Nathan C. Frey

1. The Open Molecules 2025 (OMol25) Dataset, Evaluations, and Models
   2025/05/13 by Daniel S. Levine, Levine, Daniel S., Muhammed Shuaibi +43 · 6 voices · 24 citations
   #physics.chem-ph
2. Concept Bottleneck Language Models For protein design
   2024/11/09 by Aya Abdelsalam Ismail, Ismail, Aya Abdelsalam, Tuomas Oikarinen +21 · 3 voices · 4 citations
   Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #Machine Learning in Bioinformatics #Microbial Metabolic Engineering and Bioproduction #cs.LG
3. Benchmarking Resource Usage for Efficient Distributed Deep Learning
   2022/01/28 by Nathan C. Frey, Baolin Li, Frey, Nathan C. +15 · 2 citations
   Computer Science · Materials Science · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
4. Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design
   2024/07/15 by Nataša Tagasovska, Tagasovska, Nataša, Ji Won Park +19 · 2 citations
   Medicine · Biochemistry, Genetics and Molecular Biology · Immunology and Microbiology · #Monoclonal and Polyclonal Antibodies Research #Protein purification and stability #Biosimilars and Bioanalytical Methods
5. A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences
   2022/10/19 by Nataša Tagasovska, Nathan C. Frey, Tagasovska, Nataša +21 · 1 citation
   Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM) #RNA and protein synthesis mechanisms #vaccines and immunoinformatics approaches
6. Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks
   2024/10/29 by Angelica Chen, Samuel Stanton, Chen, Angelica +15 · 1 citation
   Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)