Daniel Selsam

3 papers and 18 indexed citations i.

Daniel Selsam is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Daniel Selsam has authored 3 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Daniel Selsam’s work include Logic, Reasoning, and Knowledge (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Daniel Selsam is often cited by papers focused on Logic, Reasoning, and Knowledge (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Daniel Selsam collaborates with scholars based in United States. Daniel Selsam's co-authors include Percy Liang, David L. Dill, Leonardo de Moura, Matthew Lamm and Benedikt Bünz and has published in prestigious journals such as Proceedings of the ACM on Programming Languages, International Conference on Machine Learning and International Conference on Learning Representations.