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ORCIDMichael Koller 0001
Person information
- affiliation: Technical University of Munich, Germany
Other persons with the same name
- Michael Koller 0002 — TU Wien, Austria
- Michael Koller 0003 — University Hospital Regensburg, Germany
- Michael Koller 0004 — Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
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2020 – today
- 2024
[j5]Nurettin Turan
, Benedikt Fesl, Michael Koller, Michael Joham, Wolfgang Utschick:
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling. IEEE Trans. Wirel. Commun. 23(6): 6251-6265 (2024)- 2023
- [j4]Oliver De Candido, Michael Koller, Wolfgang Utschick:
Encouraging Validatable Features in Machine Learning-Based Highly Automated Driving Functions. IEEE Trans. Intell. Veh. 8(2): 1837-1851 (2023) - [j3]Benedikt Fesl, Michael Koller, Wolfgang Utschick:
On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems. IEEE Trans. Signal Process. 71: 1968-1980 (2023) - [i13]Nurettin Turan, Benedikt Fesl, Michael Koller, Michael Joham, Wolfgang Utschick:
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling. CoRR abs/2304.14373 (2023) - 2022
- [j2]Michael Koller, Wolfgang Utschick:
Learning a compressive sensing matrix with structural constraints via maximum mean discrepancy optimization. Signal Process. 197: 108553 (2022) - [j1]Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick:
An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models. IEEE Trans. Signal Process. 70: 4109-4123 (2022) - [c20]Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick:
GMM-based Codebook Construction and Feedback Encoding in FDD Systems. IEEECONF 2022: 37-42 - [c19]Michael Baur, Benedikt Fesl, Michael Koller, Wolfgang Utschick:
Variational Autoencoder Leveraged MMSE Channel Estimation. IEEECONF 2022: 527-532 - [c18]Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick:
Channel Estimation based on Gaussian Mixture Models with Structured Covariances. IEEECONF 2022: 533-537 - [c17]Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick:
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator Based on Gaussian Mixture Models. ICASSP 2022: 5268-5272 - [c16]Michael Baur, Michael Würth, Michael Koller, Vlad-Costin Andrei, Wolfgang Utschick:
CSI Clustering with Variational Autoencoding. ICASSP 2022: 5278-5282 - [c15]Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick:
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. ISWCS 2022: 1-6 - [i12]Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick:
Channel Estimation based on Gaussian Mixture Models with Structured Covariances. CoRR abs/2205.03634 (2022) - [i11]Michael Baur, Benedikt Fesl, Michael Koller, Wolfgang Utschick:
Variational Autoencoder Leveraged MMSE Channel Estimation. CoRR abs/2205.05345 (2022) - [i10]Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick:
GMM-based Codebook Construction and Feedback Encoding in FDD Systems. CoRR abs/2205.12002 (2022) - [i9]Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick:
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. CoRR abs/2207.14150 (2022) - [i8]Benedikt Fesl, Michael Koller, Wolfgang Utschick:
On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems. CoRR abs/2212.04470 (2022) - 2021
- [c14]Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick:
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems. ACSCC 2021: 1464-1469 - [c13]Nurettin Turan, Michael Koller, Wolfgang Utschick:
One-Bit Quantized Channel Prediction with Neural Networks. PIMRC 2021: 604-609 - [c12]Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick:
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. SPAWC 2021: 11-15 - [c11]Benedikt Fesl, Nurettin Turan, Michael Koller, Michael Joham, Wolfgang Utschick:
Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data. WSA 2021: 1-6 - [c10]Nurettin Turan, Michael Koller, Valentina Rizzello, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick:
On Distributional Invariances between Downlink and Uplink MIMO Channels. WSA 2021: 1-6 - [i7]Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick:
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. CoRR abs/2104.12667 (2021) - [i6]Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick:
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems. CoRR abs/2105.09125 (2021) - [i5]Benedikt Fesl, Nurettin Turan, Michael Koller, Michael Joham, Wolfgang Utschick:
Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data. CoRR abs/2105.10746 (2021) - [i4]Michael Koller, Wolfgang Utschick:
Learning a Compressive Sensing Matrix with Structural Constraints via Maximum Mean Discrepancy Optimization. CoRR abs/2110.07221 (2021) - [i3]Michael Baur, Michael Würth, Vlad-Costin Andrei, Michael Koller, Wolfgang Utschick:
CSI Clustering with Variational Autoencoding. CoRR abs/2111.09758 (2021) - [i2]Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick:
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models. CoRR abs/2111.11064 (2021) - 2020
- [c9]Benedikt Fesl, Michael Koller, Nurettin Turan, Wolfgang Utschick:
Learning a Low-Complexity Channel Estimator for One-Bit Quantization. ACSSC 2020: 393-397 - [c8]Oliver De Candido, Michael Koller, Oliver Gallitz, Ron Melz, Michael Botsch, Wolfgang Utschick:
Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks. ITSC 2020: 1-8
2010 – 2019
- 2019
- [c7]Michael Koller, Christoph Hellings, Wolfgang Utschick:
Learning-Based Channel Estimation for Various Antenna Array Configurations. SPAWC 2019: 1-5 - [c6]Christoph Hellings, Aymen Dehmani, Stefan Wesemann, Michael Koller, Wolfgang Utschick:
Evaluation of Neural-Network-Based Channel Estimators Using Measurement Data. WSA 2019: 164-168 - [i1]Michael Koller, Johannes Feldmaier, Klaus Diepold:
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts. CoRR abs/1903.07512 (2019) - 2018
- [c5]Michael Koller, Johannes Grobmann, Ullrich J. Mönich, Holger Boche:
Deformation Stability of Deep Convolutional Neural Networks on Sobolev Spaces. ICASSP 2018: 6872-6876 - [c4]Michael Koller, Christoph Hellings, Michael Knoedlseder, Thomas Wiese, David Neumann, Wolfgang Utschick:
Machine Learning for Channel Estimation from Compressed Measurements. ISWCS 2018: 1-5 - [c3]Johannes Grobmann, Michael Koller, Ullrich J. Mönich, Holger Boche:
Shift Invariance and Deformation Error Properties of Deep Convolutional Neural Networks Based on Wavelets. SPAWC 2018: 1-5 - [c2]Michael Koller, Thomas Wiese, Wolfgang Utschick:
A Generalized Hard Thresholding Pursuit on Infinite Unions of Subspaces. WSA 2018: 1-7 - 2015
- [c1]Christoph Hellings, Michael Koller, Wolfgang Utschick:
An Impropriety Test Based on Block-Skew-Circulant Matrices. WSA 2015: 1-6
Coauthor Index
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