Variational Autoencoder

Introduced by Kingma et al. in Auto-Encoding Variational Bayes

A Variational Autoencoder is a type of likelihood-based generative model. It consists of an encoder, that takes in data $x$ as input and transforms this into a latent representation $z$, and a decoder, that takes a latent representation $z$ and returns a reconstruction $\hat{x}$. Inference is performed via variational inference to approximate the posterior of the model.

Source: Auto-Encoding Variational Bayes

Latest Papers

PAPER DATE
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
| R. Kenny JonesTheresa BartonXianghao XuKai WangEllen JiangPaul GuerreroNiloy J. MitraDaniel Ritchie
2020-09-17
Discond-VAE: Disentangling Continuous Factors from the Discrete
Jaewoong ChoiGeonho HwangMyungjoo Kang
2020-09-17
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
Ruben TolosanaPaula Delgado-SantosAndres Perez-UribeRuben Vera-RodriguezJulian FierrezAythami Morales
2020-09-14
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Markos GeorgopoulosGrigorios ChrysosMaja PanticYannis Panagakis
2020-09-09
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models
Minyoung KimVladimir Pavlovic
2020-09-07
Quasi-symplectic Langevin Variational Autoencoder
Zihao WangHervé Delingette
2020-09-02
Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders
James-Andrew Sarmiento
2020-09-02
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow
| Yu-Chao GuLe ZhangYun LiuShao-Ping LuMing-Ming Cheng
2020-09-01
LaDDer: Latent Data Distribution Modelling with a Generative Prior
| Shuyu LinRonald Clark
2020-08-31
An Intelligent CNN-VAE Text Representation Technology Based on Text Semantics for Comprehensive Big Data
Genggeng LiuCanyang GuoLin XieWenxi LiuNaixue XiongGuolong Chen
2020-08-28
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent GirinSimon LeglaiveXiaoyu BieJulien DiardThomas HueberXavier Alameda-Pineda
2020-08-28
Uncertainty-Aware Surrogate Model For Oilfield Reservoir Simulation
Ajitabh Kumar
2020-08-26
A Systematic Assessment of Deep Learning Models for Molecule Generation
| Davide RigoniNicolò NavarinAlessandro Sperduti
2020-08-20
Linear Disentangled Representations and Unsupervised Action Estimation
Matthew PainterJonathon HareAdam Prugel-Bennett
2020-08-18
Learning Interpretable Representation for Controllable Polyphonic Music Generation
Ziyu WangDingsu WangYixiao ZhangGus Xia
2020-08-17
PIANOTREE VAE: Structured Representation Learning for Polyphonic Music
Ziyu WangYiyi ZhangYixiao ZhangJunyan JiangRuihan YangJunbo ZhaoGus Xia
2020-08-17
Anatomy-Aware Cardiac Motion Estimation
Pingjun ChenXiao ChenEric Z. ChenHanchao YuTerrence ChenShanhui Sun
2020-08-17
Generate High Resolution Images With Generative Variational Autoencoder
Abhinav Sagar
2020-08-12
Anomaly localization by modeling perceptual features
David DehaenePierre Eline
2020-08-12
DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry
Jie YangKaichun MoYu-Kun LaiLeonidas J. GuibasLin Gao
2020-08-12
Generate High Resolution Images With Generative Variational Autoencoder
| Abhinav Sagar
2020-08-12
Exchangeable Neural ODE for Set Modeling
Yang LiHaidong YiChristopher M. BenderSiyuan ShanJunier B. Oliva
2020-08-06
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification
Nan PuWei ChenYu LiuErwin M. BakkerMichael S. Lew
2020-08-06
Quantitative Understanding of VAE by Interpreting ELBO as Rate Distortion Cost of Transform Coding
Akira NakagawaKeizo Kato
2020-07-30
Unnormalized Variational Bayes
Saeed Saremi
2020-07-29
Learning Disentangled Representations with Latent Variation Predictability
| Xinqi ZhuChang XuDacheng Tao
2020-07-25
Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations
Alexandra-Ioana AlbuAlina EnescuLuigi Malagò
2020-07-24
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
Sahand Rezaei-ShoshtariDavid MegerInna Sharf
2020-07-22
Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder
Mingyu YinLi SunQingli Li
2020-07-21
It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment
| Surabhi S. NathVishaal UdandaraoJainendra Shukla
2020-07-20
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes
Wei ChengGregory DarnellSohini RamachandranLorin Crawford
2020-07-20
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation
Jue JiangHarini Veeraraghavan
2020-07-19
Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs
| Varun MannamArman Kazemi
2020-07-17
Sequential Segment-based Level Generation and Blending using Variational Autoencoders
Anurag SarkarSeth Cooper
2020-07-17
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation
Xuming RanMingkun XuLingrui MeiQi XuQuanying Liu
2020-07-16
VAE-LIME: Deep Generative Model Based Approach for Local Data-Driven Model Interpretability Applied to the Ironmaking Industry
Cedric SchockaertVadim MacherAlexander Schmitz
2020-07-15
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
Yaniv YacobyWeiwei PanFinale Doshi-Velez
2020-07-14
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
Alexander CamutoMatthew WillettsStephen RobertsChris HolmesTom Rainforth
2020-07-14
PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders
Yanjun LiShujian YuJose C. PrincipeXiaolin LiDapeng Wu
2020-07-13
Self-Reflective Variational Autoencoder
Ifigeneia ApostolopoulouElan RosenfeldArtur Dubrawski
2020-07-10
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE
| Anna VolokitinErtunc ErdilNeerav KaraniKerem Can TezcanXiaoran ChenLuc Van GoolEnder Konukoglu
2020-07-09
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Haojie LiuMing LuZhan MaFan WangZhihuang XieXun CaoYao Wang
2020-07-09
NVAE: A Deep Hierarchical Variational Autoencoder
Arash VahdatJan Kautz
2020-07-08
Variational Autoencoders for Anomalous Jet Tagging
