Languages
Pages
Legal
Explore all categories to find your favorite topic
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies Zhiwei Deng1, Rajitha Navarathna2, Peter Carr2, Stephan Mandt2, Yisong Yue3, Iain Matthews2,…
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning Prasoon Goyal1 Zhiting Hu12 Xiaodan Liang1 Chenyu Wang2 Eric P Xing12 1Carnegie Mellon University…
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…
General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors andor other copyright owners and it is a condition…
Variational Autoencoders for Sparse and Overdispersed Discrete Data He Zhao⇤ Piyush Rai† Lan Du⇤ Wray Buntine⇤ Dinh Phung⇤ Mingyuan Zhou‡ ⇤Faculty of Information…
Biologically Inspired Sleep Algorithm for Variational Auto-Encoders Sameerah Talafha1 Banafsheh Rekabdar1 Christos Mousas2B and Chinwe Ekenna3 1 Southern Illinois University…
Deep Learning Srihari Denoising Autoencoders Sargur Srihari [email protected] 1 Deep Learning Srihari Topics in Autoencoders • What is an autoencoder? 1. Undercomplete…
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…
Bridged Variational Autoencoders for Joint Modeling of Images and Attributes Ravindra Yadav IIT Kanpur ravin@iitkacin Ashish Sardana NVIDIA asardana@nvidiacom Vinay P Namboodiri…
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl 1 Luisa Zintgraf 1 Tuan Anh Le 1 Frank Wood 2 Shimon Whiteson 1 Abstract Many real-world sequential decision…
SAL: Sign Agnostic Learning of Shapes from Raw Data Matan Atzmon and Yaron Lipman Weizmann Institute of Science Rehovot Israel Figure 1: We introduce SAL: Sign Agnostic Learning…
1 Tessellated Wasserstein Auto-Encoders Kuo Gai and Shihua Zhang* Abstract—Non-adversarial generative models such as variational auto-encoder VAE, Wasserstein auto-encoders…
Adversarial Images Adversarial Training Autoencoder VAE GAN Conclusions Lecture 22: Adversarial Image Adversarial Training Variational Autoencoders and Generative Adversarial…
Variational Autoencoders Presented by Alex Beatson Materials from Yann LeCun, Jaan Altosaar, Shakir Mohamed Contents 1. Why unsupervised learning, and why generative models?…
Variational auto-encoders with Student’s t-prior Najmeh Abiri1 and Mattias Ohlsson12 1- Lund University - Department of Astronomy and Theoretical Physics Sölvegatan 14A…
The Mutual Autoencoder: Controlling Information in Latent Code Representations Bui Thi Mai Phuong1 Nate Kushman2 Sebastian Nowozin2 Ryota Tomioka2 Max Welling3 12 3 Summary…