8 citations · 9 across the 4 of their papers we have counts for
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cs.LG2025
Open-weight genome language model safeguards: Assessing robustness via adversarial fine-tuning
James R. M. Black, Moritz S. Hanke, Aaron Maiwald +3
Novel deep learning architectures are increasingly being applied to biological data, including genetic sequences. These models, referred to as genomic language models (gLMs), have…
cs.LG2021
Deep metric learning improves lab of origin prediction of genetically engineered plasmids
Igor M. Soares, Fernando H. F. Camargo, Adriano Marques +1
Genome engineering is undergoing unprecedented development and is now becoming widely available. To ensure responsible biotechnology innovation and to reduce misuse of engineered D…