no code implementations • 1 May 2024 • Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, Will Song, Tiffany Zhao, Pranav Raja, Dylan Slack, Qin Lyu, Sean Hendryx, Russell Kaplan, Michele, Lunati, Summer Yue
Large language models (LLMs) have achieved impressive success on many benchmarks for mathematical reasoning.
no code implementations • 22 Jan 2024 • Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean Lee
We present a general class of machine learning algorithms called parametric matrix models.
no code implementations • 4 Dec 2021 • Amber Boehnlein, Markus Diefenthaler, Cristiano Fanelli, Morten Hjorth-Jensen, Tanja Horn, Michelle P. Kuchera, Dean Lee, Witold Nazarewicz, Kostas Orginos, Peter Ostroumov, Long-Gang Pang, Alan Poon, Nobuo Sato, Malachi Schram, Alexander Scheinker, Michael S. Smith, Xin-Nian Wang, Veronique Ziegler
Advances in machine learning methods provide tools that have broad applicability in scientific research.
no code implementations • 28 Jul 2021 • Avik Sarkar, Dean Lee
The key ingredient is a fast estimate of the emulator error that becomes progressively more accurate as the emulator is improved, and the accuracy of the error estimate can be corrected using machine learning.