D.P Kingma

GPTKB entity

Properties (48)
Predicate Object
gptkbp:instanceOf Person
gptkbp:activeYears 2010-present
gptkbp:affiliation gptkb:University_of_Amsterdam
gptkbp:awards Best Paper Award at ICLR 2014
gptkbp:birthPlace gptkb:The_Netherlands
gptkbp:birthYear 1984
gptkbp:collaboratedWith gptkb:Max_Welling
gptkbp:community gptkb:Machine_Learning_Group_at_University_of_Amsterdam
gptkbp:contributedTo Machine_Learning_community
gptkbp:contribution Developed the Variational Autoencoder
gptkbp:education PhD_in_Computer_Science
gptkbp:field Machine Learning
Statistics
gptkbp:hasCharacter Many_PhD_students
gptkbp:hasClient Advancements in AI
gptkbp:hasCollaboratedWith Various researchers in AI
gptkbp:hasDeveloped New algorithms for machine learning
gptkbp:hasInfluenceOn Future research directions in AI
gptkbp:hasParticipatedIn Workshops and seminars
gptkbp:hasPerformedAt At international conferences
gptkbp:hasPublications Over 100 research papers
gptkbp:historicalResearch Numerous_papers_on_Variational_Inference
https://www.w3.org/2000/01/rdf-schema#label D.P Kingma
gptkbp:influenced Deep Generative Models
gptkbp:influencedBy Bayesian Inference
Deep Learning
gptkbp:isActiveIn Research_and_Academia
gptkbp:isCitedBy Many researchers
gptkbp:isEngagedIn Public speaking
gptkbp:isExpectedTo The academic community
gptkbp:isInfluencedBy Deep_Learning_field
gptkbp:isKnownFor Innovative research methodologies
Pioneering_work_in_Variational_Inference
gptkbp:isPartOf AI research community
gptkbp:isRecognizedBy Peer-reviewed journals
gptkbp:knownFor Autoencoders
Variational Inference
gptkbp:language Conferences
gptkbp:nationality Dutch
gptkbp:patentDescription Variational_Inference_and_Learning_in_Latent_Variable_Models
gptkbp:publishedIn ICLR 2014
gptkbp:researchInterest Optimization
Generative Models
Probabilistic_Models
gptkbp:socialMedia LinkedIn
Twitter
gptkbp:taught Machine_Learning_courses
gptkbp:website dpkingma.com