2 code implementations • 26 Feb 2021 • Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner
Motivated by this application, we implement an iterative version of the SE(3)-Transformer, an SE(3)-equivariant attention-based model for graph data.
2 code implementations • 6 Jun 2019 • Justas Dauparas, Haobo Wang, Avi Swartz, Peter Koo, Mor Nitzan, Sergey Ovchinnikov
Revealing the functional sites of biological sequences, such as evolutionary conserved, structurally interacting or co-evolving protein sites, is a fundamental, and yet challenging task.
Quantitative Methods
no code implementations • 29 May 2018 • Justas Dauparas, Ryota Tomioka, Katja Hofmann
The question of how to explore, i. e., take actions with uncertain outcomes to learn about possible future rewards, is a key question in reinforcement learning (RL).