Kumar Ayush
About
Kumar Ayush has authored 18 papers that have received a total of 517 indexed citations.
This includes 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Materials Chemistry. The topics of these papers are Generative Adversarial Networks and Image Synthesis (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and COVID-19 epidemiological studies (3 papers). Kumar Ayush is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and COVID-19 epidemiological studies (3 papers) and collaborates with scholars based in India and United States. Kumar Ayush's co-authors include Stefano Ermon, Burak Uzkent, Ayush Chopra, Marshall Burke and Balaji Krishnamurthy and has published in prestigious journals such as The Journal of Physical Chemistry C, Physical Chemistry Chemical Physics and IEEE Transactions on Image Processing.
In The Last Decade
Fields of papers published by Kumar Ayush
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 Kumar Ayush
Since SpecializationCitations
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