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Energy-based model

An energy-based model (EBM), also called Canonical Ensemble Learning (CEL) or Learning via Canonical Ensemble (LCE), is an application of canonical ensemble formulation from statistical physics for learning from data. The approach prominently appears in generative AI.

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Energy-based model

Nodes48
Edges47
Triples42
Avg. degree1.96
Density0.041667
Components1

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Energy-based model

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related to Literature · 28
Energy-based model → Alexi Gladstone, Aman Chadha, Based Transformers, Classifier, David Duvenaud, Energy Based Model, Energy-Based Models Yilun Du, Ganesh Nanduru, Generalization, Heng Ji, Hyeonjeong Ha, Igor Mordatch, Implicit Generation, Jundong Li, Jörn-Henrik Jacobsen, Kevin Swersky, Kuan-Chieh Wang, Like One, Md Mofijul Islam, Mohammad Norouzi
related to Joint energy-based models · 6
Energy-based model → By, Grathwohl, JEM, Joint, The, Without
related to history · 4
Energy-based model → EBMs, JMLR, Other, The

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models energy-based displaystyle theta model ebms energy training ebm probability samples learning generative distribution boltzmann data also hinton given using

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SubjectPredicateObjectConfidenceSrc
CIFAR-10instance ofExperimental resultsOn image datasets0.80text
ImageNet 32x32instance ofExperimental resultsOn image datasets0.80text
an EBM model generated high-quality images relatively quicklyinstance ofExperimental resultsOn image datasets0.80text
variational autoencodersinstance ofAlternativesEBMs compete with techniques0.80text
Energy-based modelrelated to historyThe0.60section
Energy-based modelrelated to historyJMLR0.60section
Energy-based modelrelated to historyEBMs0.60section
Energy-based modelrelated to historyOther0.60section
Energy-based modelrelated to Joint energy-based modelsJoint0.60section
Energy-based modelrelated to Joint energy-based modelsJEM0.60section
Energy-based modelrelated to Joint energy-based modelsGrathwohl0.60section
Energy-based modelrelated to Joint energy-based modelsThe0.60section

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