4 citations · 4 across the 3 of their papers we have counts for
5 papers
Comprehension Audits to Mitigate Risks from Automated AI Research
Ronald J. Bodkin, Bahrad A. Sokhansanj, Gillian K. Hadfield
AI is already writing a majority of code for frontier AI labs. This creates a safety risk if there is insufficient human oversight. Existing work proposes minimum comprehension thr…
Learning to Align Molecules and Proteins: A Geometry-Aware Approach to Binding Affinity
Mohammadsaleh Refahi, Bahrad A. Sokhansanj, James R. Brown +1
Accurate prediction of drug-target binding affinity can accelerate drug discovery by prioritizing promising compounds before costly wet-lab screening. While deep learning has advan…
Fast and Scalable Gene Embedding Search: A Comparative Study of FAISS and ScaNN
Mohammad Saleh Refahi, Gavin Hearne, Harrison Muller +4
The exponential growth of DNA sequencing data has outpaced traditional heuristic-based methods, which struggle to scale effectively. Efficient computational approaches are urgently…
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
Mohammadsaleh Refahi, Mahdi Abavisani, Bahrad A. Sokhansanj +2
Transformers have revolutionized nucleotide sequence analysis, yet capturing long-range dependencies remains challenging. Recent studies show that autoregressive transformers often…
Predicting Anti-microbial Resistance using Large Language Models
Hyunwoo Yoo, Bahrad Sokhansanj, James R. Brown +1
During times of increasing antibiotic resistance and the spread of infectious diseases like COVID-19, it is important to classify genes related to antibiotic resistance. As natural…