| Taoli ChengJean-François ArguinJulien Leissner-MartinJacinthe PiletteTobias Golling
2020-07-03
Generative Modeling for Atmospheric Convection
Griffin MooersJens TuylsStephan MandtMichael PritchardTom Beucler
2020-07-03
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control
Yaofeng Desmond ZhongNaomi Ehrich Leonard
2020-07-03
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Yuge ShiBrooks PaigePhilip H. S. TorrN. Siddharth
2020-07-02
Generative embeddings of brain collective dynamics using variational autoencoders
Yonatan Sanz PerlHernán BoccacioIgnacio Pérez-IpiñaFederico ZamberlánHelmut LaufsMorten KringelbachGustavo DecoEnzo Tagliazucchi
2020-07-02
VAE-KRnet and its applications to variational Bayes
Xiaoliang WanShuangqing Wei
2020-06-29
Random Partitioning Forest for Point-Wise and Collective Anomaly Detection -- Application to Intrusion Detection
| Pierre-Francois Marteau
2020-06-29
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems
Liwei WangYu-Chin ChanFaez AhmedZhao LiuPing ZhuWei Chen
2020-06-27
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction
Esther Puyol-AntónChen ChenJames R. CloughBram RuijsinkBaldeep S. SidhuJustin GouldBradley PorterMark ElliottVishal MehtaDaniel RueckertChristopher A. RinaldiAndrew P. King
2020-06-24
Simple and Effective VAE Training with Calibrated Decoders
Oleh RybkinKostas DaniilidisSergey Levine
2020-06-23
Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation
Tsubasa TakahashiShun TakagiHajime OnoTatsuya Komatsu
2020-06-19
Manifolds for Unsupervised Visual Anomaly Detection
Louise NaudAlexander Lavin
2020-06-19
Variational Autoencoder with Learned Latent Structure
| Marissa C. ConnorGregory H. CanalChristopher J. Rozell
2020-06-18
Neural Architecture Optimization with Graph VAE
Jian LiYong LiuJiankun LiuWeiping Wang
2020-06-18
A Tutorial on VAEs: From Bayes' Rule to Lossless Compression
| Ronald Yu
2020-06-18
Constraining Variational Inference with Geometric Jensen-Shannon Divergence
| Jacob DeasyNikola SimidjievskiPietro Liò
2020-06-18
Analytical Probability Distributions and EM-Learning for Deep Generative Networks
Randall BalestrieroSebastien ParisRichard G. Baraniuk
2020-06-17
Longitudinal Variational Autoencoder
Siddharth RamchandranGleb TikhonovMiika KoskinenHarri Lähdesmäki
2020-06-17
Rethinking Semi-Supervised Learning in VAEs
| Tom JoySebastian M. SchmonPhilip H. S. TorrN. SiddharthTom Rainforth
2020-06-17
High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder
Nicholas GaoMax WilsonThomas VandalWalter VinciRamakrishna NemaniEleanor Rieffel
2020-06-13
Disentangled Representation Learning and Generation with Manifold Optimization
Arun PandeyMichael FanuelJoachim SchreursJohan A. K. Suykens
2020-06-12
A Variational Approach to Privacy and Fairness
Borja Rodríguez-GálvezRagnar ThobabenMikael Skoglund
2020-06-11
A Generalised Linear Model Framework for Variational Autoencoders based on Exponential Dispersion Families
Robert SicksRalf KornStefanie Schwaar
2020-06-11
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
Tian HanErik NijkampLinqi ZhouBo PangSong-Chun ZhuYing Nian Wu
2020-06-10
Probabilistic Auto-Encoder
| Vanessa BöhmUroš Seljak
2020-06-09
VAEs in the Presence of Missing Data
Mark CollierAlfredo NazabalChristopher K. I. Williams
2020-06-09
tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder
Alex CampbellPietro Liò
2020-06-08
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI
| Chen QinShuo WangChen ChenHuaqi QiuWenjia BaiDaniel Rueckert
2020-06-08
Variational Variance: Simple and Reliable Predictive Variance Parameterization
| Andrew StirnDavid A. Knowles
2020-06-08
Improving Inference for Neural Image Compression
Yibo YangRobert BamlerStephan Mandt
2020-06-07
Variational Auto-encoder for Recommender Systems with Exploration-Exploitation
Yizi ZhangHongxia YangMeimei Liu
2020-06-05
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models
Yun LuoLi-Zhen ZhuZi-Yu WanBao-Liang Lu
2020-06-04
Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors
| Andriy SerdegaDae-Shik Kim
2020-06-02
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems
Gautam KrishnaCo TranMason CarnahanAhmed Tewfik
2020-06-01
Video Instance Segmentation Tracking With a Modified VAE Architecture
Chung-Ching Lin Ying Hung Rogerio Feris Linglin He
2020-06-01
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors
| Andriy SerdegaDae-Shik Kim
2020-05-28
Variational Autoencoder with Embedded Student-$t$ Mixture Model for Authorship Attribution
Benedikt BoenninghoffSteffen ZeilerRobert M. NickelDorothea Kolossa
2020-05-28
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
| Dong Bok LeeSeanie LeeWoo Tae JeongDonghwan KimSung Ju Hwang
2020-05-28
PaccMann$^{RL}$ on SARS-CoV-2: Designing antiviral candidates with conditional generative models
Jannis BornMatteo ManicaJoris CadowGreta MarkertNil Adell MillModestas FilipaviciusMaría Rodríguez Martínez
2020-05-27
Semi-supervised source localization with deep generative modeling
Michael J. BiancoSharon GannotPeter Gerstoft
2020-05-27
Deblending galaxies with Variational Autoencoders: a joint multi-band, multi-instrument approach
Bastien ArcelinCyrille DouxEric AubourgCécile Roucelle
2020-05-25
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
Siamak Zamani DadanehShahin BolukiMingzhang YinMingyuan ZhouXiaoning Qian
2020-05-21
Unsupposable Test-data Generation for Machine-learned Software
Naoto SatoHironobu KurumaHideto Ogawa
2020-05-21
Tessellated Wasserstein Auto-Encoders
Kuo GaiShihua Zhang
2020-05-20
AEVB-Comm: An Intelligent CommunicationSystem based on AEVBs
Raghu Vamshi HemadriAkshay RayaluruRahul Jashvantbhai Pandya
2020-05-19
Unsupervised anomaly localization using VAE and beta-VAE
