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Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent.

, , and . NeurIPS, page 16727-16737. (2021)

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Relaxed Quantization for Discretized Neural Networks., , , , and . CoRR, (2018)Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC., , , , and . KDD, page 9-18. ACM, (2015)Neural Relational Inference for Interacting Systems., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2693-2702. PMLR, (2018)Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1708-1716. JMLR.org, (2016)Scalable MCMC for Mixed Membership Stochastic Blockmodels., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 723-731. JMLR.org, (2016)Harmonic Exponential Families on Manifolds., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1757-1765. JMLR.org, (2015)Sigma Delta Quantized Networks., and . ICLR (Poster), OpenReview.net, (2017)A Distributed Message Passing Algorithm for Sensor Localization., and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 767-775. Springer, (2007)Contrastive Learning of Structured World Models, , and . (2019)cite arxiv:1911.12247.Convolutional Networks for Spherical Signals., , , and . CoRR, (2017)