Gligorijević, Vladimir

1. A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences
   2022/10/19 by Nataša Tagasovska, Tagasovska, Nataša, Nathan C. Frey +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
2. Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
   2024/05/28 by Nataša Tagasovska, Vladimir Gligorijević, Tagasovska, Nataša +5 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Manufacturing Process and Optimization
3. Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks
   2024/10/29 by Angelica Chen, Chen, Angelica, Samuel Stanton +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)