Greenside, Peyton
- Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
2016/05/05 by Shrikumar, Avanti, Greenside, Peyton, Shcherbina, Anna +1 · 12 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
2022/03/23 by Samuel C. Stanton, Wesley J. Maddox, Stanton, Samuel +11 · 16 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural and Evolutionary Computing (cs.NE) #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM)
- Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
2024/12/10 by Alan Nawzad Amin, Amin, Alan Nawzad, Nate Gruver +15 · 2 voices · 3 citations
#stat.ML #cs.LG #q-bio.BM
- Generative Humanization for Therapeutic Antibodies
2024/12/06 by Gordon, Cade, Raghu, Aniruddh, Greenside, Peyton +1 · 2 citations
#FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)