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ORCIDDavid Neumann
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2020 – today
- 2023
[i10]David Neumann, Andreas Lutz, Karsten Müller, Wojciech Samek:
A Privacy Preserving System for Movie Recommendations using Federated Learning. CoRR abs/2303.04689 (2023)- 2022
- [j6]Christopher J. Anders
, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin:
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models. Inf. Fusion 77: 261-295 (2022) - 2021
- [b1]David Neumann:
Transceiver Design for Large Scale Communication Systems (Entwurf von Sende- und Empfangssignalverarbeitung für hochdimensionale Kommunikationssysteme). Technical University of Munich, Germany, 2021 - [i9]Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin:
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy. CoRR abs/2106.13200 (2021) - 2020
- [j5]Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek:
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks. IEEE J. Sel. Top. Signal Process. 14(4): 700-714 (2020) - [j4]Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand:
Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements. npj Digit. Medicine 3 (2020) - [c11]David Neumann, Felix Sattler, Heiner Kirchhoffer, Simon Wiedemann, Karsten Müller, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek:
Deepcabac: Plug & Play Compression of Neural Network Weights and Weight Updates. ICIP 2020: 21-25 - [i8]Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand:
Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements. CoRR abs/2004.11841 (2020)
2010 – 2019
- 2019
- [i7]Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek:
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression. CoRR abs/1905.08318 (2019) - [i6]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:
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks. CoRR abs/1907.11900 (2019) - [i5]Christopher J. Anders, Talmaj Marinc, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin:
Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed. CoRR abs/1912.11425 (2019) - 2018
- [j3]David Neumann, Michael Joham, Wolfgang Utschick:
Covariance Matrix Estimation in Massive MIMO. IEEE Signal Process. Lett. 25(6): 863-867 (2018) - [j2]David Neumann, Thomas Wiese, Wolfgang Utschick:
Learning the MMSE Channel Estimator. IEEE Trans. Signal Process. 66(11): 2905-2917 (2018) - [j1]David Neumann, Thomas Wiese, Michael Joham, Wolfgang Utschick:
A Bilinear Equalizer for Massive MIMO Systems. IEEE Trans. Signal Process. 66(14): 3740-3751 (2018) - [c10]Michael Koller, Christoph Hellings, Michael Knoedlseder, Thomas Wiese, David Neumann, Wolfgang Utschick:
Machine Learning for Channel Estimation from Compressed Measurements. ISWCS 2018: 1-5 - 2017
- [c9]David Neumann, Kamel Shibli, Michael Joham, Wolfgang Utschick:
Joint covariance matrix estimation and pilot allocation in massive MIMO systems. ICC 2017: 1-6 - [c8]David Neumann, Thomas Wiese, Wolfgang Utschick:
Deep Channel Estimation. WSA 2017: 1-6 - [i4]David Neumann, Michael Joham, Wolfgang Utschick:
Covariance Matrix Estimation in Massive MIMO. CoRR abs/1705.02895 (2017) - [i3]David Neumann, Thomas Wiese, Wolfgang Utschick:
Learning the MMSE Channel Estimator. CoRR abs/1707.05674 (2017) - [i2]David Neumann, Thomas Wiese, Michael Joham, Wolfgang Utschick:
A Generalized Matched Filter Framework for Massive MIMO Systems. CoRR abs/1707.09940 (2017) - 2016
- [c7]David Neumann, Andreas Gründinger, Michael Joham, Wolfgang Utschick:
CDI Rate-balancing with Per-base-station Constraints. WSA 2016: 1-6 - [c6]Samuele Zoppi, Michael Joham, David Neumann, Wolfgang Utschick:
Pilot Coordination in CDI Precoded Massive MIMO Systems. WSA 2016: 1-7 - 2015
- [c5]David Neumann, Andreas Gründinger, Michael Joham, Wolfgang Utschick:
Rate-balancing in massive MIMO using statistical precoding. SPAWC 2015: 226-230 - [c4]David Neumann, Michael Joham, Lorenz Weiland, Wolfgang Utschick:
Low-Complexity Computation of LMMSE Channel Estimates in Massive MIMO. WSA 2015: 1-6 - [i1]David Neumann, Michael Joham, Wolfgang Utschick:
Channel Estimation in Massive MIMO Systems. CoRR abs/1503.08691 (2015) - 2014
- [c3]David Neumann, Andreas Gründinger, Michael Joham, Wolfgang Utschick:
On the amount of training in coordinated massive MIMO systems. SAM 2014: 293-296 - [c2]David Neumann, Michael Joham, Wolfgang Utschick:
Suppression of pilot-contamination in massive MIMO systems. SPAWC 2014: 11-15 - [c1]David Neumann, Andreas Gründinger, Michael Joham, Wolfgang Utschick:
Pilot Coordination for Large-Scale Multi-Cell TDD Systems. WSA 2014: 1-6
Coauthor Index
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