Sam Toyer

20 total papers · 400 total citations
4 papers, 50 citations indexed

Sam Toyer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Sam Toyer has authored 4 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Media Technology. Recurrent topics in Sam Toyer’s work include Machine Learning and Algorithms (2 papers), AI-based Problem Solving and Planning (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Sam Toyer is often cited by papers focused on Machine Learning and Algorithms (2 papers), AI-based Problem Solving and Planning (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Sam Toyer collaborates with scholars based in United States and Australia. Sam Toyer's co-authors include Felipe Trevizan, Sylvie Thiébaux, Lexing Xie, Angjoo Kanazawa, Xue Bin Peng, Sergey Levine, Pieter Abbeel, William Shen, Stuart Russell and Andrew Critch and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the International Symposium on Combinatorial Search.