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2112020 1 Jun Luo 022020 Modern Generative Models: Restricted Boltzmann Machines Based on presentation by Hung Chao https:peoplecspittedu~miloscoursescs3750lecturesclass22pdf…
Learning Latent Subspaces in Variational Autoencoders Jack Klys Jake Snell Richard Zemel University of Toronto Vector Institute {jackklysjsnellzemel}@cstorontoedu Abstract…
Automatic Chemical Designusing Variational AutoencodersRafael Gmez-Bombarelli*Harvard UniversityDavid Duvenaud*University of TorontoJos Miguel Hernndez-Lobato*University…
Cross-population Variational Autoencoders Joe Davison2,1, Kristen A. Severson1, and Soumya Ghosh1 1MIT-IBM Watson AI Lab, IBM Research, Cambridge, MA 2School of Engineering…
Notes on Variational Autoencoders David Meyer dmm@{1-4-5netuoregonedu} 17 Jan 2015 1 Introduction Variational Autoecoders VAEs 1 are generative models in which we have examples…
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning Prasoon Goyal Zhiting Hu Xiaodan Liang Chenyu Wang Eric P Xing Presented by: Zhi Li ● Variational…
Variational Autoencoders for Deforming 3D Mesh Models Qingyang Tan12 Lin Gao1 Yu-Kun Lai 3 Shihong Xia1 1Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute…
Variational Laplace Autoencoders Yookoon Park 1 Chris Dongjoo Kim 1 Gunhee Kim 1 Abstract Variational autoencoders Kingma Welling 2014 employ an amortized inference model…
How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks D2 ¤ ICML 2016 ¤ Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby,…
InfoVAE: Balancing Learning and Inference in Variational Autoencoders Shengjia Zhao 1 Jiaming Song 1 Stefano Ermon 1 Abstract A key advance in learning generative models…
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya1 Michael Hanselmann2 Mario Fritz3 Bernt Schiele1 and Christoph-Nikolas…
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies Zhiwei Deng1, Rajitha Navarathna2, Peter Carr2, Stephan Mandt2, Yisong Yue3, Iain Matthews2,…
Tutorial on Variational Autoencoders CARL DOERSCH Carnegie Mellon UC Berkeley August 16 2016 Abstract In just three years Variational Autoencoders VAEs have emerged as one…
Semi-Amortized Variational Autoencoders Yoon Kim 1 Sam Wiseman 1 Andrew C. Miller 1 David Sontag 2 Alexander M. Rush 1 Abstract Amortized variational inference AVI replaces…
Variational Autoencoders Recap: Story so far • A classification MLP actually comprises two components • A “feature extraction network” that converts the inputs into…
Deep Generative Models Variational Autoencoders Sudeshna Sarkar 5 April 2017 Generative Nets • Generative models that represent probability distributions over multiple…
Variational Autoencoders - An Introduction Devon Graham University of British Columbia drgraham@csubcca Oct 31st 2017 Table of contents Introduction Deep Learning Perspective…
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Variational Autoencoders for Sparse and Overdispersed Discrete Data He Zhao⇤ Piyush Rai† Lan Du⇤ Wray Buntine⇤ Dinh Phung⇤ Mingyuan Zhou‡ ⇤Faculty of Information…
Mesh Variational Autoencoders with Edge Contraction Pooling Yu-Jie Yuana,b, Yu-Kun Laic, Jie Yanga,b, Qi Duand, Hongbo Fue and Lin Gaoa,b aBeijing Key Laboratory of Mobile…