Michael Koller
Michael Koller
Verified email at tum.de
Cited by
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An impropriety test based on block-skew-circulant matrices
C Hellings, M Koller, W Utschick
WSA 2015; 19th International ITG Workshop on Smart Antennas, 1-6, 2015
Learning-based channel estimation for various antenna array configurations
M Koller, C Hellings, W Utschick
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
Evaluation of neural-network-based channel estimators using measurement data
C Hellings, A Dehmani, S Wesemann, M Koller, W Utschick
WSA 2019; 23rd International ITG Workshop on Smart Antennas, 1-5, 2019
Machine learning for channel estimation from compressed measurements
M Koller, C Hellings, M Knödlseder, T Wiese, D Neumann, W Utschick
2018 15th International Symposium on Wireless Communication Systems (ISWCS), 1-5, 2018
Deformation stability of deep convolutional neural networks on Sobolev spaces
M Koller, J Großmann, U Monich, H Boche
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
A generalized hard thresholding pursuit on infinite unions of subspaces
M Koller, T Wiese, W Utschick
WSA 2018; 22nd International ITG Workshop on Smart Antennas, 1-7, 2018
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems
N Turan, M Koller, S Bazzi, W Xu, W Utschick
arXiv preprint arXiv:2105.09125, 2021
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network
B Fesl, N Turan, M Koller, W Utschick
arXiv preprint arXiv:2104.12667, 2021
Learning a Low-Complexity Channel Estimator for One-Bit Quantization
B Fesl, M Koller, N Turan, W Utschick
2020 54th Asilomar Conference on Signals, Systems, and Computers, 393-397, 2020
Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks
O De Candido, M Koller, O Gallitz, R Melz, M Botsch, W Utschick
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
Learning a Compressive Sensing Matrix with Structural Constraints via Maximum Mean Discrepancy Optimization
M Koller, W Utschick
arXiv preprint arXiv:2110.07221, 2021
Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data
B Fesl, N Turan, M Koller, M Joham, W Utschick
arXiv preprint arXiv:2105.10746, 2021
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts
M Koller, J Feldmaier, K Diepold
arXiv preprint arXiv:1903.07512, 2019
Shift Invariance and Deformation Error Properties of Deep Convolutional Neural Networks Based on Wavelets
J Großmann, M Koller, U Mönich, H Boche
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
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