Michael Koller

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 37

Top Topics

Unsupervised Learning

Channel Estimation

Gaussian Mixture

Convolutional Neural Networks

Top Venues

Publications

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) (2024)
Oliver De Candido, Michael Koller, Wolfgang Utschick
Encouraging Validatable Features in Machine Learning-Based Highly Automated Driving Functions. IEEE Trans. Intell. Veh. 8 (2) (2023)
Nurettin Turan, Benedikt Fesl, Michael Koller, Michael Joham, Wolfgang Utschick
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling. CoRR (2023)
Benedikt Fesl, Michael Koller, Wolfgang Utschick
On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems. IEEE Trans. Signal Process. 71 (2023)
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)
Benedikt Fesl, Michael Koller, Wolfgang Utschick
On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems. CoRR (2022)
Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. ISWCS (2022)
Michael Baur, Benedikt Fesl, Michael Koller, Wolfgang Utschick
Variational Autoencoder Leveraged MMSE Channel Estimation. IEEECONF (2022)
Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
GMM-based Codebook Construction and Feedback Encoding in FDD Systems. IEEECONF (2022)
Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick
Channel Estimation based on Gaussian Mixture Models with Structured Covariances. CoRR (2022)
Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick
Channel Estimation based on Gaussian Mixture Models with Structured Covariances. IEEECONF (2022)
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models. IEEE Trans. Signal Process. 70 (2022)
Michael Koller, Wolfgang Utschick
Learning a compressive sensing matrix with structural constraints via maximum mean discrepancy optimization. Signal Process. 197 (2022)
Michael Baur, Michael Würth, Michael Koller, Andrei Vlad-Costin, Wolfgang Utschick
CSI Clustering with Variational Autoencoding. ICASSP (2022)
Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data. CoRR (2022)
Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
GMM-based Codebook Construction and Feedback Encoding in FDD Systems. CoRR (2022)
Michael Baur, Benedikt Fesl, Michael Koller, Wolfgang Utschick
Variational Autoencoder Leveraged MMSE Channel Estimation. CoRR (2022)
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models. CoRR (2021)
Michael Baur, Michael Würth, Andrei Vlad-Costin, Michael Koller, Wolfgang Utschick
CSI Clustering with Variational Autoencoding. CoRR (2021)
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)
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)
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 (2021)
Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. CoRR (2021)
Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems. CoRR (2021)
Nurettin Turan, Michael Koller, Wolfgang Utschick
One-Bit Quantized Channel Prediction with Neural Networks. PIMRC (2021)
Michael Koller, Wolfgang Utschick
Learning a Compressive Sensing Matrix with Structural Constraints via Maximum Mean Discrepancy Optimization. CoRR (2021)
Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems. ACSCC (2021)
Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network. SPAWC (2021)
Benedikt Fesl, Michael Koller, Nurettin Turan, Wolfgang Utschick
Learning a Low-Complexity Channel Estimator for One-Bit Quantization. ACSSC (2020)
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)
Christoph Hellings, Aymen Dehmani, Stefan Wesemann, Michael Koller, Wolfgang Utschick
Evaluation of Neural-Network-Based Channel Estimators Using Measurement Data. WSA (2019)
Michael Koller, Johannes Feldmaier, Klaus Diepold
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts. CoRR (2019)
Michael Koller, Christoph Hellings, Wolfgang Utschick
Learning-Based Channel Estimation for Various Antenna Array Configurations. SPAWC (2019)
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)
Michael Koller, Johannes Grobmann, Ullrich J. Mönich, Holger Boche
Deformation Stability of Deep Convolutional Neural Networks on Sobolev Spaces. ICASSP (2018)
Michael Koller, Christoph Hellings, Michael Knoedlseder, Thomas Wiese, David Neumann, Wolfgang Utschick
Machine Learning for Channel Estimation from Compressed Measurements. ISWCS (2018)
Michael Koller, Thomas Wiese, Wolfgang Utschick
A Generalized Hard Thresholding Pursuit on Infinite Unions of Subspaces. WSA (2018)
Christoph Hellings, Michael Koller, Wolfgang Utschick
An Impropriety Test Based on Block-Skew-Circulant Matrices. WSA (2015)