{"url":"/method/presgan","slug":"presgan","name":"PresGAN","full_name":"Prescribed Generative Adversarial Network","full_name_withheld":false,"description_markdown":"**Prescribed GANs** add noise to the output of a density network and optimize an entropy-regularized adversarial loss. The added noise renders tractable approximations of the predictive log-likelihood and stabilizes the training procedure. The entropy regularizer encourages PresGANs to capture all the modes of the data distribution. Fitting PresGANs involves computing the intractable gradients of the [entropy regularization](https://paperswithcode.com/method/entropy-regularization) term; PresGANs sidestep this intractability using\r\nunbiased stochastic estimates.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Prescribed Generative Adversarial Networks","paper":"/paper/prescribed-generative-adversarial-networks","first_author":"Adji B. Dieng","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/prescribed-generative-adversarial-networks"},"source":{"url":"https://arxiv.org/abs/1910.04302v1","title":"Prescribed Generative Adversarial Networks","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/adjidieng/PresGANs","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Generative Adversarial Networks","url":"/methods/category/generative-adversarial-networks","pwc_aliases":[]},{"area":"Computer Vision","area_id":"computer-vision","collection":"Generative Models","url":"/methods/category/generative-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/prescribed-generative-adversarial-networks","title":"Prescribed Generative Adversarial Networks","date":"2019-10-09","arxiv_id":"1910.04302","n_code_links":2,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/image-generation","name":"Image Generation","papers":1}],"tasks_shown":1,"n_tasks":1,"usage_by_year":[{"year":"2019","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/presgan"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}