Aman Patel — accepted AI-conference papers

2024

DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA

Aman Patel, Arpita Singhal, Austin Wang, Anusri Pampari, Maya Kasowski, Anshul Kundaje

NeurIPS 2024poster

Recent advances in self-supervised models for natural language, vision, and protein sequences have inspired the development of large genomic DNA language models (DNALMs). These models aim to learn generalizable representations of diverse DNA elements, potentially enabling various genomic prediction,…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗

2023

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

Eric Nguyen, Michael Poli, Marjan Faizi, Armin W Thomas, Michael Wornow, Callum Birch-Sykes +7

NeurIPS 2023spotlight

Genomic (DNA) sequences encode an enormous amount of information for gene regulation and protein synthesis. Similar to natural language models, researchers have proposed foundation models in genomics to learn generalizable features from unlabeled genome data that can then be fine-tuned for downstrea…

Cited by 312 Source ↗PDF ↗code ↗Scholar ↗