J. Multivar. Anal. 132: 197-208 (2014) - [c10]Tina Felber, Michael Kohler, Adam Krzyzak:
Density estimation using real and artificial data. ISIT 2014: 1677-1681 - 2013
- [j13]Ida Hertel, Michael Kohler:
Estimation of the optimal design of a nonlinear parametric regression problem via Monte Carlo experiments. Comput. Stat. Data Anal. 59: 1-12 (2013) - [j12]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): 1195-1207 (2013) - [j11]Luc Devroye, Tina Felber, Michael Kohler:
Estimation of a Density Using Real and Artificial Data. IEEE Trans. Inf. Theory 59(3): 1917-1928 (2013) - [c9]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: 1092 - 2012
- [j10]Michael Kohler, Adam Krzyzak:
Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data. Comput. Stat. Data Anal. 56(6): 1566-1580 (2012) - [j9]Daniel Jones, Michael Kohler, Harro Walk:
Weakly Universally Consistent Forecasting of Stationary and Ergodic Time Series. IEEE Trans. Inf. Theory 58(2): 1191-1202 (2012) - [c8]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 - 2011
- [j8]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): 273-279 (2011) - [c7]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: 43-48 - [c6]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: 369-373 - [c5]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: 799-803 - 2010
- [j7]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): 159-179 (2010) - [j6]Adil M. Bagirov, Conny Clausen, Michael Kohler:
An L2-boosting algorithm for estimation of a regression function. IEEE Trans. Inf. Theory 56(3): 1417-1429 (2010)
2000 – 2009
- 2009
- [j5]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): 833-845 (2009) - [c4]Michael Kohler, Adam Krzyzak, Harro Walk:
On application of nonparametric regression estimation to options pricing. ISIT 2009: 1579-1583 - 2008
- [j4]Judith Eckle-Kohler, Michael Kohler, Jens Mehnert:
Automatic recognition of German news focusing on future-directed beliefs and intentions. Comput. Speech Lang. 22(4): 394-414 (2008) - 2007
- [j3]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): 1735-1742 (2007) - [j2]László Györfi, Michael Kohler:
Nonparametric Estimation of Conditional Distributions. IEEE Trans. Inf. Theory 53(5): 1872-1879 (2007) - 2006
- [c3]Michael Kohler, Adam Krzyzak:
Rate of convergence of local averaging plug-in classification rules under margin condition. ISIT 2006: 2176-2179 - 2005
- [c2]Michael Kohler, Adam Krzyzak:
Rates of convergence for adaptive regression estimates with multiple hidden layer feedforward neural networks. ISIT 2005: 1436-1440 - 2004
- [c1]Michael Kohler, Adam Krzyzak:
Adaptive regression estimation with multilayer feedforward neural networks. ISIT 2004: 467 - 2002
- [b1]László Györfi, Michael Kohler, Adam Krzyzak, Harro Walk:
A Distribution-Free Theory of Nonparametric Regression. Springer series in statistics, Springer 2002, ISBN 978-0-387-95441-7, pp. I-XVI, 1-647 - 2001
- [j1]Michael Kohler, Adam Krzyzak:
Nonparametric regression estimation using penalized least squares. IEEE Trans. Inf. Theory 47(7): 3054-3059 (2001)
Coauthor Index
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