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ORCIDMatthias Langer
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Journal Articles
- 2021
[j6]Ashley Hall, Brandon Victor
, Zhen He, Matthias Langer, Marc Elipot, Aiden Nibali, Stuart Morgan:
The detection, tracking, and temporal action localisation of swimmers for automated analysis. Neural Comput. Appl. 33(12): 7205-7223 (2021)- 2020
- [j5]Matthias Langer, Zhen He, Wenny Rahayu, Yanbo Xue:
Distributed Training of Deep Learning Models: A Taxonomic Perspective. IEEE Trans. Parallel Distributed Syst. 31(12): 2802-2818 (2020) - 2018
- [j4]Matthias Langer, Ashley Hall, Zhen He, Wenny Rahayu:
MPCA SGD - A Method for Distributed Training of Deep Learning Models on Spark. IEEE Trans. Parallel Distributed Syst. 29(11): 2540-2556 (2018) - 2013
- [j3]Jussi Behrndt, Matthias Langer, Vladimir Lotoreichik:
Trace formulae and singular values of resolvent power differences of self-adjoint elliptic operators. J. Lond. Math. Soc. 88(2): 319-337 (2013) - 2010
- [j2]B. Malcolm Brown, Matthias Langer, Marco Marletta, Christiane Tretter, Markus Wagenhofer:
Eigenvalue enclosures and exclosures for non-self-adjoint problems in hydrodynamics. LMS J. Comput. Math. 13: 65-81 (2010) - 2008
- [j1]Severin Todt, Matthias Langer, Christof Rezk-Salama, Andreas Kolb, Klaus-Dieter Kuhnert:
Spherical light field rendering in application for analysis by synthesis. Int. J. Intell. Syst. Technol. Appl. 5(3/4): 304-314 (2008)
Conference and Workshop Papers
- 2024
- [c7]Shijie Liu, Nan Zheng, Hui Kang, Xavier Simmons, Junjie Zhang, Matthias Langer, Wenjing Zhu, Minseok Lee, Zehuan Wang:
Embedding Optimization for Training Large-scale Deep Learning Recommendation Systems with EMBark. RecSys 2024: 622-632 - 2022
- [c6]Yingcan Wei, Matthias Langer, Fan Yu, Minseok Lee, Jie Liu, Ji Shi, Zehuan Wang:
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models. RecSys 2022: 408-419 - [c5]Zehuan Wang, Yingcan Wei, Minseok Lee, Matthias Langer, Fan Yu, Jie Liu, Shijie Liu, Daniel G. Abel, Xu Guo, Jianbing Dong, Ji Shi, Kunlun Li:
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. RecSys 2022: 534-537 - 2010
- [c4]Markus Ax, Lars Kuhnert, Matthias Langer, Jens Schlemper, Klaus-Dieter Kuhnert:
Architecture of an autonomous mini unmanned aerial vehicle based on a commercial platform. ISR/ROBOTIK 2010: 1-6 - 2009
- [c3]Lars Kuhnert, Markus Ax, Matthias Langer, Duong Nguyen Van, Klaus-Dieter Kuhnert:
Absolute High-Precision Localisation of an Unmanned Ground Vehicle by Using Real-Time Aerial Video Imagery for Geo-referenced Orthophoto Registration. AMS 2009: 145-152 - [c2]Matthias Langer, Lars Kuhnert, Markus Ax, Duong Nguyen Van, H. Schmick, Klaus-Dieter Kuhnert:
3D object recognition and localization employing analysis by synthesis. IADIS AC (1) 2009: 132-140 - 2008
- [c1]Matthias Langer, Klaus-Dieter Kuhnert:
A new hierarchical approach in robust real-time image feature detection and matching. ICPR 2008: 1-4
Informal and Other Publications
- 2024
- [i5]Victorita Dolean, Mark Fry, Ivan G. Graham, Matthias Langer:
Improvements to the theoretical estimates of the Schwarz preconditioner with Δ-GenEO coarse space for the indefinite Helmholtz problem. CoRR abs/2403.18378 (2024) - [i4]Victorita Dolean, Mark Fry, Ivan G. Graham, Matthias Langer:
Schwarz preconditioner with Hk-GenEO coarse space for the indefinite Helmholtz problem. CoRR abs/2406.06283 (2024) - 2022
- [i3]Joey Wang, Yingcan Wei, Minseok Lee, Matthias Langer, Fan Yu, Jie Liu, Alex Liu, Daniel G. Abel, Gems Guo, Jianbing Dong, Jerry Shi, Kunlun Li:
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. CoRR abs/2210.08803 (2022) - [i2]Yingcan Wei, Matthias Langer, Fan Yu, Minseok Lee, Kingsley Liu, Jerry Shi, Joey Wang:
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models. CoRR abs/2210.08804 (2022) - 2020
- [i1]Matthias Langer, Zhen He, Wenny Rahayu, Yanbo Xue:
Distributed Training of Deep Learning Models: A Taxonomic Perspective. CoRR abs/2007.03970 (2020)
Coauthor Index
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