3 papers
cs.LG2025
ProteinGuide: On-the-fly property guidance for protein sequence generative models
Junhao Xiong, Ishan Gaur, Maria Lukarska +4
Sequence generative models are transforming protein engineering. However, no principled framework exists for conditioning these models on auxiliary information, such as experimenta…
cs.LG2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff, Junhao Xiong, Stephan Allenspach +1
Generative models on discrete state-spaces have a wide range of potential applications, particularly in the domain of natural sciences. In continuous state-spaces, controllable and…
cs.LG2023
The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist
Jennifer Listgarten
Since ChatGPT works so well, are we on the cusp of solving science with AI? Is not AlphaFold2 suggestive that the potential of LLMs in biology and the sciences more broadly is limi…