Inverse Protein Folding Using Deep Bayesian Optimization

no code implementations • 25 May 2023 • Natalie Maus, Yimeng Zeng, Daniel Allen Anderson, Phillip Maffettone, Aaron Solomon, Peyton Greenside, Osbert Bastani, Jacob R. Gardner

Furthermore, it is challenging to adapt pure generative approaches to other settings, e. g., when constraints exist.

Bayesian Optimization Protein Folding

Learning Performance-Improving Code Edits

2 code implementations • 15 Feb 2023 • Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob Gardner, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh

Next, we propose a broad range of adaptation strategies for code optimization; for prompting, these include retrieval-based few-shot prompting and chain-of-thought, and for finetuning, these include performance-conditioned generation and synthetic data augmentation based on self-play.

Code Generation Code Repair +2

Cyclical Kernel Adaptive Metropolis

1 code implementation • 29 Jun 2022 • Jianan Canal Li, Yimeng Zeng, Wentao Guo

We propose cKAM, cyclical Kernel Adaptive Metropolis, which incorporates a cyclical stepsize scheme to allow control for exploration and sampling.