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Amy Wang

2 accepted papers

2025

Concept Bottleneck Language Models For Protein Design

ICLR 2025poster

We introduce Concept Bottleneck Protein Language Models (CB-pLM), a generative masked language model with a layer where each neuron corresponds to an interpretable concept. Our architecture offers three key benefits: i) Control: We can intervene on concept values to precisely control the properties…

2025

Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design

ICLR 2025poster

Recent studies have demonstrated the strong empirical performance of diffusion models on discrete sequences (i.e., discrete diffusion models) across domains such as natural language and biological sequence generation. For example, in the protein inverse folding task, where the goal is to generate a…