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Lennart Heim
Lennart Heim
Centre for the Governance of AI
Verified email at governance.ai - Homepage
Title
Cited by
Cited by
Year
Compute trends across three eras of machine learning
J Sevilla, L Heim, A Ho, T Besiroglu, M Hobbhahn, P Villalobos
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
1562022
Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
P Villalobos, J Sevilla, L Heim, T Besiroglu, M Hobbhahn, A Ho
arXiv preprint arXiv:2211.04325, 2022
432022
Red-Teaming the Stable Diffusion Safety Filter
J Rando, D Paleka, D Lindner, L Heim, F Tramèr
ML Safety Workshop NeurIPS 2022, 2022
322022
Measuring what Really Matters: Optimizing Neural Networks for TinyML
L Heim, A Biri, Z Qu, L Thiele
arXiv preprint arXiv:2104.10645, 2021
302021
Machine learning model sizes and the parameter gap
P Villalobos, J Sevilla, T Besiroglu, L Heim, A Ho, M Hobbhahn
arXiv preprint arXiv:2207.02852, 2022
202022
Towards best practices in AGI safety and governance: A survey of expert opinion
J Schuett, N Dreksler, M Anderljung, D McCaffary, L Heim, E Bluemke, ...
arXiv preprint arXiv:2305.07153, 2023
162023
Parameter, Compute and Data Trends in Machine Learning
J Sevilla, P Villalobos, JF Cerón, M Burtell, L Heim, AB Nanjajjar, A Ho, ...
https://epochai.org/data/mlinputs, 2021
122021
Estimating training compute of Deep Learning models
J Sevilla, L Heim, A Ho, M Hobbhahn, T Besiroglu, P Villalobos
https://epochai.org/blog/estimating-training-compute, 2022
72022
Estimating PaLM’s training cost
L Heim
https://blog.heim.xyz/palm-training-cost/, 2022
52022
International Governance of Civilian AI: A Jurisdictional Certification Approach
R Trager, B Harack, A Reuel, A Carnegie, L Heim, L Ho, S Kreps, R Lall, ...
Oxford Martin AI Governance Initiative Report, 2023
42023
Some like it, some do not: behavioral responses and central processing of olfactory–trigeminal mixture perception
FS Müschenich, T Sichtermann, ME Di Francesco, R Rodriguez-Raecke, ...
Brain Structure and Function 226, 247-261, 2021
32021
Information security considerations for AI and the long term future
J Ladish, L Heim
https://blog.heim.xyz/information-security-considerations-for-ai/, 2022
22022
Compute Funds and Pre-trained Models
M Anderljung, L Heim, T Shevlane
https://www.governance.ai/post/compute-funds-and-pre-trained-models 13, 2022
1*2022
Compute at Scale--A Broad Investigation into the Data Center Industry
K Pilz, L Heim
arXiv preprint arXiv:2311.02651, 2023
2023
Trends in Machine Learning Hardware
M Hobbhahn, L Heim, G Aydos
https://epochai.org/blog/trends-in-machine-learning-hardware, 2023
2023
Oversight for Frontier AI through a Know-Your-Customer Scheme for Compute Providers
J Egan, L Heim
arXiv preprint arXiv:2310.13625, 2023
2023
What Should the Global Summit on AI Safety Try to Accomplish?
B Garfinkel, L Heim
https://www.governance.ai/post/what-should-the-global-summit-on-ai-safety …, 2023
2023
National Priorities for Artificial Intelligence (Response to the OSTP Request for Information)
J Schuett, M Anderljung, L Heim, E Seger
https://www.governance.ai/research-paper/national-priorities-for-artificial …, 2023
2023
Response to the NTIA AI Accountability Policy
E Thornton, J Schuett, M Anderljung, L Heim
https://www.governance.ai/research-paper/response-to-the-ntia-ai …, 2023
2023
Response to the UK's Future of Compute Review
J Whittlestone, S Avin, L Heim, M Anderljung, G Sastry
https://www.governance.ai/research-paper/response-to-the-uks-future-of …, 2023
2023
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