Hoffman, Samuel C.

1. AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and\n Mitigating Unwanted Algorithmic Bias
   2018/10/03 by Rachel Bellamy, Kuntal Dey, Bellamy, Rachel K. E. +35 · 69 citations
   Computer Science · Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
2. One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
   2019/09/06 by Vijay Arya, Rachel Bellamy, Arya, Vijay +36 · 21 citations
   Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (stat.ML) #Scientific Computing and Data Management
3. GP-MoLFormer: A Foundation Model For Molecular Generation
   2024/04/04 by Jerret Ross, Brian Belgodere, Ross, Jerret +10 · 5 citations
   Biochemistry, Genetics and Molecular Biology · Chemistry · #Biomolecules (q-bio.BM) #Chemical Physics (physics.chem-ph) #Chemical Synthesis and Analysis #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Nanomaterials for catalytic reactions
4. Fairness GAN
   2018/05/24 by Prasanna Sattigeri, Samuel C. Hoffman, Sattigeri, Prasanna +5 · 1 citation
   Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
   2020/04/02 by Vijil Chenthamarakshan, Chenthamarakshan, Vijil, Payel Das +19 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM) #vaccines and immunoinformatics approaches