Dar Gilboa

36 total papers · 2.2k total citations
4 papers, 16 citations indexed

Dar Gilboa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Dar Gilboa has authored 4 papers receiving a total of 16 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 Statistical and Nonlinear Physics. Recurrent topics in Dar Gilboa’s work include Stochastic Gradient Optimization Techniques (2 papers), Neural Networks and Applications (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Dar Gilboa is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Neural Networks and Applications (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Dar Gilboa collaborates with scholars based in United States and Israel. Dar Gilboa's co-authors include Ari Pakman, Liam Paninski, David Carlson, Luca Mazzucato, Michael Wibral, Amin Nejatbakhsh, Daniel Soudry and Elad Schneidman and has published in prestigious journals such as PubMed, arXiv (Cornell University) and International Conference on Machine Learning.