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Estimating Information Flow in Deep Neural Networks.

Z. Goldfeld, E. van den Berg, K. Greenewald, I. Melnyk, N. Nguyen, B. Kingsbury, and Y. Polyanskiy. ICML, volume 97 of Proceedings of Machine Learning Research, page 2299-2308. PMLR, (2019)

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Nina van den Daele University of Stuttgart

Jan Denzel University of Stuttgart

Distributed Electric Propulsion for Yaw Control : Testbeds, Control Approach, and Flight TestingO. Pfeifle, M. Frangenberg, S. Notter, J. Denzel, D. Bergmann, J. Schneider, W. Scholz, W. Fichter, and A. Strohmayer. AIAA Aviation 2021 Forum, page 3192. American Institute of Aeronautics and Astronautics, (2021)

Dominique Paul Bergmann University of Stuttgart

Jan Vanvinkenroye University of Stuttgart

The Effectiveness of Online-Laboratories for Understanding PhysicsD. Boehringer, and J. Vanvinkenroye. Online Engineering & Internet of Things : proceedings of the 14th International Conference on Remote Engineering and Virtual Instrumentation REV 2017, 22, page 459-465. Cham, Springer, (2018)

Michaela Denzel University of Stuttgart

Other publications of authors with the same name

The Ocean Tensor Package.E. van den Berg. CoRR, (2018)Training variance and performance evaluation of neural networks in speech.E. van den Berg, B. Ramabhadran, and M. Picheny. CoRR, (2016)Lower bounds for quantized matrix completion.M. Wootters, Y. Plan, M. Davenport, and E. van den Berg. ISIT, page 296-300. IEEE, (2013)Estimating Information Flow in Neural Networks.Z. Goldfeld, E. van den Berg, K. Greenewald, I. Melnyk, N. Nguyen, B. Kingsbury, and Y. Polyanskiy. CoRR, (2018)Dictionary-based pitch tracking with dynamic programming.E. van den Berg, and B. Ramabhadran. INTERSPEECH, page 1347-1351. ISCA, (2014)Semi-discrete Matrix-Free Formulation of 3D Elastic Full Waveform Inversion Modeling.S. Moore, D. Chunduri, S. Zhuk, T. Tchrakian, E. van den Berg, A. Akhriev, A. Jr., A. Rawlinson, and L. Horesh. Euro-Par, volume 9233 of Lecture Notes in Computer Science, page 507-518. Springer, (2015)Algorithm 890: Sparco: A Testing Framework for Sparse Reconstruction.E. van den Berg, M. Friedlander, G. Hennenfent, F. Herrmann, R. Saab, and Ö. Yilmaz. ACM Trans. Math. Softw., 35 (4): 29:1-29:16 (2009)Estimating Information Flow in Deep Neural Networks.Z. Goldfeld, E. van den Berg, K. Greenewald, I. Melnyk, N. Nguyen, B. Kingsbury, and Y. Polyanskiy. ICML, volume 97 of Proceedings of Machine Learning Research, page 2299-2308. PMLR, (2019)Joint-sparse recovery from multiple measurementsE. van den Berg, and M. Friedlander. CoRR, (2009)1-Bit Matrix CompletionM. Davenport, Y. Plan, E. van den Berg, and M. Wootters. CoRR, (2012)

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Disambiguation of "van den Berg, Ewout"

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Estimating Information Flow in Deep Neural Networks.

Please choose a person to relate this publication to

Nina van den Daele University of Stuttgart

Jan Denzel University of Stuttgart

Dominique Paul Bergmann University of Stuttgart

Jan Vanvinkenroye University of Stuttgart

Michaela Denzel University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "van den Berg, Ewout"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Estimating Information Flow in Deep Neural Networks.

Please choose a person to relate this publication to

Nina van den Daele University of Stuttgart

Jan Denzel University of Stuttgart

Dominique Paul Bergmann University of Stuttgart

Jan Vanvinkenroye University of Stuttgart

Michaela Denzel University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Estimating Information Flow in Deep Neural Networks.