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ORCIDStefan Braun
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Stefan Braun 0001 — University of Kaiserslautern, Germany
- Stefan Braun 0002 — University of Basel, Switzerland
- Stefan Braun 0003 — Robert Bosch GmbH, Germany (and 1 more)
- Stefan Braun 0004 — University of Munich, Germany
- Stefan Braun 0005 — ETH Zurich, Switzerland
- Stefan Braun 0006 — University of Karlsruhe, Germany
- Stefan Braun 0007
![[0000-0001-9159-8818]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9159-8818")
— RWTH Aachen University, Aachen, Germany
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Journal Articles
- 2024
[j2]Markus Kaczvinszki, Stefan Braun:
Moving Singularities of the Forced Fisher-KPP Equation: An Asymptotic Approach. SIAM J. Appl. Math. 84(2): 710-731 (2024)- 2019
- [j1]Binish Tanveer, Anna Maria Vollmer, Stefan Braun, Nauman Bin Ali:
An evaluation of effort estimation supported by change impact analysis in agile software development. J. Softw. Evol. Process. 31(5) (2019)
Conference and Workshop Papers
- 2023
- [c5]Stefan Braun, Erik McDermott, Roger Hsiao:
Neural Transducer Training: Reduced Memory Consumption with Sample-Wise Computation. ICASSP 2023: 1-5 - [c4]Pawel Swietojanski, Stefan Braun, Dogan Can, Thiago Fraga da Silva, Arnab Ghoshal, Takaaki Hori, Roger Hsiao, Henry Mason, Erik McDermott, Honza Silovsky, Ruchir Travadi, Xiaodan Zhuang:
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition. ICASSP 2023: 1-5 - [c3]Maurits J. R. Bleeker, Pawel Swietojanski, Stefan Braun, Xiaodan Zhuang:
Approximate Nearest Neighbour Phrase Mining for Contextual Speech Recognition. INTERSPEECH 2023: 939-943 - 2021
- [c2]Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. ICASSP 2021: 4040-4044 - 2018
- [c1]Binish Tanveer, Anna Maria Vollmer, Stefan Braun:
A hybrid methodology for effort estimation in Agile development: an industrial evaluation. ICSSP 2018: 21-30
Informal and Other Publications
- 2023
- [i8]Maurits J. R. Bleeker, Pawel Swietojanski, Stefan Braun, Xiaodan Zhuang:
Approximate Nearest Neighbour Phrase Mining for Contextual Speech Recognition. CoRR abs/2304.08862 (2023) - 2022
- [i7]Joscha Grüger, Tobias Geyer, Martin Kuhn, Stefan Braun, Ralph Bergmann:
Declarative Guideline Conformance Checking of Clinical Treatments: A Case Study. CoRR abs/2209.09535 (2022) - [i6]Thien Nguyen, Nathalie Tran, Liuhui Deng, Thiago Fraga da Silva, Matthew Radzihovsky, Roger Hsiao, Henry Mason, Stefan Braun, Erik McDermott, Dogan Can, Pawel Swietojanski, Lyan Verwimp, Sibel Oyman, Tresi Arvizo, Honza Silovsky, Arnab Ghoshal, Mathieu Martel, Bharat Ram Ambati, Mohamed Ali:
Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation. CoRR abs/2210.12214 (2022) - [i5]Pawel Swietojanski, Stefan Braun, Dogan Can, Thiago Fraga da Silva, Arnab Ghoshal, Takaaki Hori, Roger Hsiao, Henry Mason, Erik McDermott, Honza Silovsky, Ruchir Travadi, Xiaodan Zhuang:
Variable Attention Masking for Configurable Transformer Transducer Speech Recognition. CoRR abs/2211.01438 (2022) - [i4]Stefan Braun, Erik McDermott, Roger Hsiao:
Neural Transducer Training: Reduced Memory Consumption with Sample-wise Computation. CoRR abs/2211.16270 (2022) - 2021
- [i3]Jan Pennekamp, Erik Buchholz, Markus Dahlmanns, Ike Kunze, Stefan Braun, Eric Wagner, Matthias Brockmann, Klaus Wehrle, Martin Henze:
Collaboration is not Evil: A Systematic Look at Security Research for Industrial Use. CoRR abs/2112.11417 (2021) - 2020
- [i2]Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel:
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. CoRR abs/2011.01156 (2020) - 2018
- [i1]Stefan Braun:
LSTM Benchmarks for Deep Learning Frameworks. CoRR abs/1806.01818 (2018)
Coauthor Index
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