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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
arXiv preprint arXiv:2202.05924, 2022
212022
Measuring what Really Matters: Optimizing Neural Networks for TinyML
L Heim, A Biri, Z Qu, L Thiele
arXiv preprint arXiv:2104.10645, 2021
122021
Parameter, compute and data trends in machine learning
J Sevilla, P Villalobos, JF Cerón, M Burtell, L Heim, AB Nanjajjar, A Ho, ...
2022-05-30]. https://docs. google. com/spreadsheets/d/1AAIebj …, 2021
32021
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 (1), 247-261, 2021
32021
Red-Teaming the Stable Diffusion Safety Filter
J Rando, D Paleka, D Lindner, L Heim, F Tramèr
arXiv preprint arXiv:2210.04610, 2022
12022
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
2022
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
2022
Compute Funds and Pre-trained Models
M Anderljung, L Heim, T Shevlane
https://www.governance.ai/post/compute-funds-and-pre-trained-models, 2022
2022
Playing Tetris Lets You Rate Odors as Less Intense
S Schadll, R Rodriguez-Raecke, L Heim, J Freiherr
Frontiers in Psychology 12, 2021
2021
Evaluation and Deployment of Resource-Constrained Machine Learning on Embedded Devices
L Heim
ETH Zurich, 2020
2020
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