1 code implementation • 21 Jan 2025 • Kevin Ta, Patrick Foley, Mattson Thieme, Abhishek Pandey, Prashant Shah
The federated model achieves comparable performance with a model trained on centralized data when evaluating the uniqueness and validity of the generated molecules.
no code implementations • 28 Dec 2023 • Chenwei Xu, Jerry Yao-Chieh Hu, Aakaash Narayanan, Mattson Thieme, Vladimir Nagaslaev, Mark Austin, Jeremy Arnold, Jose Berlioz, Pierrick Hanlet, Aisha Ibrahim, Dennis Nicklaus, Jovan Mitrevski, Jason Michael St. John, Gauri Pradhan, Andrea Saewert, Kiyomi Seiya, Brian Schupbach, Randy Thurman-Keup, Nhan Tran, Rui Shi, Seda Ogrenci, Alexis Maya-Isabelle Shuping, Kyle Hazelwood, Han Liu
We introduce a novel Proximal Policy Optimization (PPO) algorithm aimed at addressing the challenge of maintaining a uniform proton beam intensity delivery in the Muon to Electron Conversion Experiment (Mu2e) at Fermi National Accelerator Laboratory (Fermilab).
no code implementations • 29 Sep 2021 • Mattson Thieme, Ammar Gilani, Han Liu
In this work, we introduce a general methodology for approximating offline algorithms in online settings.