Multi-Source Neural Variational Inference

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Multi-Source Neural Variational Inference

11 November 2018

Stephan Günnemann

Patrick van der Smagt

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Papers citing "Multi-Source Neural Variational Inference"

11 / 11 papers shown

Title
Multimodal Deep Learning Cem Akkus Jiquan Ngiam Vladana Djakovic Steffen Jauch-Walser A. Khosla ... Jann Goschenhofer Honglak Lee A. Ng Daniel Schalk Matthias Aßenmacher 120 3,176 0 12 Jan 2023
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 510 10,591 0 17 Feb 2020
Multimodal Generative Models for Scalable Weakly-Supervised Learning Mike Wu Noah D. Goodman DRL 79 380 0 14 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 135 283 0 10 Jan 2018
Generative Models of Visually Grounded Imagination Ramakrishna Vedantam Ian S. Fischer Jonathan Huang Kevin Patrick Murphy 48 139 0 30 May 2017
Multimodal Machine Learning: A Survey and Taxonomy T. Baltrušaitis Chaitanya Ahuja Louis-Philippe Morency 114 2,937 0 26 May 2017
Joint Multimodal Learning with Deep Generative Models Masahiro Suzuki Kotaro Nakayama Y. Matsuo DRL GAN 64 223 0 07 Nov 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 280 1,246 0 01 Sep 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Generalized Evidence Theory Yong Deng 65 271 0 17 Apr 2014
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 198 729 0 31 Jan 2014