| 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 | 50244* | |
| 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 | 799 | 2018 |
| 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 | 731 | 2015 |
| 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 | 429 | 2017 |
| 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 | 376 | 2015 |
| Non‐Rigid Registration Under Isometric Deformations QX Huang, B Adams, M Wicke, LJ Guibas Computer Graphics Forum 27 (5), 1449-1457, 2008 | 372 | 2008 |
| 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 | 252 | 2019 |
| 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 | 244 | 2016 |
| 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 | 220 | 2010 |
| Adaptive space deformations based on rigid cells M Botsch, M Pauly, M Wicke, M Gross Computer Graphics Forum 26 (3), 339-347, 2007 | 199 | 2007 |
| 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 | 177 | 2008 |
| 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 | 169 | 2016 |
| A finite element method on convex polyhedra M Wicke, M Botsch, M Gross Computer Graphics Forum 26 (3), 355-364, 2007 | 155 | 2007 |
| 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 | 139 | 2013 |
| Modular bases for fluid dynamics M Wicke, M Stanton, A Treuille ACM Transactions on Graphics (TOG) 28 (3), 1-8, 2009 | 136 | 2009 |
| Shape decomposition using modal analysis QX Huang, M Wicke, B Adams, L Guibas Computer Graphics Forum 28 (2), 407-416, 2009 | 104 | 2009 |
| 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 | 100 | 2009 |
| & 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 | 86 | |
| 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 | 74 | 2010 |
| Interactive 3D Painting on Point-Sampled Objects. B Adams, M Wicke, P Dutré, MH Gross, M Pauly, M Teschner PBG, 57-66, 2004 | 62 | 2004 |
