Peyton Greenside

1. Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
   2016/05/05 by Avanti Shrikumar, Shrikumar, Avanti, Peyton Greenside +5 · 34 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE)
2. Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
   2022/03/23 by Samuel C. Stanton, Stanton, Samuel, Wesley J. Maddox +11 · 24 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)
3. 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 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #stat.ML #cs.LG #q-bio.BM
4. Generative Humanization for Therapeutic Antibodies
   2024/12/06 by Cade Gordon, Aniruddh Raghu, Gordon, Cade +4 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Medicine · #CAR-T cell therapy research #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #Quantitative Methods (q-bio.QM) #Transgenic Plants and Applications