2 citations · 4 across the 3 of their papers we have counts for
3 papers
Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebycheff Scalarization
Aadyot Bhatnagar, Peter Mørch Groth, Ali Madani +1
Large language models can be aligned with human preferences through offline reinforcement learning (RL) on small labeled datasets. While single-objective alignment is well-studied,…
Function-Guided Conditional Generation Using Protein Language Models with Adapters
Jason Yang, Aadyot Bhatnagar, Jeffrey A. Ruffolo +1
The conditional generation of proteins with desired functions is a key goal for generative models. Existing methods based on prompting of protein language models (PLMs) can generat…
Towards Joint Sequence-Structure Generation of Nucleic Acid and Protein Complexes with SE(3)-Discrete Diffusion
Alex Morehead, Jeffrey Ruffolo, Aadyot Bhatnagar +1
Generative models of macromolecules carry abundant and impactful implications for industrial and biomedical efforts in protein engineering. However, existing methods are currently…