Michael Koller

38 papers B 1Misc 4Journal 18Unranked 15
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling.
IEEE Trans. Wirel. Commun.
Nurettin Turan, Benedikt Fesl, Michael Koller, Michael Joham, Wolfgang Utschick
2023 J jnl
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling.
CoRR
Nurettin Turan, Benedikt Fesl, Michael Koller, Michael Joham, Wolfgang Utschick
2023 J jnl
Encouraging Validatable Features in Machine Learning-Based Highly Automated Driving Functions.
IEEE Trans. Intell. Veh.
Oliver De Candido, Michael Koller, Wolfgang Utschick
2023 J jnl
On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems.
IEEE Trans. Signal Process.
Benedikt Fesl, Michael Koller, Wolfgang Utschick
2022 J jnl
An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models.
IEEE Trans. Signal Process.
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
2022 Misc conf
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator Based on Gaussian Mixture Models.
ICASSP
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
2022 Misc conf
CSI Clustering with Variational Autoencoding.
ICASSP
Michael Baur, Michael Würth, Michael Koller, Vlad-Costin Andrei, Wolfgang Utschick
2022 — conf
Channel Estimation based on Gaussian Mixture Models with Structured Covariances.
IEEECONF
Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick
2022 J jnl
Channel Estimation based on Gaussian Mixture Models with Structured Covariances.
CoRR
Benedikt Fesl, Michael Joham, Sha Hu, Michael Koller, Nurettin Turan, Wolfgang Utschick
2022 — conf
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data.
ISWCS
Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick
2022 J jnl
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data.
CoRR
Nurettin Turan, Benedikt Fesl, Moritz Grundei, Michael Koller, Wolfgang Utschick
2022 — conf
GMM-based Codebook Construction and Feedback Encoding in FDD Systems.
IEEECONF
Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
2022 J jnl
GMM-based Codebook Construction and Feedback Encoding in FDD Systems.
CoRR
Nurettin Turan, Michael Koller, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
2022 J jnl
Learning a compressive sensing matrix with structural constraints via maximum mean discrepancy optimization.
Signal Process.
Michael Koller, Wolfgang Utschick
2022 J jnl
On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems.
CoRR
Benedikt Fesl, Michael Koller, Wolfgang Utschick
2022 — conf
Variational Autoencoder Leveraged MMSE Channel Estimation.
IEEECONF
Michael Baur, Benedikt Fesl, Michael Koller, Wolfgang Utschick
2022 J jnl
Variational Autoencoder Leveraged MMSE Channel Estimation.
CoRR
Michael Baur, Benedikt Fesl, Michael Koller, Wolfgang Utschick
2021 — conf
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network.
SPAWC
Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick
2021 J jnl
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network.
CoRR
Benedikt Fesl, Nurettin Turan, Michael Koller, Wolfgang Utschick
2021 J jnl
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models.
CoRR
Michael Koller, Benedikt Fesl, Nurettin Turan, Wolfgang Utschick
2021 J jnl
CSI Clustering with Variational Autoencoding.
CoRR
Michael Baur, Michael Würth, Vlad-Costin Andrei, Michael Koller, Wolfgang Utschick
2021 — conf
Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data.
WSA
Benedikt Fesl, Nurettin Turan, Michael Koller, Michael Joham, Wolfgang Utschick
2021 J jnl
Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data.
CoRR
Benedikt Fesl, Nurettin Turan, Michael Koller, Michael Joham, Wolfgang Utschick
2021 J jnl
Learning a Compressive Sensing Matrix with Structural Constraints via Maximum Mean Discrepancy Optimization.
CoRR
Michael Koller, Wolfgang Utschick
2021 — conf
On Distributional Invariances between Downlink and Uplink MIMO Channels.
WSA
Nurettin Turan, Michael Koller, Valentina Rizzello, Benedikt Fesl, Samer Bazzi, Wen Xu, Wolfgang Utschick
2021 B conf
One-Bit Quantized Channel Prediction with Neural Networks.
PIMRC
Nurettin Turan, Michael Koller, Wolfgang Utschick
2021 — conf
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems.
ACSCC
Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick
2021 J jnl
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems.
CoRR
Nurettin Turan, Michael Koller, Samer Bazzi, Wen Xu, Wolfgang Utschick
2020 Misc conf
Learning a Low-Complexity Channel Estimator for One-Bit Quantization.
ACSSC
Benedikt Fesl, Michael Koller, Nurettin Turan, Wolfgang Utschick
2020 — conf
Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks.
ITSC
Oliver De Candido, Michael Koller, Oliver Gallitz, Ron Melz, Michael Botsch, Wolfgang Utschick
2019 J jnl
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts.
CoRR
Michael Koller, Johannes Feldmaier, Klaus Diepold
2019 — conf
Evaluation of Neural-Network-Based Channel Estimators Using Measurement Data.
WSA
Christoph Hellings, Aymen Dehmani, Stefan Wesemann, Michael Koller, Wolfgang Utschick
2019 — conf
Learning-Based Channel Estimation for Various Antenna Array Configurations.
SPAWC
Michael Koller, Christoph Hellings, Wolfgang Utschick
2018 — conf
A Generalized Hard Thresholding Pursuit on Infinite Unions of Subspaces.
WSA
Michael Koller, Thomas Wiese, Wolfgang Utschick
2018 Misc conf
Deformation Stability of Deep Convolutional Neural Networks on Sobolev Spaces.
ICASSP
Michael Koller, Johannes Grobmann, Ullrich J. Mönich, Holger Boche
2018 — conf
Machine Learning for Channel Estimation from Compressed Measurements.
ISWCS
Michael Koller, Christoph Hellings, Michael Knoedlseder, Thomas Wiese, David Neumann, Wolfgang Utschick
2018 — conf
Shift Invariance and Deformation Error Properties of Deep Convolutional Neural Networks Based on Wavelets.
SPAWC
Johannes Grobmann, Michael Koller, Ullrich J. Mönich, Holger Boche
2015 — conf
An Impropriety Test Based on Block-Skew-Circulant Matrices.
WSA
Christoph Hellings, Michael Koller, Wolfgang Utschick