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Geoffrey Irving
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Year
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2016
249202016
Tensorflow: a system for large-scale machine learning.
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
Osdi 16 (2016), 265-283, 2016
204252016
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
6262015
Invertible finite elements for robust simulation of large deformation
G Irving, J Teran, R Fedkiw
Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer …, 2004
4792004
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467 14, 2016
2832016
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
2612015
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
2602021
Robust quasistatic finite elements and flesh simulation
J Teran, E Sifakis, G Irving, R Fedkiw
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer …, 2005
2492005
Efficient simulation of large bodies of water by coupling two and three dimensional techniques
G Irving, E Guendelman, F Losasso, R Fedkiw
ACM SIGGRAPH 2006 Papers, 805-811, 2006
2262006
Fine-tuning language models from human preferences
DM Ziegler, N Stiennon, J Wu, TB Brown, A Radford, D Amodei, ...
arXiv preprint arXiv:1909.08593, 2019
2212019
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
1982016
Reward learning from human preferences and demonstrations in atari
B Ibarz, J Leike, T Pohlen, G Irving, S Legg, D Amodei
Advances in neural information processing systems 31, 2018
1852018
Improving language models by retrieving from trillions of tokens
S Borgeaud, A Mensch, J Hoffmann, T Cai, E Rutherford, K Millican, ...
International conference on machine learning, 2206-2240, 2022
1722022
A quantized-diffusion model for rendering translucent materials
E d'Eon, G Irving
ACM transactions on graphics (TOG) 30 (4), 1-14, 2011
1712011
Hybrid simulation of deformable solids
E Sifakis, T Shinar, G Irving, R Fedkiw
Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer …, 2007
1692007
Robust high-resolution cloth using parallelism, history-based collisions, and accurate friction
A Selle, J Su, G Irving, R Fedkiw
IEEE transactions on visualization and computer graphics 15 (2), 339-350, 2008
1632008
Deep network guided proof search
S Loos, G Irving, C Szegedy, C Kaliszyk
arXiv preprint arXiv:1701.06972, 2017
1622017
Volume conserving finite element simulations of deformable models
G Irving, C Schroeder, R Fedkiw
ACM Transactions on Graphics (TOG) 26 (3), 13-es, 2007
1522007
Ethical and social risks of harm from language models
L Weidinger, J Mellor, M Rauh, C Griffin, J Uesato, PS Huang, M Cheng, ...
arXiv preprint arXiv:2112.04359, 2021
1462021
Melting and burning solids into liquids and gases
F Losasso, G Irving, E Guendelman, R Fedkiw
IEEE Transactions on Visualization and Computer Graphics 12 (3), 343-352, 2006
1402006
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