Dataset Groups Activity Stream Max-Margin Deep Generative Models Deep generative models (DGMs) are effective on learning multilayered represen- tations of complex data and performing inference of input data by exploring the generative ability. BibTex: @dataset{Chongxuan_Li_and_Jun_Zhu_and_Tianlin_Shi_and_Bo_Zhang_2024, abstract = {Deep generative models (DGMs) are effective on learning multilayered represen- tations of complex data and performing inference of input data by exploring the generative ability.}, author = {Chongxuan Li and Jun Zhu and Tianlin Shi and Bo Zhang}, doi = {10.57702/g59o0vq6}, institution = {No Organization}, keyword = {'Deep Generative Models', 'Generative Models', 'Max-Margin Learning'}, month = {dec}, publisher = {TIB}, title = {Max-Margin Deep Generative Models}, url = {https://service.tib.eu/ldmservice/dataset/max-margin-deep-generative-models}, year = {2024} }
