David Neumann

According to our database, David Neumann authored at least 25 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Privacy Preserving System for Movie Recommendations using Federated Learning.

David Neumann, Andreas Lutz, Karsten Müller, Wojciech Samek

CoRR, 2023

2022

Finding and removing Clever Hans: Using explanation methods to debug and improve deep models.

Christopher J. Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin

Inf. Fusion, 2022

2021

Transceiver Design for Large Scale Communication Systems (Entwurf von Sende- und Empfangssignalverarbeitung für hochdimensionale Kommunikationssysteme)

David Neumann

PhD thesis, 2021

Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy.

Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin

CoRR, 2021

2020

Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements.

Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand

npj Digit. Medicine, 2020

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks.

Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek

IEEE J. Sel. Top. Signal Process., 2020

Deepcabac: Plug & Play Compression of Neural Network Weights and Weight Updates.

David Neumann, Felix Sattler, Heiner Kirchhoffer, Simon Wiedemann, Karsten Müller, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed.

Christopher J. Anders, Talmaj Marinc, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin

CoRR, 2019

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks.

Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek

CoRR, 2019

DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression.

Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek

CoRR, 2019

2018

Learning the MMSE Channel Estimator.

David Neumann, Thomas Wiese, Wolfgang Utschick

IEEE Trans. Signal Process., 2018

A Bilinear Equalizer for Massive MIMO Systems.

David Neumann, Thomas Wiese, Michael Joham, Wolfgang Utschick

IEEE Trans. Signal Process., 2018

Covariance Matrix Estimation in Massive MIMO.

David Neumann, Michael Joham, Wolfgang Utschick

IEEE Signal Process. Lett., 2018

Machine Learning for Channel Estimation from Compressed Measurements.

Michael Koller, Christoph Hellings, Michael Knoedlseder, Thomas Wiese, David Neumann, Wolfgang Utschick

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

2017

A Generalized Matched Filter Framework for Massive MIMO Systems.

David Neumann, Thomas Wiese, Michael Joham, Wolfgang Utschick

CoRR, 2017

Deep Channel Estimation.

David Neumann, Thomas Wiese, Wolfgang Utschick

Proceedings of the WSA 2017, 2017

Joint covariance matrix estimation and pilot allocation in massive MIMO systems.

David Neumann, Kamel Shibli, Michael Joham, Wolfgang Utschick

Proceedings of the IEEE International Conference on Communications, 2017

2016

Pilot Coordination in CDI Precoded Massive MIMO Systems.

Samuele Zoppi, Michael Joham, David Neumann, Wolfgang Utschick

Proceedings of the WSA 2016, 2016

CDI Rate-balancing with Per-base-station Constraints.

David Neumann, Andreas Gründinger, Michael Joham, Wolfgang Utschick

Proceedings of the WSA 2016, 2016

2015

Channel Estimation in Massive MIMO Systems.

David Neumann, Michael Joham, Wolfgang Utschick

CoRR, 2015

Low-Complexity Computation of LMMSE Channel Estimates in Massive MIMO.

David Neumann, Michael Joham, Lorenz Weiland, Wolfgang Utschick

Proceedings of the WSA 2015, 2015

Rate-balancing in massive MIMO using statistical precoding.

David Neumann, Andreas Gründinger, Michael Joham, Wolfgang Utschick

Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015

2014

Pilot Coordination for Large-Scale Multi-Cell TDD Systems.

David Neumann, Andreas Gründinger, Michael Joham, Wolfgang Utschick

Proceedings of the WSA 2014, 2014

Suppression of pilot-contamination in massive MIMO systems.

David Neumann, Michael Joham, Wolfgang Utschick

Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014

On the amount of training in coordinated massive MIMO systems.

David Neumann, Andreas Gründinger, Michael Joham, Wolfgang Utschick

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014