Leixin ZhouWenxiang DengXiaodong Wu
2020-05-19
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network
Phuoc NguyenTruyen TranSunil GuptaSantu RanaHieu-Chi DamSvetha Venkatesh
2020-05-18
Learning and Inference in Imaginary Noise Models
Saeed Saremi
2020-05-18
On the effectiveness of GAN generated cardiac MRIs for segmentation
Youssef SkandaraniNathan PainchaudPierre-Marc JodoinAlain Lalande
2020-05-18
Inverse design of crystals using generalized invertible crystallographic representation
Zekun RenJuhwan NohSiyu TianFelipe OviedoGuangzong XingQiaohao LiangArmin AberleYi LiuQianxiao LiSenthilnath JayaveluKedar HippalgaonkarYousung JungTonio Buonassisi
2020-05-15
C3VQG: Category Consistent Cyclic Visual Question Generation
| Shagun UppalAnish MadanSarthak BhagatYi YuRajiv Ratn Shah
2020-05-15
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
Saeid Asgari TaghanakiMohammad HavaeiAlex LambAditya SanghiAra DanielyanTonya Custis
2020-05-12
Variational Clustering: Leveraging Variational Autoencoders for Image Clustering
Vignesh PrasadDipanjan DasBrojeshwar Bhowmick
2020-05-10
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching
| Smith W. A. CanchumunJose D. B. CastroJúlia PotratzAlexandre A. EmerickMarco Aurelio C. Pacheco
2020-05-08
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection
| Seonho ParkGeorge AdosoglouPanos M. Pardalos
2020-05-05
Adversarially Robust Representations with Smooth Encoders
Taylan CemgilSumedh GhaisasKrishnamurthy (Dj) DvijothamPushmeet Kohli
2020-05-01
Preventing Posterior Collapse with Levenshtein Variational Autoencoder
Serhii HavrylovIvan Titov
2020-04-30
A Batch Normalized Inference Network Keeps the KL Vanishing Away
| Qile ZhuJianlin SuWei BiXiaojiang LiuXiyao MaXiaolin LiDapeng Wu
2020-04-27
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
Vikash BalasubramanianIvan KobyzevHareesh BahuleyanIlya ShapiroOlga Vechtomova
2020-04-22
Provably robust deep generative models
Filipe CondessaZico Kolter
2020-04-22
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
Chen WuPrince Zizhuang WangWilliam Yang Wang
2020-04-20
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
Mengyue YangFurui LiuZhitang ChenXinwei ShenJianye HaoJun Wang
2020-04-18
Continuous Representation of Molecules Using Graph Variational Autoencoder
Mohammadamin TavakoliPierre Baldi
2020-04-17
Conditioned Variational Autoencoder for top-N item recommendation
| Tommaso CarraroMirko PolatoFabio Aiolli
2020-04-16
ControlVAE: Controllable Variational Autoencoder
Huajie ShaoShuochao YaoDachun SunAston ZhangShengzhong LiuDongxin LiuJun WangTarek Abdelzaher
2020-04-13
Variational Autoencoders with Normalizing Flow Decoders
Rogan MorrowWei-Chen Chiu
2020-04-12
Exemplar based Generation and Data Augmentation using Exemplar VAEs
Sajad NorouziDavid J. FleetMohammad Norouzi
2020-04-09
PatchVAE: Learning Local Latent Codes for Recognition
Kamal GuptaSaurabh SinghAbhinav Shrivastava
2020-04-07
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
| Chunyuan LiXiang GaoYuan LiXiujun LiBaolin PengYizhe ZhangJianfeng Gao
2020-04-05
Epitomic Variational Graph Autoencoder
| Rayyan Ahmad KhanMuhammad Umer AnwaarMartin Kleinsteuber
2020-04-03
Guided Variational Autoencoder for Disentanglement Learning
Zheng DingYifan XuWeijian XuGaurav ParmarYang YangMax WellingZhuowen Tu
2020-04-02
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Vijil ChenthamarakshanPayel DasSamuel C. HoffmanHendrik StrobeltInkit PadhiKar Wai LimBenjamin HooverMatteo ManicaJannis BornTeodoro LainoAleksandra Mojsilovic
2020-04-02
AriEL: volume coding for sentence generation
Luca CelottiSimon BrodeurJean Rouat
2020-03-30
Weakly-Supervised Action Localization by Generative Attention Modeling
| Baifeng ShiQi DaiYadong MuJingdong Wang
2020-03-27
A lower bound for the ELBO of the Bernoulli Variational Autoencoder
Robert SicksRalf KornStefanie Schwaar
2020-03-26
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning
Jongwon ChoiKwang Moo YiJihoon KimJincho ChooByoungjip KimJin-Yeop ChangYoungjune GwonHyung Jin Chang
2020-03-25
Unsupervised Latent Space Translation Network
Magda FriedjungováDaniel VašataTomáš ChobolaMarcel Jiřina
2020-03-20
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
Yaniv YacobyWeiwei PanFinale Doshi-Velez
2020-03-17
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
| Kaspar MärtensChristopher Yau
2020-03-06
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
Zhisheng XiaoQing YanYali Amit
2020-03-06
Deterministic Decoding for Discrete Data in Variational Autoencoders
| Daniil PolykovskiyDmitry Vetrov
2020-03-04
Variational Auto-Encoder: not all failures are equal
Michele SebagVictor BergerMichèle Sebag
2020-03-04
Double Backpropagation for Training Autoencoders against Adversarial Attack
Chengjin SunSizhe ChenXiaolin Huang
2020-03-04
Type I Attack for Generative Models
Chengjin SunSizhe ChenJia CaiXiaolin Huang
2020-03-04
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems
Taisuke Kobayashi
2020-03-04
Generalized Gumbel-Softmax Gradient Estimator for Various Discrete Random Variables
Weonyoung JooDongjun KimSeungjae ShinIl-Chul Moon
2020-03-04
Hallucinative Topological Memory for Zero-Shot Visual Planning
| Kara LiuThanard KurutachChristine TungPieter AbbeelAviv Tamar
2020-02-27
Controllable Level Blending between Games using Variational Autoencoders
Anurag SarkarZhihan YangSeth Cooper
2020-02-27
NestedVAE: Isolating Common Factors via Weak Supervision
Matthew J. VowelsNecati Cihan CamgozRichard Bowden
2020-02-26
Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs
| Varun MannamArman Kazemi
2020-02-26
Progressive Learning and Disentanglement of Hierarchical Representations
