Author

Sarwan Ali

Georgia State University

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#machine learning Preprint Dec 2025

When do cheap embeddings beat protein language models? A theoretically-grounded hashing sketch for biological sequence classification

Murmur2Vec is introduced, an alignment-free, training-free embedding that aggregates k-mer counts into a small hash table via the deterministic MurmurHash function, and it is cast as a randomized sketch of the classical $k-mer spectrum kernel.

Sarwan Ali, T. Murad, Imdadullah Khan et al. · 0 citations

Preprint Jul 2026

Causal dictionary learning reveals and validates transcription-factor binding features in genomic language models

A framework that combines sparse dictionary learning with causal intervention to extract, validate, and causally test interpretable features in genomic foundation models is introduced, and a reusable standard for interpretability claims in genomic deep learning is provided.

Sarwan Ali · 0 citations