Dan Moldovan

1. Underspecification Presents Challenges for Credibility in Modern Machine Learning
   2020/11/06 by Alexander D’Amour, Alexander D'Amour, D'Amour, Alexander +81 · 8 voices · 71 citations
   Computer Science · Mathematics · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Topic Modeling #cs.LG #stat.ML
2. Tangent: Automatic Differentiation Using Source Code Transformation in Python
   2017/11/07 by Bart van Merriënboer, Alexander B. Wiltschko, van Merriënboer, Bart +3 · 2 citations
   Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (stat.ML) #Mathematical Software (cs.MS) #Numerical Methods and Algorithms #Parallel Computing and Optimization Techniques
3. Tangent: Automatic differentiation using source-code transformation for\n dynamically typed array programming
   2018/09/25 by Bart van Merriënboer, Dan Moldovan, van Merriënboer, Bart +3 · 1 citation
   Computer Science · Engineering · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Computational Physics and Python Applications #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Robotics and Sensor-Based Localization #Software Engineering (cs.SE)