Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Reconstructing Complex Cardiac Excitation Waves From Incomplete Data Using Echo State Networks and Convolutional Autoencoders.

S. Herzog, R. Zimmermann, J. Abele, S. Luther, and U. Parlitz. Frontiers Appl. Math. Stat., (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Roland Zimmermann

Other publications of authors with the same name

Sensitivity of Slot-Based Object-Centric Models to their Number of Slots.R. Zimmermann, S. van Steenkiste, M. Sajjadi, T. Kipf, and K. Greff. CoRR, (2023)Scale Alone Does not Improve Mechanistic Interpretability in Vision Models.R. Zimmermann, T. Klein, and W. Brendel. CoRR, (2023)Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations.J. Borowski, R. Zimmermann, J. Schepers, R. Geirhos, T. Wallis, M. Bethge, and W. Brendel. CoRR, (2020)Increasing the robustness of DNNs against image corruptions by playing the Game of Noise.E. Rusak, L. Schott, R. Zimmermann, J. Bitterwolf, O. Bringmann, M. Bethge, and W. Brendel. CoRR, (2020)How Well do Feature Visualizations Support Causal Understanding of CNN Activations?R. Zimmermann, J. Borowski, R. Geirhos, M. Bethge, T. Wallis, and W. Brendel. NeurIPS, page 11730-11744. (2021)Increasing Confidence in Adversarial Robustness Evaluations.R. Zimmermann, W. Brendel, F. Tramèr, and N. Carlini. NeurIPS, (2022)A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions.E. Rusak, L. Schott, R. Zimmermann, J. Bitterwolf, O. Bringmann, M. Bethge, and W. Brendel. ECCV (3), volume 12348 of Lecture Notes in Computer Science, page 53-69. Springer, (2020)Contrastive Learning Inverts the Data Generating Process.R. Zimmermann, Y. Sharma, S. Schneider, M. Bethge, and W. Brendel. ICML, volume 139 of Proceedings of Machine Learning Research, page 12979-12990. PMLR, (2021)Faster training of Mask R-CNN by focusing on instance boundaries.R. Zimmermann, and J. Siems. Comput. Vis. Image Underst., (2019)Reconstructing Complex Cardiac Excitation Waves From Incomplete Data Using Echo State Networks and Convolutional Autoencoders.S. Herzog, R. Zimmermann, J. Abele, S. Luther, and U. Parlitz. Frontiers Appl. Math. Stat., (2020)

BibSonomy

Disambiguation of "Zimmermann, Roland S."

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Reconstructing Complex Cardiac Excitation Waves From Incomplete Data Using Echo State Networks and Convolutional Autoencoders.

Please choose a person to relate this publication to

Roland Zimmermann

Roland Zimmermann

Roland Zimmermann

Roland Zimmermann

Roland Zimmermann

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zimmermann, Roland S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Reconstructing Complex Cardiac Excitation Waves From Incomplete Data Using Echo State Networks and Convolutional Autoencoders.

Please choose a person to relate this publication to

Roland Zimmermann

Roland Zimmermann

Roland Zimmermann

Roland Zimmermann

Roland Zimmermann

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
MSOffice XML

Reconstructing Complex Cardiac Excitation Waves From Incomplete Data Using Echo State Networks and Convolutional Autoencoders.