Tutorial on Variational Autoencoders

19 June 2016

Papers citing "Tutorial on Variational Autoencoders"

50 / 210 papers shown

Title
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting Nam H. Nguyen Brian Quanz BDL AI4TS 140 66 0 25 Jan 2021
Artificial Intelligence for Satellite Communication: A Review Fares Fourati Mohamed-Slim Alouini 40 108 0 25 Jan 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 70 507 0 14 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 35 2 0 04 Jan 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen Rudrasis Chakraborty Liu Yang Vikas Singh DRL MedIm 31 9 0 18 Dec 2020
ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction Xiaoyu Mo Yang Xing Chen Lv GNN 16 43 0 09 Dec 2020
Artificial intelligence techniques for integrative structural biology of intrinsically disordered proteins A. Ramanathan Henglong Ma Akash Parvatikar C. Chennubhotla AI4CE 25 40 0 01 Dec 2020
Learning geometry-image representation for 3D point cloud generation Lei Wang Yuchun Huang Pengjie Tao Yaolin Hou Yuxuan Liu 3DPC 30 2 0 29 Nov 2020
CASTELO: Clustered Atom Subtypes aidEd Lead Optimization -- a combined machine learning and molecular modeling method Leili Zhang Giacomo Domeniconi Chih-Chieh Yang Seung-gu Kang R. Zhou Guojing Cong 12 6 0 27 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations H. Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 42 24 0 21 Nov 2020
End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing -- A Preliminary Study Matteo Lionello Hendrik Purwins 28 0 0 19 Nov 2020
PLAS: Latent Action Space for Offline Reinforcement Learning Wenxuan Zhou Sujay Bajracharya David Held OffRL 26 158 0 14 Nov 2020
Multi-document Summarization via Deep Learning Techniques: A Survey Congbo Ma W. Zhang Mingyu Guo Hu Wang Quan Z. Sheng 13 126 0 10 Nov 2020
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing Zhentao Tan Menglei Chai Dongdong Chen Jing Liao Qi Chu Lu Yuan Sergey Tulyakov Nenghai Yu 43 41 0 30 Oct 2020
Improving seasonal forecast using probabilistic deep learning B. Pan G. Anderson André Goncalves Donald D. Lucas C. Bonfils Jiwoo Lee BDL AI4Cl 11 32 0 27 Oct 2020
A Quaternion-Valued Variational Autoencoder Eleonora Grassucci Danilo Comminiello A. Uncini DRL 28 21 0 22 Oct 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 26 162 0 20 Oct 2020
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Aaron Berk 19 0 0 13 Oct 2020
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review Yuqi Si Jingcheng Du Zhao Li Xiaoqian Jiang T. Miller Fei Wang W. J. Zheng Kirk Roberts OOD 13 155 0 06 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
HpRNet : Incorporating Residual Noise Modeling for Violin in a Variational Parametric Synthesizer Krishna Subramani Preeti Rao 15 4 0 19 Aug 2020
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI C. Russo Sidong Liu A. Di Ieva 25 22 0 17 Aug 2020
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach Yahui Liu Marco De Nadai Deng Cai Huayang Li Xavier Alameda-Pineda N. Sebe Bruno Lepri 38 59 0 10 Aug 2020
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics Chunyao Qian Shizhao Sun Weiwei Cui Jian-Guang Lou Haidong Zhang Dongmei Zhang DiffM 15 46 0 31 Jul 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases Senthil Purushwalkam Abhinav Gupta SSL 31 213 0 28 Jul 2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review Marjane Khodatars A. Shoeibi Delaram Sadeghi Navid Ghaasemi M. Jafari ... Abbas Khosravi S. Nahavandi Sadiq Hussain U. Acharya M. Berk 28 202 0 02 Jul 2020
Deep generative models for musical audio synthesis M. Huzaifah L. Wyse 27 20 0 10 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation A. Krishnan Mahashweta Das M. Bendre Hao Yang Hari Sundaram 24 64 0 21 May 2020
AEVB-Comm: An Intelligent CommunicationSystem based on AEVBs Raghu vamshi Hemadri Akshay Rayaluru R. Pandya DRL 38 2 0 19 May 2020
Learning and Inference in Imaginary Noise Models Saeed Saremi BDL DRL 11 2 0 18 May 2020
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders Kristian Miok Dong Nguyen Doan Marko Robnik-Šikonja D. Zaharie SyDa 34 7 0 13 May 2020
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching S. A. Canchumuni J. D. B. Castro Júlia Potratz A. Emerick M. Pacheco 14 47 0 08 May 2020
Shared Autonomy with Learned Latent Actions Hong Jun Jeon Dylan P. Losey Dorsa Sadigh 6 78 0 07 May 2020
A Deeper Look at the Unsupervised Learning of Disentangled Representations in $β$ -VAE from the Perspective of Core Object Recognition Harshvardhan Digvijay Sikka OCL OOD BDL DRL 21 1 0 25 Apr 2020
On the Compressive Power of Boolean Threshold Autoencoders A. Melkman Sini Guo W. Ching Pengyu Liu Tatsuya Akutsu AI4CE 16 3 0 21 Apr 2020
Data augmentation using generative networks to identify dementia B. Mirheidari Yilin Pan D. Blackburn R. O'Malley Traci Walker A. Venneri M. Reuber H. Christensen MedIm 18 4 0 13 Apr 2020
State of the Art on Neural Rendering A. Tewari Ohad Fried Justus Thies Vincent Sitzmann Stephen Lombardi ... Christian Theobalt Maneesh Agrawala Eli Shechtman Dan B. Goldman Michael Zollhöfer 3DH 3DV 39 466 0 08 Apr 2020
GIQA: Generated Image Quality Assessment Shuyang Gu Jianmin Bao Dong Chen Fang Wen EGVM 165 82 0 19 Mar 2020
Recovering compressed images for automatic crack segmentation using generative models Yong Huang Haoyu Zhang Hui Li Stephen Wu 14 27 0 06 Mar 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 0 26 Feb 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 30 101 0 21 Feb 2020
Variational Encoder-based Reliable Classification Chitresh Bhushan Zhaoyuan Yang Nurali Virani N. Iyer DRL 18 5 0 19 Feb 2020
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Andrea Asperti Matteo Trentin DRL 27 96 0 18 Feb 2020
A Neural Network Based on First Principles P. Baggenstoss 13 7 0 18 Feb 2020
Manifold-based Test Generation for Image Classifiers Taejoon Byun Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer 18 9 0 15 Feb 2020
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