Daniel Soudry

39 papers and 2.0k indexed citations i.

Daniel Soudry has authored 39 papers that have received a total of 2.0k indexed citations. This includes 20 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Statistical and Nonlinear Physics. The topics of these papers are Neural dynamics and brain function (9 papers), Stochastic Gradient Optimization Techniques (9 papers) and Advanced Neural Network Applications (9 papers). Daniel Soudry is often cited by papers focused on Neural dynamics and brain function (9 papers), Stochastic Gradient Optimization Techniques (9 papers) and Advanced Neural Network Applications (9 papers) and collaborates with scholars based in Israel, United States and Australia. Daniel Soudry's co-authors include Elad Hoffer, Nathan Srebro, Itay Hubara, Ron Banner and Suriya Gunasekar and has published in prestigious journals such as Neuron, PLoS ONE and PLoS Computational Biology