Martín Arjovsky

23 total papers · 9.4k total citations
4 papers, 2.2k citations indexed

Martín Arjovsky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Numerical Analysis. According to data from OpenAlex, Martín Arjovsky has authored 4 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Numerical Analysis. Recurrent topics in Martín Arjovsky’s work include Generative Adversarial Networks and Image Synthesis (1 paper), Computational Physics and Python Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Martín Arjovsky is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (1 paper), Computational Physics and Python Applications (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Martín Arjovsky collaborates with scholars based in United States and Israel. Martín Arjovsky's co-authors include Léon Bottou, Soumith Chintala, Jianyu Zhang, Zhengdao Chen, Pablo Sprechmann, Charles Blundell, Bilal Piot, Alexander Pritzel, Steven Kapturowski and Daniel Guo and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.