Steered generation for protein optimization: On datasets with ~10^2 measurements, steering a discrete diffusion model outperforms RL on a protein language model for generating improved variants. @jsunn-y.bsky.social @francesarnold.bsky.social @yisongyue.bsky.social arxiv.org/abs/2505.15093
Jason Yang
@jsunn-y.bsky.social
PhD Candidate @Caltech studying ML for protein engineering https://jsunn-y.github.io
Happy to share that our work on Active Learning-Assisted Directed Evolution is now published in @naturecomms.bsky.social! Paper: www.nature.com/articles/s41... Check out the original thread here: x.com/jsunn_y/stat...
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Come visit our CARE benchmarks poster today at 11-2pm! (West Ballroom #5205)
I’m at NeurIPS this week presenting two of my recent projects! Enzyme function classification (CARE) benchmarks: Friday 11-2pm West Ballroom #5205 @caltech.edu Conditional generation from protein language models (ProCALM): Sunday at MLSB Workshop @Profluent Please come say hi!
I’m at NeurIPS this week presenting two of my recent projects! Enzyme function classification (CARE) benchmarks: Friday 11-2pm West Ballroom #5205 @caltech.edu Conditional generation from protein language models (ProCALM): Sunday at MLSB Workshop @Profluent Please come say hi!