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Geoffrey Irving
Geoffrey Irving
UK AI Safety Institute (AISI)
Verified email at naml.us - Homepage
Title
Cited by
Cited by
Year
TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
31598*2015
{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 (OSDI …, 2016
263582016
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
15482023
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
12132019
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
9592021
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
8902022
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
8092021
Tensorflow: A system for large-scale machine learning
A Martín, B Paul, C Jianmin, C Zhifeng, D Andy, D Jeffrey, D Matthieu, ...
12th USENIX symposium on operating systems design and implementation (OSDI …, 2016
5392016
TensorFlow: large-scale machine learning on heterogeneous distributed systems (2016)
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467 52, 2015
5222015
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
5132004
Taxonomy of risks posed by language models
L Weidinger, J Uesato, M Rauh, C Griffin, PS Huang, J Mellor, A Glaese, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
4722022
Red teaming language models with language models
E Perez, S Huang, F Song, T Cai, R Ring, J Aslanides, A Glaese, ...
arXiv preprint arXiv:2202.03286, 2022
4472022
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
3992018
Improving alignment of dialogue agents via targeted human judgements
A Glaese, N McAleese, M Trębacz, J Aslanides, V Firoiu, T Ewalds, ...
arXiv preprint arXiv:2209.14375, 2022
3942022
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. CoRR abs/1603.04467 (2016)
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2016
3302016
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, ...
2932019
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
2842005
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
2662016
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
2372006
Deep network guided proof search
S Loos, G Irving, C Szegedy, C Kaliszyk
arXiv preprint arXiv:1701.06972, 2017
2002017
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