| Zhiyuan LiJaideep Vitthal MurkutePrashnna Kumar GyawaliLinwei Wang
2020-02-24
Variance Loss in Variational Autoencoders
Andrea Asperti
2020-02-23
Bidirectional Generative Modeling Using Adversarial Gradient Estimation
| Xinwei ShenTong ZhangKani Chen
2020-02-21
Variational Bayesian Quantization
| Yibo YangRobert BamlerStephan Mandt
2020-02-18
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders
Andrea AspertiMatteo Trentin
2020-02-18
Decision-Making with Auto-Encoding Variational Bayes
Romain LopezPierre BoyeauNir YosefMichael I. JordanJeffrey Regier
2020-02-17
Out-of-Distribution Detection with Distance Guarantee in Deep Generative Models
Yufeng ZhangWanwei LiuZhenbang ChenJi WangZhiming LiuKenli LiHongmei Wei
2020-02-09
Multimodal Controller for Generative Models
Enmao DiaoJie DingVahid Tarokh
2020-02-07
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior
Guangzhi SunYu ZhangRon J. WeissYuan CaoHeiga ZenAndrew RosenbergBhuvana RamabhadranYonghui Wu
2020-02-06
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding
| Guillaume SalhaRomain HennequinJean-Baptiste RemyManuel MoussallamMichalis Vazirgiannis
2020-02-05
CosmoVAE: Variational Autoencoder for CMB Image Inpainting
| Kai YiYi GuoYanan FanJan HamannYu Guang Wang
2020-01-31
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
Dengsheng ChenJun LiZheng WangKai Xu
2020-01-25
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
| Rujikorn CharakornYuttapong ThawornwattanaSirawaj ItthipuripatNick PawlowskiPoramate ManoonpongNat Dilokthanakul
2020-01-24
Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space
Mridul MahajanTryambak BhattacharjeeArya KrishnanPriya ShuklaG C Nandi
2020-01-23
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis
Christopher J. UrbanDaniel J. Bauer
2020-01-22
Simple and Effective Graph Autoencoders with One-Hop Linear Models
| Guillaume SalhaRomain HennequinMichalis Vazirgiannis
2020-01-21
Implicit λ-Jeffreys Autoencoders: Taking the Best of Both Worlds
Aibek AlanovMax KochurovArtem SobolevDaniil YashkovDmitry Vetrov
2020-01-01
Disentangled Representation Learning with Sequential Residual Variational Autoencoder
Nanxiang LiShabnam GhaffarzadeganLiu Ren
2020-01-01
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
| Ilya ShenbinAnton AlekseevElena TutubalinaValentin MalykhSergey I. Nikolenko
2019-12-24
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin DaiZiyu WangDavid Wipf
2019-12-23
Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement
Mostafa SadeghiXavier Alameda-Pineda
2019-12-23
Latent Variables on Spheres for Autoencoders in High Dimensions
Deli ZhaoJiapeng ZhuBo Zhang
2019-12-21
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models
| James TownsendThomas BirdJulius KunzeDavid Barber
2019-12-20
Progressive VAE Training on Highly Sparse and Imbalanced Data
Dmitry UtyamishevInna Partin-Vaisband
2019-12-17
Multimodal Generative Models for Compositional Representation Learning
Mike WuNoah Goodman
2019-12-11
Variational Learning with Disentanglement-PyTorch
| Amir H. AbdiPurang AbolmaesumiSidney Fels
2019-12-11
Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes
Takayuki OsaShuhei Ikemoto
2019-12-09
Information bottleneck through variational glasses
Slava VoloshynovskiyMouad KondahShideh RezaeifarOlga TaranTaras HolotyakDanilo Jimenez Rezende
2019-12-02
A Primal-Dual link between GANs and Autoencoders
Hisham HusainRichard NockRobert C. Williamson
2019-12-01
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection
David ZimmererJens PetersenKlaus Maier-Hein
2019-11-27
Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer
Geoffroy Dubourg-FelonneauYasmeen KussadDominic KirkhamJohn W CassidyNirmesh PatelHarry W Clifford
2019-11-27
Improving VAE generations of multimodal data through data-dependent conditional priors
Frantzeska LavdaMagda GregorováAlexandros Kalousis
2019-11-25
dpVAEs: Fixing Sample Generation for Regularized VAEs
Riddhish BhalodiaIain LeeShireen Elhabian
2019-11-24
Learning Embeddings from Cancer Mutation Sets for Classification Tasks
Geoffroy Dubourg-FelonneauYasmeen KussadDominic KirkhamJohn W CassidyNirmesh PatelHarry W Clifford
2019-11-20
Mixed-curvature Variational Autoencoders
| Ondrej SkopekOctavian-Eugen GaneaGary Bécigneul
2019-11-19
Towards Visually Explaining Variational Autoencoders
| Wenqian LiuRunze LiMeng ZhengSrikrishna KaranamZiyan WuBir BhanuRichard J. RadkeOctavia Camps
2019-11-18
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement
Matthew J. VowelsNecati Cihan CamgozRichard Bowden
2019-11-15
Fourier Spectrum Discrepancies in Deep Network Generated Images
Tarik DzanicKaran ShahFreddie Witherden
2019-11-15
A Stable Variational Autoencoder for Text Modelling
| Ruizhe LiXiao LiChenghua LinMatthew CollinsonRui Mao
2019-11-13
Molecular Generative Model Based On Adversarially Regularized Autoencoder
| Seung Hwan HongJaechang LimSeongok RyuWoo Youn Kim
2019-11-13
Deep Variational Semi-Supervised Novelty Detection
Tal DanielThanard KurutachAviv Tamar
2019-11-12
Rate-Regularization and Generalization in VAEs
Alican BozkurtBabak EsmaeiliDana H. BrooksJennifer G. DyJan-Willem van de Meent
2019-11-11
Preventing Posterior Collapse in Sequence VAEs with Pooling
Teng LongYanshuai CaoJackie Chi Kit Cheung
2019-11-10
Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of Variational Autoencoders
Mostafa SadeghiXavier Alameda-Pineda
2019-11-10
Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior
Amirpasha GhabussiLili MouOlga Vechtomova
2019-11-10
DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems
Shuchismita BiswasRounak MeyurVirgilio Centeno
2019-11-09
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James LucasGeorge TuckerRoger GrosseMohammad Norouzi
