On the amount of training in coordinated massive MIMO systems. - David Neumann; Andreas Gründinger; Michael Joham; Wolfgang Utschick (SAM, 2014)

Suppression of pilot-contamination in massive MIMO systems. - David Neumann; Michael Joham; Wolfgang Utschick (SPAWC, 2014)

Pilot Coordination for Large-Scale Multi-Cell TDD Systems. - David Neumann; Andreas Gründinger; Michael Joham; Wolfgang Utschick (WSA, 2014)

Rate-balancing in massive MIMO using statistical precoding. - David Neumann; Andreas Gründinger; Michael Joham; Wolfgang Utschick (SPAWC, 2015)

Low-Complexity Computation of LMMSE Channel Estimates in Massive MIMO. - David Neumann; Michael Joham; Lorenz Weiland; Wolfgang Utschick (WSA, 2015)

Channel Estimation in Massive MIMO Systems. - David Neumann; Michael Joham; Wolfgang Utschick (CoRR, 2015)

CDI Rate-balancing with Per-base-station Constraints. - David Neumann; Andreas Gründinger; Michael Joham; Wolfgang Utschick (WSA, 2016)

Pilot Coordination in CDI Precoded Massive MIMO Systems. - Samuele Zoppi; Michael Joham; David Neumann; Wolfgang Utschick (WSA, 2016)

Joint covariance matrix estimation and pilot allocation in massive MIMO systems. - David Neumann; Kamel Shibli; Michael Joham; Wolfgang Utschick (ICC, 2017)

Deep Channel Estimation. - David Neumann; Thomas Wiese; Wolfgang Utschick (WSA, 2017)

A Generalized Matched Filter Framework for Massive MIMO Systems. - David Neumann; Thomas Wiese; Michael Joham; Wolfgang Utschick (CoRR, 2017)

Machine Learning for Channel Estimation from Compressed Measurements. - Michael Koller 001; Christoph Hellings; Michael Knoedlseder; Thomas Wiese; David Neumann; Wolfgang Utschick (ISWCS, 2018)

Covariance Matrix Estimation in Massive MIMO. - David Neumann; Michael Joham; Wolfgang Utschick (IEEE Signal Process. Lett., 2018)

A Bilinear Equalizer for Massive MIMO Systems. - David Neumann; Thomas Wiese; Michael Joham; Wolfgang Utschick (IEEE Trans. Signal Process., 2018)

Learning the MMSE Channel Estimator. - David Neumann; Thomas Wiese; Wolfgang Utschick (IEEE Trans. Signal Process., 2018)

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 001; Wojciech Samek (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 001; Ahmed Osman; Detlev Marpe; Heiko Schwarz; Thomas Wiegand 001; et al. (CoRR, 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: Plug & Play Compression of Neural Network Weights and Weight Updates. - David Neumann; Felix Sattler; Heiner Kirchhoffer; Simon Wiedemann; Karsten Müller 001; Heiko Schwarz; Thomas Wiegand 001; Detlev Marpe; Wojciech Samek (ICIP, 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 001; Heiko Schwarz; Thomas Wiegand 001; Detlev Marpe; Wojciech Samek (IEEE J. Sel. Top. Signal Process., 2020)

Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements. - Felix Sattler; Jackie Ma; Patrick Wagner 002; David Neumann; Markus Wenzel 002; Ralf Schäfer; Wojciech Samek; Klaus-Robert Müller; Thomas Wiegand 001 (npj Digit. Medicine, 2020)

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)

Transceiver Design for Large Scale Communication Systems (Entwurf von Sende- und Empfangssignalverarbeitung für hochdimensionale Kommunikationssysteme) - David Neumann (2021)

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)

A Privacy Preserving System for Movie Recommendations Using Federated Learning. - David Neumann; Andreas Lutz; Karsten Müller 001; Wojciech Samek (Trans. Recomm. Syst., 2025)