Jeremy Nixon
About
Jeremy Nixon has authored 4 papers that have received a total of 22 indexed citations.
This includes 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Accounting. The topics of these papers are Stochastic Gradient Optimization Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Neural Networks and Applications (1 paper). Jeremy Nixon is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Neural Networks and Applications (1 paper) and collaborates with scholars based in United States. Jeremy Nixon's co-authors include Niru Maheswaranathan, C. Daniel Freeman, Luke Metz, Jascha Sohl‐Dickstein and Ghassen Jerfel and has published in prestigious journals such as and .
In The Last Decade
Fields of papers published by Jeremy Nixon
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
Countries citing papers authored by Jeremy Nixon
Since SpecializationCitations
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