Yasaman Bahri
About
Yasaman Bahri has authored 16 papers that have received a total of 605 indexed citations.
This includes 9 papers in Artificial Intelligence, 6 papers in Atomic and Molecular Physics, and Optics and 4 papers in Condensed Matter Physics. The topics of these papers are Topological Materials and Phenomena (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Machine Learning and Data Classification (4 papers). Yasaman Bahri is often cited by papers focused on Topological Materials and Phenomena (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Machine Learning and Data Classification (4 papers) and collaborates with scholars based in United States, United Kingdom and Israel. Yasaman Bahri's co-authors include Jascha Sohl‐Dickstein, Jeffrey Pennington, Roman Novak, Jaehoon Lee and Lechao Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Physical Review B
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