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Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

, , , , and . 35th Conference on Neural Information Processing Systems (NeurIPS 2021), (2021)

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Online Bayesian Transfer Learning for Sequential Data Modeling., , , , , , , , , and . ICLR (Poster), OpenReview.net, (2017)Prometheus : Directly Learning Acyclic Directed Graph Structures for Sum-Product Networks., , and . PGM, volume 72 of Proceedings of Machine Learning Research, page 181-192. PMLR, (2018)Intriguing properties of generative classifiers., , and . CoRR, (2023)Path Integral Stochastic Optimal Control for Sampling Transition Paths., , , , , and . CoRR, (2022)Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models., , , , and . CoRR, (2021)Learning directed acyclic graph SPNs in sub-quadratic time., , and . Int. J. Approx. Reason., (2020)Tails of Triangular Flows., , , and . CoRR, (2019)Sum-of-Squares Polynomial Flow., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3009-3018. PMLR, (2019)Deep Homogeneous Mixture Models: Representation, Separation, and Approximation., , and . NeurIPS, page 7136-7145. (2018)Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent., , and . NeurIPS, page 16727-16737. (2021)