Martín Arjovsky

4 papers and 2.2k indexed citations i.

Martín Arjovsky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. 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 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Martín Arjovsky’s work include Numerical methods for differential equations (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Computational Physics and Python Applications (1 paper). Martín Arjovsky is often cited by papers focused on Numerical methods for differential equations (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Computational Physics and Python Applications (1 paper). Martín Arjovsky collaborates with scholars based in United States and Israel. Martín Arjovsky's co-authors include Léon Bottou, Soumith Chintala, Zhengdao Chen, Jianyu Zhang, Anil Kokaram, Michele Covell, Daniel Guo, Charles Blundell, Adrià Puigdomènech Badia and Alexander Pritzel and has published in prestigious journals such as International Conference on Machine Learning, International Conference on Learning Representations and Electronic Imaging.