Philip Bachman

18 papers and 1.4k indexed citations i.

Philip Bachman has authored 18 papers that have received a total of 1.4k indexed citations. This includes 16 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. The topics of these papers are Topic Modeling (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Multimodal Machine Learning Applications (4 papers). Philip Bachman is often cited by papers focused on Topic Modeling (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Multimodal Machine Learning Applications (4 papers) and collaborates with scholars based in Canada, United States and United Kingdom. Philip Bachman's co-authors include Doina Precup, Alessandro Sordoni, Adam Trischler, Xingdi Yuan and Kaheer Suleman and has published in prestigious journals such as Bioinformatics