Frye, Christopher

1. Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
   2019/10/14 by Christopher Frye, Colin Rowat, Frye, Christopher +3 · 13 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks
2. Spherical Harmonics in p Dimensions
   2012/05/16 by Christopher Frye, Frye, Christopher, Costas Efthimiou +1 · 6 citations
   Physics and Astronomy · #33C45 #33C55 #42C05 #Analysis of PDEs (math.AP) #Classical Analysis and ODEs (math.CA) #Electromagnetic Scattering and Analysis #FOS: Mathematics #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Mathematical Physics (math-ph) #Scientific Research and Discoveries
3. Shapley explainability on the data manifold
   2020/06/01 by Frye, Christopher, de Mijolla, Damien, Begley, Tom +3 · 8 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Precision physics with pile-up insensitive observables
   2016/03/21 by Christopher Frye, Frye, Christopher, Andrew J. Larkoski +5 · 1 citation
   Physics and Astronomy · #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #High-Energy Particle Collisions Research #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
5. Explainability for fair machine learning
   2020/10/14 by Tom Begley, Tobias Schwedes, Begley, Tom +5 · 2 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Human-interpretable model explainability on high-dimensional data
   2020/10/14 by Damien de Mijolla, de Mijolla, Damien, Christopher Frye +7 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Task-specific experimental design for treatment effect estimation
   2023/06/08 by Connolly, Bethany, Moore, Kim, Schwedes, Tobias +4 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)