2019-11-06
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation
Dong QianWilliam K. Cheung
2019-11-01
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models
Prashnna K GyawaliRudra ShahLinwei WangVSR VeeravasarapuManeesh Singh
2019-10-26
Study of Deep Generative Models for Inorganic Chemical Compositions
Yoshihide SawadaKoji MorikawaMikiya Fujii
2019-10-25
Optimal Transport Based Generative Autoencoders
Oliver ZhangRuei-Sung LinYuchuan Gou
2019-10-16
Label-Conditioned Next-Frame Video Generation with Neural Flows
David Donahue
2019-10-16
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement
Junxiang ChenKayhan Batmanghelich
2019-10-14
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
DeruiWangChaoran LiSheng WenSurya NepalYang Xiang
2019-10-14
A Generative Approach Towards Improved Robotic Detection of Marine Litter
Jungseok HongMichael FultonJunaed Sattar
2019-10-10
A Joint Model for Anomaly Detection and Trend Prediction on IT Operation Series
Run-Qing ChenGuang-Hui ShiWan-Lei ZhaoChang-Hui Liang
2019-10-09
Variational autoencoder reconstruction of complex many-body physics
I. LuchnikovA. RyzhovP. -J. C. StasS. N. FilippovH. Ouerdane
2019-10-09
MIM: Mutual Information Machine
| Micha LivneKevin SwerskyDavid J. Fleet
2019-10-08
Conditional out-of-sample generation for unpaired data using trVAE
Mohammad LotfollahiMohsen NaghipourfarFabian J. TheisF. Alexander Wolf
2019-10-04
DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps
| Laura ManduchiMatthias HüserJulia VogtGunnar RätschVincent Fortuin
2019-10-03
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
| Guillaume SalhaRomain HennequinMichalis Vazirgiannis
2019-10-02
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding
Linxiao Yang Ngai-Man Cheung Jiaying Li Jun Fang
2019-10-01
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation
Victor ProkhorovEhsan ShareghiYingzhen LiMohammad Taher PilehvarNigel Collier
2019-09-30
MG-VAE: Deep Chinese Folk Songs Generation with Specific Regional Style
Jing LuoXinyu YangShulei JiJuan Li
2019-09-29
Implicit Discriminator in Variational Autoencoder
Prateek MunjalAkanksha PaulNarayanan C. Krishnan
2019-09-28
"Best-of-Many-Samples" Distribution Matching
Apratim BhattacharyyaMario FritzBernt Schiele
2019-09-27
Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data
Nishant GurunathSai Krishna RallabandiAlan Black
2019-09-25
Learning to Conceal: A Deep Learning Based Method for Preserving Privacy and Avoiding Prejudice
Moshe HanukogluNissan GoldbergAviv RovshitzAmos Azaria
2019-09-19
Scalable Deep Unsupervised Clustering with Concrete GMVAEs
Mark CollierHector Urdiales
2019-09-18
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling
Sergio GarridoStanislav S. BorysovFrancisco C. PereiraJeppe Rich
2019-09-17
Many-to-Many Voice Conversion using Cycle-Consistent Variational Autoencoder with Multiple Decoders
Keonnyeong LeeIn-Chul YooDongsuk Yook
2019-09-15
$ρ$-VAE: Autoregressive parametrization of the VAE encoder
| Sohrab FerdowsiMaurits DiephuisShideh RezaeifarSlava Voloshynovskiy
2019-09-13
Generating Data using Monte Carlo Dropout
Kristian MiokDong Nguyen-DoanDaniela ZaharieMarko Robnik-Šikonja
2019-09-12
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
Shuyu LinStephen RobertsNiki TrigoniRonald Clark
2019-09-09
Neural Gaussian Copula for Variational Autoencoder
Prince Zizhuang WangWilliam Yang Wang
2019-09-09
MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation
Xia LiangJunmin WuJing Cao
2019-09-08
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement
Minyoung KimYuting WangPritish SahuVladimir Pavlovic
2019-09-06
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
Jan StühmerRichard E. TurnerSebastian Nowozin
2019-09-05
Improving Disentangled Representation Learning with the Beta Bernoulli Process
Prashnna Kumar GyawaliZhiyuan LiCameron KnightSandesh GhimireB. Milan HoracekJohn SappLinwei Wang
2019-09-03
Document Hashing with Mixture-Prior Generative Models
Wei DongQinliang SuDinghan ShenChangyou Chen
2019-08-29
PaccMann$^{RL}$: Designing anticancer drugs from transcriptomic data via reinforcement learning
| Jannis BornMatteo ManicaAli OskooeiJoris CadowKarsten BorgwardtMaría Rodríguez Martínez
2019-08-29
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein SadeghiEvgeny AndriyashWalter VinciLorenzo BuffoniMohammad H. Amin
2019-08-26
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs
| Victor GallegoDavid Rios Insua
2019-08-26
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma
| Samuel I. BerchuckFelipe A. MedeirosSayan Mukherjee
2019-08-24
Improve variational autoEncoder with auxiliary softmax multiclassifier
Yao Li
2019-08-17
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders
Esther Puyol-AntónBram RuijsinkJames R. CloughIlkay OksuzDaniel RueckertReza RazaviAndrew P. King
2019-08-13
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model
| Wenbo GongSebastian TschiatschekRichard TurnerSebastian NowozinJosé Miguel Hernández-LobatoCheng Zhang
2019-08-13
SDM-NET: Deep Generative Network for Structured Deformable Mesh
Lin GaoJie YangTong WuYu-Jie YuanHongbo FuYu-Kun LaiHao Zhang
2019-08-13
Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning
Felix BerkhahnRichard KeysWajih OuertaniNikhil ShettyDominik Geißler
2019-08-08
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders
Mostafa SadeghiSimon LeglaiveXavier Alameda-PInedaLaurent GirinRadu Horaud
2019-08-07
Mesh Variational Autoencoders with Edge Contraction Pooling
Yu-Jie YuanYu-Kun LaiJie YangHongbo FuLin Gao
2019-08-07
Learning to Dress 3D People in Generative Clothing
| Qianli MaJinlong YangAnurag RanjanSergi PujadesGerard Pons-MollSiyu TangMichael J. Black
