Nikolaus H. R. Howe

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Joar SkalseDPhil Student in Computer Science, Oxford UniversityVerified email at cs.ox.ac.uk
David Scott KruegerUniversity Assistant Professor, University of CambridgeVerified email at cam.ac.uk
Dmitrii KrasheninnikovUniversity of CambridgeVerified email at cam.ac.uk
Pierre-Luc BaconUniversity of MontrealVerified email at mila.quebec
Adam GleaveCEO at FAR AIVerified email at far.ai
Nitarshan RajkumarUniversity of CambridgeVerified email at cam.ac.uk
Ian R McKenzieResearch Engineer, FAR AIVerified email at far.ai
Michał ZającSnowflakeVerified email at snowflake.com
Tom TsengFAR AIVerified email at far.ai

Nikolaus H. R. Howe

PhD student, Mila, Université de Montréal

Verified email at mila.quebec - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Defining and characterizing reward gaming J Skalse, N Howe, D Krasheninnikov, D Krueger Advances in Neural Information Processing Systems 35, 9460-9471, 2022	207	2022
Myriad: a real-world testbed to bridge trajectory optimization and deep learning N Howe, S Dufort-Labbé, N Rajkumar, PL Bacon Advances in Neural Information Processing Systems 35, 29801-29815, 2022	4	2022
Exploring scaling trends in llm robustness NHR Howe, M Zając, IR McKenzie, OJ Hollinsworth, PL Bacon, A Gleave ICML 2024 Next Generation of AI Safety Workshop, 2024	3	2024
Effects of Scale on Language Model Robustness N Howe, I McKenzie, O Hollinsworth, M Zajac, T Tseng, A Tucker, ... arXiv preprint arXiv:2407.18213, 2024		2024
Learning neural ordinary differential equations for optimal control NHR Howe		2022

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