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scVAE: Variational auto-encoders for single-cell gene expression data Christopher Heje Grønbech 1,2,3, Maximillian Fornitz Vording 3, Pascal Timshel 4,5, Casper Kaae Sønderby…
CS598LAZ - Variational Autoencoders Raymond Yeh Junting Lou Teck-Yian Lim Outline - Review Generative Adversarial Network - Introduce Variational Autoencoder VAE - VAE applications…
Variational Auto-Encoders Stéphane d’Ascoli Roadmap 1. A reminder on auto-encoders a. Basics b. Denoising and sparse encoders c. Why do we need VAEs ? 2. Understanding…
Deep Style TJ Torres Data Scientist, Stitch Fix PyData NYC 2015 Using Variational Auto-encoders for Image Generation Data Labs Data Labs Data Labs Data Labs MOTIVATION Our…
Variational Autoencoders Eric Chu 6882: Bayesian Modeling and Inference Abstract The ability of variational autoencoders to reconstruct inputs and learn meaningful representations…
Variational Auto-Encoders without too much math Stéphane d’Ascoli Roadmap 1 A reminder on auto-encoders a Basics b Denoising and sparse encoders c Why do we need VAEs…
Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embedding Linxiao Yang∗12 Ngai-Man Cheung‡1 Jiaying Li1 and Jun Fang2 1Singapore University of…
Introduction Background Motivation Variational Attention Experiments Conclusion References Variational Attention for Sequence-to-Sequence Models Hareesh Bahuleyan1 Lili Mou1…
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation Salman H Khan† Munawar Hayat ‡ Nick Barnes † †Data61 - CSIRO and ANU Australia…
Creativity: Generating Diverse Questions using Variational Autoencoders Unnat Jain∗ UIUC uj2@illinoisedu Ziyu Zhang∗ Northwestern University zzhang@unorthwesternedu Alexander…
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…
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…