2019-07-31
Style Conditioned Recommendations
Murium IqbalKamelia AryafarTimothy Anderton
2019-07-25
Noise Contrastive Variational Autoencoders
Octavian-Eugen GaneaYashas AnnadaniGary Bécigneul
2019-07-23
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
Gabriel Loaiza-GanemJohn P. Cunningham
2019-07-16
FMRI data augmentation via synthesis
Peiye ZhuangAlexander G. SchwingSanmi Koyejo
2019-07-13
retina-VAE: Variationally Decoding the Spectrum of Macular Disease
Stephen G. Odaibo
2019-07-11
Out-of-Distribution Detection Using Neural Rendering Generative Models
Yujia HuangSihui DaiTan NguyenRichard G. BaraniukAnima Anandkumar
2019-07-10
GP-VAE: Deep Probabilistic Time Series Imputation
Vincent FortuinDmitry BaranchukGunnar RätschStephan Mandt
2019-07-09
VELC: A New Variational AutoEncoder Based Model for Time Series Anomaly Detection
Chunkai ZhangShaocong LiHongye ZhangYingyang Chen
2019-07-03
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization
Jwala DhamalaSandesh GhimireJohn L. SappB. Milan HoracekLinwei Wang
2019-07-01
Query-based Deep Improvisation
| Shlomo Dubnov
2019-06-21
Disentangled Inference for GANs with Latently Invertible Autoencoder
| Jiapeng ZhuDeli ZhaoBo ZhangBolei Zhou
2019-06-19
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
| Wenxian ShiHao ZhouNing MiaoLei Li
2019-06-16
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders
Taichi SumiBrian Kenji IwanaHideaki HayashiSeiichi Uchida
2019-06-14
Reweighted Expectation Maximization
| Adji B. DiengJohn Paisley
2019-06-13
A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation
Steven SquiresAdam Prügel BennettMahesan Niranjan
2019-06-13
Generating and Exploiting Probabilistic Monocular Depth Estimates
Zhihao XiaPatrick SullivanAyan Chakrabarti
2019-06-13
Using generative modelling to produce varied intonation for speech synthesis
| Zack HodariOliver WattsSimon King
2019-06-10
Strategies to architect AI Safety: Defense to guard AI from Adversaries
Rajagopal. ANirmala. V
2019-06-08
Learning to regularize with a variational autoencoder for hydrologic inverse analysis
Daniel O'MalleyJohn K. GoldenVelimir V. Vesselinov
2019-06-06
Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training
Xianxu HouKe SunLinlin ShenGuoping Qiu
2019-06-04
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder
Shichen CaoJingjing LiKenric P. NelsonMark A. Kon
2019-06-03
Improving VAEs' Robustness to Adversarial Attack
Matthew WillettsAlexander CamutoTom RainforthStephen RobertsChris Holmes
2019-06-01
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder
Haowen XuWenxiao ChenJinlin LaiZhihan LiYoujian ZhaoDan Pei
2019-05-31
All SMILES Variational Autoencoder
Zaccary AlpersteinArtem CherkasovJason Tyler Rolfe
2019-05-30
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
| Dayiheng LiuJie FuYidan ZhangChris PalJiancheng Lv
2019-05-29
Wyner VAE: Joint and Conditional Generation with Succinct Common Representation Learning
J. Jon RyuYoojin ChoiYoung-Han KimMostafa El-KhamyJungwon Lee
2019-05-27
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
Bingchen LiuYizhe ZhuZuohui FuGerard de MeloAhmed Elgammal
2019-05-26
Gravity-Inspired Graph Autoencoders for Directed Link Prediction
| Guillaume SalhaStratis LimniosRomain HennequinViet Anh TranMichalis Vazirgiannis
2019-05-23
Robust Variational Autoencoder
Haleh AkramiAnand A. JoshiJian LiSergul AydoreRichard M. Leahy
2019-05-23
An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE
Tianye ZhangHaozhe FengZexian ChenCan WangYanhao HuangYong TangWei Chen
2019-05-22
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders
Avi CaciularuDavid Burshtein
2019-05-21
Joint haze image synthesis and dehazing with mmd-vae losses
Zongliang LiChi ZhangGaofeng MengYuehu Liu
2019-05-15
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential
Sandesh GhimireJwala DhamalaPrashnna Kumar GyawaliJohn L SappB. Milan HoracekLinwei Wang
2019-05-12
Adversarial Variational Embedding for Robust Semi-supervised Learning
| Xiang ZhangLina YaoFeng Yuan
2019-05-07
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders
Manuel ParienteAntoine DeleforgeEmmanuel Vincent
2019-05-03
Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion
Wen-Chin HuangYi-Chiao WuChen-Chou LoPatrick Lumban TobingTomoki HayashiKazuhiro KobayashiTomoki TodaYu TsaoHsin-Min Wang
2019-05-02
Variational Sparse Coding
Francesco TonoliniBjorn Sand JensenRoderick Murray-Smith
2019-05-01
Non-Synergistic Variational Autoencoders
Gonzalo BarrientosSten Sootla
2019-05-01
Towards a better understanding of Vector Quantized Autoencoders
Aurko RoyAshish VaswaniNiki ParmarArvind Neelakantan
2019-05-01
Learning Latent Semantic Representation from Pre-defined Generative Model
Jin-Young KimSung-Bae Cho
2019-05-01
Deep Generative Models for learning Coherent Latent Representations from Multi-Modal Data
Timo KorthalsMarc HesseJürgen Leitner
2019-05-01
ISA-VAE: Independent Subspace Analysis with Variational Autoencoders
Jan StühmerRichard TurnerSebastian Nowozin
2019-05-01
PIE: Pseudo-Invertible Encoder
Jan Jetze BeitlerIvan SosnovikArnold Smeulders
2019-05-01
Variational Domain Adaptation
Hirono OkamotoShohei OhsawaItto HiguchiHaruka MurakamiMizuki SangoZhenghang CuiMasahiro SuzukiHiroshi KajinoYutaka Matsuo
2019-05-01
Generated Loss and Augmented Training of MNIST VAE
Jason Chou
2019-04-24
Generated Loss, Augmented Training, and Multiscale VAE
| Jason ChouGautam Hathi
2019-04-23
TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
Wayne WuKaidi CaoCheng LiChen QianChen Change Loy
2019-04-21
Distributed generation of privacy preserving data with user customization
Xiao ChenThomas NavidiStefano ErmonRam Rajagopal
2019-04-20
Catch Me If You Can
