Tutorial on Variational Autoencoders

19 June 2016

Papers citing "Tutorial on Variational Autoencoders"

50 / 216 papers shown

Title
Manifold for Machine Learning Assurance Taejoon Byun Sanjai Rayadurgam 44 29 0 08 Feb 2020
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting Xian Zhang Xin Wang Bin Kong Canghong Shi Youbing Yin Qi Song Siwei Lyu Jiancheng Lv Canghong Shi Xiaojie Li GAN CVBM 22 7 0 05 Feb 2020
Discovery of Self-Assembling $π$ -Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation Kirill Shmilovich R. Mansbach Hythem Sidky Olivia E. Dunne S. Panda J. Tovar Andrew L. Ferguson 28 76 0 27 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 24 67 0 17 Jan 2020
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats Xueyuan Han Thomas Pasquier Adam Bates James W. Mickens Margo Seltzer 31 270 0 06 Jan 2020
Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving Michal Uřičář Ganesh Sistu Hazem Rashed Antonín Vobecký Varun Ravi Kumar P. Krízek Fabian Burger S. Yogamani ViT 24 9 0 04 Dec 2019
Mixed-curvature Variational Autoencoders Ondrej Skopek O. Ganea Gary Bécigneul CML DRL BDL 30 101 0 19 Nov 2019
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials Yabo Dan Yong Zhao Xiang Li Shaobo Li Ming Hu Jianjun Hu AI4CE GAN 34 192 0 12 Nov 2019
Machine learning and serving of discrete field theories -- when artificial intelligence meets the discrete universe H. Qin 32 30 0 22 Oct 2019
Straight-Through Estimator as Projected Wasserstein Gradient Flow Pengyu Cheng YooJung Choi Yitao Liang Dinghan Shen Ricardo Henao Mathias Niepert 24 14 0 05 Oct 2019
Conditional out-of-sample generation for unpaired data using trVAE M. Lotfollahi Mohsen Naghipourfar Fabian J. Theis F. A. Wolf GAN ViT DRL 22 19 0 04 Oct 2019
Probabilistic Forecasting using Deep Generative Models A. Fanfarillo B. Roozitalab Weiming Hu G. Cervone 25 17 0 26 Sep 2019
Controlling Assistive Robots with Learned Latent Actions Dylan P. Losey K. Srinivasan Ajay Mandlekar Animesh Garg Dorsa Sadigh 34 69 0 20 Sep 2019
Generating Data using Monte Carlo Dropout Kristian Miok Dong Nguyen Doan D. Zaharie Marko Robnik-Šikonja SyDa 27 13 0 12 Sep 2019
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy Javier Cózar Rafael Cabañas Antonio Salmerón A. Masegosa BDL 27 3 0 29 Aug 2019
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S. Berchuck Felipe A. Medeiros S. Mukherjee BDL 28 3 0 24 Aug 2019
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study Najibesadat Sadati Milad Zafar Nezhad R. Chinnam D. Zhu BDL OOD 16 16 0 24 Aug 2019
Improving Channel Charting with Representation-Constrained Autoencoders Pengzhi Huang Oscar Castañeda Emre Gönültaş Said Medjkouh O. Tirkkonen Tom Goldstein Christoph Studer 13 33 0 07 Aug 2019
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning Rahul Kumar Aditya Mandalika Sanjiban Choudhury S. Srinivasa 10 59 0 22 Jul 2019
WriterForcing: Generating more interesting story endings Prakhar Gupta Vinayshekhar Bannihatti Kumar Mukul Bhutani A. Black 31 18 0 18 Jul 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders G. Loaiza-Ganem John P. Cunningham DRL 29 83 0 16 Jul 2019
Estimating densities with nonlinear support using Fisher-Gaussian kernels Minerva Mukhopadhyay Didong Li David B. Dunson 10 12 0 12 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 32 103 0 08 Jul 2019
Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA Moshe Kravchik A. Shabtai AAML 18 55 0 02 Jul 2019
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models C. Biffi Juan J. Cerrolaza G. Tarroni Wenjia Bai A. de Marvao ... Jinming Duan S. Prasad S. Cook D. O’Regan Daniel Rueckert MedIm 23 46 0 28 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo-Wen Zhang Bolei Zhou GAN DRL 30 35 0 19 Jun 2019
Robust Variational Autoencoder H. Akrami Anand A. Joshi Jian Li Sergul Aydore Richard M. Leahy DRL 22 21 0 23 May 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 24 262 0 20 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 27 100 0 18 Apr 2019
Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks Zhe He Adrian Spurr Xucong Zhang Otmar Hilliges GAN 19 53 0 29 Mar 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors Fang-I Hsiao Jui-Hsuan Kuo Min Sun OffRL 21 14 0 25 Mar 2019
Approximate Query Processing using Deep Generative Models Saravanan Thirumuruganathan Shohedul Hasan Nick Koudas Gautam Das 37 49 0 24 Mar 2019
Deep Learning in Medical Image Registration: A Survey Grant Haskins Uwe Krüger Pingkun Yan MedIm 24 585 0 05 Mar 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 24 295 0 28 Feb 2019
DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences Amirreza Farnoosh B. Rezaei Sarah Ostadabbas BDL 31 15 0 03 Feb 2019
Representation Learning for Heterogeneous Information Networks via Embedding Events Guoji Fu Bo Yuan Qiqi Duan Xin Yao 16 20 0 29 Jan 2019
Pedestrian Attribute Recognition: A Survey Tianlin Li Shaofei Zheng Rui Yang Aihua Zheng Zhe Chen Jin Tang Bin Luo CVBM 28 127 0 22 Jan 2019
RNN-based Generative Model for Fine-Grained Sketching A. Jenal Nikolay Savinov Torsten Sattler G. Chaurasia GAN 16 4 0 13 Jan 2019
Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation Jingwei Gan Pai Liu R. Chakrabarty GAN 16 0 0 13 Jan 2019
A witness function based construction of discriminative models using Hermite polynomials H. Mhaskar A. Cloninger Xiuyuan Cheng 24 9 0 10 Jan 2019
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother S. A. Canchumuni A. Emerick M. Pacheco OOD AI4CE 30 109 0 17 Dec 2018
Concept-Oriented Deep Learning: Generative Concept Representations Daniel T. Chang DRL GAN BDL 36 12 0 15 Nov 2018
SCORES: Shape Composition with Recursive Substructure Priors Chenyang Zhu Kai Xu S. Chaudhuri Renjiao Yi Hao Zhang 3DPC 16 76 0 14 Sep 2018
Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari Harold Soh CoGe CML UD DRL 26 31 0 12 Sep 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 24 116 0 21 Jul 2018
xGEMs: Generating Examplars to Explain Black-Box Models Shalmali Joshi Oluwasanmi Koyejo Been Kim Joydeep Ghosh MLAU 25 40 0 22 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging Xiaoran Chen Nick Pawlowski Martin Rajchl Ben Glocker E. Konukoglu OOD MedIm 22 49 0 14 Jun 2018
Spreading vectors for similarity search Alexandre Sablayrolles Matthijs Douze Cordelia Schmid Hervé Jégou MQ 27 115 0 08 Jun 2018
Multi-chart Generative Surface Modeling Heli Ben-Hamu Haggai Maron Itay Kezurer G. Avineri Y. Lipman MedIm 29 75 0 06 Jun 2018
Self-Net: Lifelong Learning via Continual Self-Modeling Blake Camp J. Mandivarapu Rolando Estrada CLL SSL 27 16 0 25 May 2018