| 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 | 225 | 2022 |
| 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 | 86 | 2022 |
| Red-Teaming the Stable Diffusion Safety Filter J Rando, D Paleka, D Lindner, L Heim, F Tramèr ML Safety Workshop NeurIPS 2022, 2022 | 68 | 2022 |
| 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 | 37 | 2023 |
| 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 | 37 | 2022 |
| Measuring what Really Matters: Optimizing Neural Networks for TinyML L Heim, A Biri, Z Qu, L Thiele arXiv preprint arXiv:2104.10645, 2021 | 33 | 2021 |
| 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 | 15 | 2021 |
| 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 | 13 | 2022 |
| 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 | 8 | 2023 |
| Oversight for Frontier AI through a Know-Your-Customer Scheme for Compute Providers J Egan, L Heim arXiv preprint arXiv:2310.13625, 2023 | 6* | 2023 |
| Chinese firms are evading chip controls T Fist, L Heim, J Schneider Foreign Policy, 2023 | 5 | 2023 |
| Estimating PaLM’s training cost L Heim https://blog.heim.xyz/palm-training-cost/, 2022 | 5 | 2022 |
| Information security considerations for AI and the long term future J Ladish, L Heim https://blog.heim.xyz/information-security-considerations-for-ai/, 2022 | 4 | 2022 |
| 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 | 4* | 2022 |
| Trends in Machine Learning Hardware M Hobbhahn, L Heim, G Aydos https://epochai.org/blog/trends-in-machine-learning-hardware, 2023 | 3 | 2023 |
| 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 | 3 | 2021 |
| Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation L Heim, T Fist, J Egan, S Huang, S Zekany, R Trager, MA Osborne, ... arXiv preprint arXiv:2403.08501, 2024 | 2 | 2024 |
| Computing Power and the Governance of Artificial Intelligence G Sastry, L Heim, H Belfield, M Anderljung, M Brundage, J Hazell, ... arXiv preprint arXiv:2402.08797, 2024 | 2 | 2024 |
| Hardware-Enabled Governance Mechanisms: Developing Technical Solutions to Exempt Items Otherwise Classified Under Export Control Classification Numbers 3A090 and 4A090 G Kulp, P Puri, D Gonzales, MJD Vermeer, E Smith, L Heim, Z Winkelman RAND Corporation, 2024 | 2 | 2024 |
| The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny? T Besiroglu, SA Bergerson, A Michael, L Heim, X Luo, N Thompson arXiv preprint arXiv:2401.02452, 2024 | 2 | 2024 |
Tamay BesirogluMITVerified email at mit.edu
