Brookes, David H.
- Conditioning by adaptive sampling for robust design
2019/01/29 by David H. Brookes, Hahnbeom Park, Brookes, David H. +3 · 12 citations
Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Probabilistic and Robust Engineering Design
- PB-AM: An Open-Source, Fully Analytical Linear Poisson-Boltzmann Solver
2016/08/14 by Lisa E. Feldberg, David H. Brookes, Feldberg, Lisa E. +9 · 4 citations
Physics and Astronomy · #Biomolecules (q-bio.BM) #FOS: Biological sciences #Spectroscopy and Quantum Chemical Studies
- Design by adaptive sampling
2018/10/08 by David H. Brookes, Jennifer Listgarten, Brookes, David H. +1 · 5 citations
Computer Science · #Algorithms and Data Compression #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Quantitative Methods (q-bio.QM)
- A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization
2019/05/24 by Brookes, David H., Busia, Akosua, Fannjiang, Clara +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Contrastive losses as generalized models of global epistasis
2023/05/04 by David H. Brookes, Brookes, David H., Jakub Otwinowski +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Evolution and Genetic Dynamics #Evolutionary Algorithms and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Populations and Evolution (q-bio.PE)