Adam S. Jermyn

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Tree Decomposition

Training Algorithm

Predictive Model

Top Venues

Mach. Learn. Sci. Technol.

J. Comput. Phys.

Publications

Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam S. Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul F. Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. CoRR (2024)
Evan Hubinger, Adam S. Jermyn, Johannes Treutlein, Rubi Hudson, Kate Woolverton
Conditioning Predictive Models: Risks and Strategies. CoRR (2023)
Adam Scherlis, Kshitij Sachan, Adam S. Jermyn, Joe Benton, Buck Shlegeris
Polysemanticity and Capacity in Neural Networks. CoRR (2022)
Adam S. Jermyn, Nicholas Schiefer, Evan Hubinger
Engineering Monosemanticity in Toy Models. CoRR (2022)
Frank Schindler, Adam S. Jermyn
Algorithms for tensor network contraction ordering. Mach. Learn. Sci. Technol. 1 (3) (2020)
Frank Schindler, Adam S. Jermyn
Algorithms for Tensor Network Contraction Ordering. CoRR (2020)
Adam S. Jermyn
Efficient tree decomposition of high-rank tensors. J. Comput. Phys. 377 (2019)
Adam S. Jermyn
Efficient Decomposition of High-Rank Tensors. CoRR (2017)