Antoine ViscardiCasey Juanxi LiThomas Hollis
2019-04-18
Variational AutoEncoder For Regression: Application to Brain Aging Analysis
| Qingyu ZhaoEhsan AdeliNicolas HonnoratTuo LengKilian M. Pohl
2019-04-11
Teaching GANs to Sketch in Vector Format
Varshaneya VS BalasubramanianVineeth N Balasubramanian
2019-04-07
A Variational Auto-Encoder Model for Stochastic Point Processes
Nazanin MehrasaAkash Abdu JyothiThibaut DurandJiawei HeLeonid SigalGreg Mori
2019-04-05
Variational Adversarial Active Learning
| Samarth SinhaSayna EbrahimiTrevor Darrell
2019-03-31
From Variational to Deterministic Autoencoders
| Partha GhoshMehdi S. M. SajjadiAntonio VergariMichael BlackBernhard Schölkopf
2019-03-29
An Alarm System For Segmentation Algorithm Based On Shape Model
Fengze LiuYingda XiaDong YangAlan YuilleDaguang Xu
2019-03-26
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing
| Hao FuChunyuan LiXiaodong LiuJianfeng GaoAsli CelikyilmazLawrence Carin
2019-03-25
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin XianSaurabh SharmaBernt SchieleZeynep Akata
2019-03-25
Generative Models For Deep Learning with Very Scarce Data
Juan MaroñasRoberto ParedesDaniel Ramos
2019-03-21
Diagnosing and Enhancing VAE Models
| Bin DaiDavid Wipf
2019-03-14
A Degeneracy Framework for Scalable Graph Autoencoders
| Guillaume SalhaRomain HennequinViet Anh TranMichalis Vazirgiannis
2019-02-23
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins
Jérôme TubianaSimona CoccoRémi Monasson
2019-02-18
WiSE-ALE: Wide Sample Estimator for Approximate Latent Embedding
Shuyu LinRonald ClarkRobert BirkeNiki TrigoniStephen Roberts
2019-02-16
Contrastive Variational Autoencoder Enhances Salient Features
| Abubakar AbidJames Zou
2019-02-12
Truncated Gaussian-Mixture Variational AutoEncoder
Qingyu ZhaoNicolas HonnoratEhsan AdeliKilian M. Pohl
2019-02-11
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
| Lars MaaløeMarco FraccaroValentin LiévinOle Winther
2019-02-06
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping
Punarjay ChakravartyPraveen NarayananTom Roussel
2019-02-06
Relevance Factor VAE: Learning and Identifying Disentangled Factors
| Minyoung KimYuting WangPritish SahuVladimir Pavlovic
2019-02-05
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds
Hisham HusainRichard NockRobert C. Williamson
2019-02-03
A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids
Qiuyu ZhuRuixin Zhang
2019-02-01
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models
Dinghan ShenAsli CelikyilmazYizhe ZhangLiqun ChenXin WangJianfeng GaoLawrence Carin
2019-02-01
Uncertainty Quantification in Deep MRI Reconstruction
Vineet EdupugantiMorteza MardaniShreyas VasanawalaJohn Pauly
2019-01-31
Unsupervised speech representation learning using WaveNet autoencoders
| Jan ChorowskiRon J. WeissSamy BengioAäron van den Oord
2019-01-25
Deep Generative Learning via Variational Gradient Flow
| Yuan GaoYuling JiaoYang WangYao WangCan YangShunkang Zhang
2019-01-24
MONet: Unsupervised Scene Decomposition and Representation
| Christopher P. BurgessLoic MattheyNicholas WattersRishabh KabraIrina HigginsMatt BotvinickAlexander Lerchner
2019-01-22
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
| Junxian HeDaniel SpokoynyGraham NeubigTaylor Berg-Kirkpatrick
2019-01-16
Practical Lossless Compression with Latent Variables using Bits Back Coding
| James TownsendTom BirdDavid Barber
2019-01-15
Dirichlet Variational Autoencoder
Weonyoung JooWonsung LeeSungrae ParkIl-Chul Moon
2019-01-09
Tree Tensor Networks for Generative Modeling
Song ChengLei WangTao XiangPan Zhang
2019-01-08
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Xuezhe MaChunting ZhouEduard Hovy
2019-01-06
Can VAEs Generate Novel Examples?
Alican BozkurtBabak EsmaeiliDana H. BrooksJennifer G. DyJan-Willem van de Meent
2018-12-22
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions
| Zhilin ZhengLi Sun
2018-12-22
Variational Autoencoders Pursue PCA Directions (by Accident)
Michal RolinekDominik ZietlowGeorg Martius
2018-12-17
Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier
Li LiHirokazu KameokaShoji Makino
2018-12-16
Learning Latent Subspaces in Variational Autoencoders
Jack KlysJake SnellRichard Zemel
2018-12-14
A Probe Towards Understanding GAN and VAE Models
Lu MiMacheng ShenJingzhao Zhang
2018-12-13
Learning latent representations for style control and transfer in end-to-end speech synthesis
| Ya-Jie ZhangShifeng PanLei HeZhen-Hua Ling
2018-12-11
Adversarial Defense of Image Classification Using a Variational Auto-Encoder
| Yi LuoHenry Pfister
2018-12-07
Disentangling Disentanglement in Variational Autoencoders
| Emile MathieuTom RainforthN. SiddharthYee Whye Teh
2018-12-06
Embedding-reparameterization procedure for manifold-valued latent variables in generative models
| Eugene GolikovMaksim Kretov
2018-12-06
Variational Autoencoding the Lagrangian Trajectories of Particles in a Combustion System
| Pai LiuJingwei GanRajan K. Chakrabarty
2018-11-29
Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion
Wen-Chin HuangYi-Chiao WuHsin-Te HwangPatrick Lumban TobingTomoki HayashiKazuhiro KobayashiTomoki TodaYu TsaoHsin-Min Wang
2018-11-27
Sequential Variational Autoencoders for Collaborative Filtering
| Noveen SachdevaGiuseppe MancoEttore RitaccoVikram Pudi
2018-11-25
An Interpretable Generative Model for Handwritten Digit Image Synthesis
Yao ZhuSaksham SuriPranav KulkarniYueru ChenJiali DuanC. -C. Jay Kuo
2018-11-11
Disentangling Latent Factors of Variational Auto-Encoder with Whitening
Sangchul HahnHeeyoul Choi
2018-11-08
TzK Flow - Conditional Generative Model
Micha LivneDavid J. Fleet
2018-11-05
Simple, Distributed, and Accelerated Probabilistic Programming
