Aaron Kirtland

According to our database, Aaron Kirtland authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

REBUS: A Robust Evaluation Benchmark of Understanding Symbols.

Andrew Gritsevskiy, Arjun Panickssery, Aaron Kirtland, Derik Kauffman, Hans Gundlach, Irina Gritsevskaya, Joe Cavanagh, Jonathan Chiang, Lydia La Roux, Michelle Hung

CoRR, 2024

Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy.

Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

An Unstructured Mesh Approach to Nonlinear Noise Reduction for Coupled Systems.

Aaron Kirtland, Jonah Botvinick-Greenhouse, Marianne Debrito, Megan Osborne, Casey Johnson, Robert Scott Martin, Samuel J. Araki, Daniel Eckhardt

SIAM J. Appl. Dyn. Syst., December, 2023

Inverse Scaling: When Bigger Isn't Better.

Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez

Trans. Mach. Learn. Res., 2023

2022

The polynomial learning with errors problem and the smearing condition.

Liljana Babinkostova, Ariana Chin, Aaron Kirtland, Vladyslav Nazarchuk, Esther Plotnick

J. Math. Cryptol., 2022