Michael Koller

Orcid: 0000-0002-4814-2900

Affiliations:

Technical University of Munich, Germany

According to our database¹, Michael Koller authored at least 26 papers between 2015 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

Encouraging Validatable Features in Machine Learning-Based Highly Automated Driving Functions.

[BibT_eX]

[DOI]

Oliver De Candido

Michael Koller

Wolfgang Utschick

IEEE Trans. Intell. Veh., February, 2023

On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems.

[BibT_eX]

[DOI]

Benedikt Fesl

Michael Koller

Wolfgang Utschick

IEEE Trans. Signal Process., 2023

A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

2022

An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Learning a compressive sensing matrix with structural constraints via maximum mean discrepancy optimization.

[BibT_eX]

[DOI]

Michael Koller

Wolfgang Utschick

Signal Process., 2022

Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data.

[BibT_eX]

[DOI]

Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator Based on Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

CSI Clustering with Variational Autoencoding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

GMM-based Codebook Construction and Feedback Encoding in FDD Systems.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Channel Estimation based on Gaussian Mixture Models with Structured Covariances.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Variational Autoencoder Leveraged MMSE Channel Estimation.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

On Distributional Invariances between Downlink and Uplink MIMO Channels.

[BibT_eX]

[DOI]

Proceedings of the 25th International ITG Workshop on Smart Antennas, 2021

Centralized Learning of the Distributed Downlink Channel Estimators in FDD Systems using Uplink Data.

[BibT_eX]

[DOI]

Proceedings of the 25th International ITG Workshop on Smart Antennas, 2021

A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

One-Bit Quantized Channel Prediction with Neural Networks.

[BibT_eX]

[DOI]

Nurettin Turan

Michael Koller

Wolfgang Utschick

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Learning a Low-Complexity Channel Estimator for One-Bit Quantization.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts.

[BibT_eX]

[DOI]

Michael Koller

Johannes Feldmaier

Klaus Diepold

CoRR, 2019

Evaluation of Neural-Network-Based Channel Estimators Using Measurement Data.

[BibT_eX]

[DOI]

Proceedings of the 23rd International ITG Workshop on Smart Antennas, 2019

Learning-Based Channel Estimation for Various Antenna Array Configurations.

[BibT_eX]

[DOI]

Michael Koller

Christoph Hellings

Wolfgang Utschick

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

2018

A Generalized Hard Thresholding Pursuit on Infinite Unions of Subspaces.

[BibT_eX]

[DOI]

Michael Koller

Thomas Wiese

Wolfgang Utschick

Proceedings of the 22nd International ITG Workshop on Smart Antennas, 2018

Shift Invariance and Deformation Error Properties of Deep Convolutional Neural Networks Based on Wavelets.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Machine Learning for Channel Estimation from Compressed Measurements.

[BibT_eX]

[DOI]

Proceedings of the 15th International Symposium on Wireless Communication Systems, 2018

Deformation Stability of Deep Convolutional Neural Networks on Sobolev Spaces.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2015

An Impropriety Test Based on Block-Skew-Circulant Matrices.

[BibT_eX]

[DOI]

Christoph Hellings

Michael Koller

Wolfgang Utschick

Proceedings of the WSA 2015, 2015

Michael Koller

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