Devansh Arpit
About
Devansh Arpit has authored 12 papers that have received a total of 480 indexed citations.
This includes 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Statistical and Nonlinear Physics. The topics of these papers are Stochastic Gradient Optimization Techniques (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Model Reduction and Neural Networks (4 papers). Devansh Arpit is often cited by papers focused on Stochastic Gradient Optimization Techniques (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Model Reduction and Neural Networks (4 papers) and collaborates with scholars based in Canada, United States and Germany. Devansh Arpit's co-authors include Yoshua Bengio, Aaron Courville, Nicolas Ballas, Stanisław Jastrzȩbski and Asja Fischer and has published in prestigious journals such as and .
In The Last Decade
Fields of papers published by Devansh Arpit
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 Devansh Arpit
Since SpecializationCitations
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