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Aryan Musharaf

2 accepted papers

2025

SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries

NeurIPS 2025poster

The growing adoption of machine learning models for biological sequences has intensified the need for interpretable predictions, with Shapley values emerging as a theoretically grounded standard for model explanation. While effective for local explanations of individual input sequences, scaling Shap…

Cited by 0SourcecodeScholar
2025

SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding

NeurIPS 2025spotlight

Autoregressive models have transformed protein engineering by enabling the generation of novel protein sequences beyond those found in nature. However, their sequential inference introduces significant latency, limiting their utility in high-throughput protein screening. Speculative decoding acceler…

Cited by 0SourceScholar