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Martin Wicke
Martin Wicke
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Cited by
Year
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Software available from tensorflow. org, 0
51831*
Unsupervised learning of depth and ego-motion from monocular video using 3d geometric constraints
R Mahjourian, M Wicke, A Angelova
Proceedings of the IEEE conference on computer vision and pattern …, 2018
8152018
TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015)
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL https://www. tensorflow. org, 2015
7552015
Tfx: A tensorflow-based production-scale machine learning platform
D Baylor, E Breck, HT Cheng, N Fiedel, CY Foo, Z Haque, S Haykal, ...
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
4402017
TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015
3942015
Non‐Rigid Registration Under Isometric Deformations
QX Huang, B Adams, M Wicke, LJ Guibas
Computer Graphics Forum 27 (5), 1449-1457, 2008
3762008
TensorFlow: Large-scale machine learning on heterogeneous systems (2015), software available from tensorflow. org
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL https://www. tensorflow. org, 2019
2612019
12th USENIX symposium on operating systems design and implementation (OSDI 16)
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
Savannah, GA, 265-283, 2016
2532016
Dynamic local remeshing for elastoplastic simulation
M Wicke, D Ritchie, BM Klingner, S Burke, JR Shewchuk, JF O'Brien
ACM Transactions on graphics (TOG) 29 (4), 1-11, 2010
2202010
Adaptive space deformations based on rigid cells
M Botsch, M Pauly, M Wicke, M Gross
Computer Graphics Forum 26 (3), 339-347, 2007
2012007
Polyhedral finite elements using harmonic basis functions
S Martin, P Kaufmann, M Botsch, M Wicke, M Gross
Computer graphics forum 27 (5), 1521-1529, 2008
1782008
Tensorflow: A system for large-scale machine learning
PB Mart'in Abadi, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th USENIX symposium on operating systems design and implementation (OSDI …, 2016
1702016
A finite element method on convex polyhedra
M Wicke, M Botsch, M Gross
Computer Graphics Forum 26 (3), 355-364, 2007
1572007
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
1412023
Simulating liquids and solid-liquid interactions with lagrangian meshes
P Clausen, M Wicke, JR Shewchuk, JF O'brien
ACM Transactions on Graphics (TOG) 32 (2), 1-15, 2013
1402013
Modular bases for fluid dynamics
M Wicke, M Stanton, A Treuille
ACM Transactions on Graphics (TOG) 28 (3), 1-8, 2009
1362009
Shape decomposition using modal analysis
QX Huang, M Wicke, B Adams, L Guibas
Computer Graphics Forum 28 (2), 407-416, 2009
1052009
Predictive QoS routing to mobile sinks in wireless sensor networks
B Kusy, HJ Lee, M Wicke, N Milosavljevic, L Guibas
2009 International Conference on Information Processing in Sensor Networks …, 2009
1012009
& Zheng, X.(2016). Tensorflow: A system for large-scale machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th {USENIX} symposium on operating systems design and implementation …, 0
94
Data stashing: energy-efficient information delivery to mobile sinks through trajectory prediction
HJ Lee, M Wicke, B Kusy, O Gnawali, L Guibas
Proceedings of the 9th ACM/IEEE International Conference on Information …, 2010
752010
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