| Dustin TranMatthew HoffmanDave MooreChristopher SuterSrinivas VasudevanAlexey RadulMatthew JohnsonRif A. Saurous
2018-11-05
Audio Source Separation Using Variational Autoencoders and Weak Class Supervision
Ertuğ KaramatlıAli Taylan CemgilSerap Kırbız
2018-10-31
Resampled Priors for Variational Autoencoders
Matthias BauerAndriy Mnih
2018-10-26
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
Payel DasKahini WadhawanOscar ChangTom SercuCicero Dos SantosMatthew RiemerVijil ChenthamarakshanInkit PadhiAleksandra Mojsilovic
2018-10-17
Deep Generative Video Compression
Jun HanSalvator LombardoChristopher SchroersStephan Mandt
2018-10-05
Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation
Shogo SekiHirokazu KameokaLi LiTomoki TodaKazuya Takeda
2018-09-29
Encoding Robust Representation for Graph Generation
| Dongmian ZouGilad Lerman
2018-09-28
Open-Ended Content-Style Recombination Via Leakage Filtering
Karl RidgewayMichael C. Mozer
2018-09-28
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels
Maxime LangevinEdouard MehlmanJeffrey RegierRomain LopezMichael I. JordanNir Yosef
2018-09-16
Variational Autoencoder with Implicit Optimal Priors
| Hiroshi TakahashiTomoharu IwataYuki YamanakaMasanori YamadaSatoshi Yagi
2018-09-14
Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder
| Raphael Schumann
2018-09-14
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
| Abdul Fatir AnsariHarold Soh
2018-09-12
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation
Timo KorthalsJürgen LeitnerUlrich Rückert
2018-09-12
Classification by Re-generation: Towards Classification Based on Variational Inference
| Shideh RezaeifarOlga TaranSlava Voloshynovskiy
2018-09-10
Molecular Hypergraph Grammar with its Application to Molecular Optimization
Hiroshi Kajino
2018-09-08
Discovering Influential Factors in Variational Autoencoder
Shiqi LiuJingxin LiuQian ZhaoXiangyong CaoHuibin LiHongying MengSheng LiuDeyu Meng
2018-09-06
Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders
| Wen-Chin HuangHsin-Te HwangYu-Huai PengYu TsaoHsin-Min Wang
2018-08-29
Scalable Population Synthesis with Deep Generative Modeling
| Stanislav S. BorysovJeppe RichFrancisco C. Pereira
2018-08-21
Synthetic Patient Generation: A Deep Learning Approach Using Variational Autoencoders
Ally Salim Jr
2018-08-20
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder
| Hirokazu KameokaTakuhiro KanekoKou TanakaNobukatsu Hojo
2018-08-13
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
Vineeth RakeshRuocheng GuoRaha MoraffahNitin AgarwalHuan Liu
2018-08-09
Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia
Prashnna K GyawaliB. Milan HoracekJohn L. SappLinwei Wang
2018-08-04
Bounded Information Rate Variational Autoencoders
D. T. BraithwaiteW. B. Kleijn
2018-07-19
Item Recommendation with Variational Autoencoders and Heterogenous Priors
Giannis KaramanolakisKevin Raji CherianAnanth Ravi NarayanJie YuanDa TangTony Jebara
2018-07-17
Variational Inference: A Unified Framework of Generative Models and Some Revelations
Jianlin Su
2018-07-16
A Hybrid Variational Autoencoder for Collaborative Filtering
Kilol GuptaMukund Yelahanka RaghuprasadPankhuri Kumar
2018-07-14
Explorations in Homeomorphic Variational Auto-Encoding
| Luca FalorsiPim de HaanTim R. DavidsonNicola De CaoMaurice WeilerPatrick ForréTaco S. Cohen
2018-07-12
Avoiding Latent Variable Collapse With Generative Skip Models
Adji B. DiengYoon KimAlexander M. RushDavid M. Blei
2018-07-12
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
| Rosanne LiuJoel LehmanPiero MolinoFelipe Petroski SuchEric FrankAlex SergeevJason Yosinski
2018-07-09
A Variational Time Series Feature Extractor for Action Prediction
Maxime ChaverocheAdrien MalaiséFrancis ColasFrançois CharpilletSerena Ivaldi
2018-07-06
Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder
| Kaixin HuPeter O'Connor
2018-07-05
New Losses for Generative Adversarial Learning
Victor BergerMichèle Sebag
2018-07-03
Anomaly Detection for Skin Disease Images Using Variational Autoencoder
Yuchen LuPeng Xu
2018-07-03
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis
Samuel K. AinsworthNicholas J. FotiAdrian K. C. LeeEmily B. Fox
2018-07-01
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation
| Hareesh BahuleyanLili MouHao ZhouOlga Vechtomova
2018-06-22
Improving latent variable descriptiveness with AutoGen
Alex MansbridgeRoberto FierimonteIlya FeigeDavid Barber
2018-06-12
q-Space Novelty Detection with Variational Autoencoders
| Aleksei VasilevVladimir GolkovMarc MeissnerIlona LippEleonora SgarlataValentina TomassiniDerek K. JonesDaniel Cremers
2018-06-08
Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder
Rogelio Andrade MancisidorMichael KampffmeyerKjersti AasRobert Jenssen
2018-06-07
Deep learning based inverse method for layout design
Yujie ZhangWenjing Ye
2018-06-07
Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech
Aditya DeshpandeJyoti AnejaLiwei WangAlexander SchwingD. A. Forsyth
2018-05-31
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
| Xiaodong GuKyunghyun ChoJung-Woo HaSunghun Kim
2018-05-31
Theory and Experiments on Vector Quantized Autoencoders
| Aurko RoyAshish VaswaniArvind NeelakantanNiki Parmar
2018-05-28
Amortized Inference Regularization
Rui ShuHung H. BuiShengjia ZhaoMykel J. KochenderferStefano Ermon
2018-05-23
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding
| Ga WuJustin DomkeScott Sanner
2018-05-20
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation
| Salman H. KhanMunawar HayatNick Barnes
2018-04-27
Mask-aware Photorealistic Face Attribute Manipulation
Ruoqi SunChen HuangJianping ShiLizhuang Ma
2018-04-24
Functional Generative Design: An Evolutionary Approach to 3D-Printing
Cem C. TutumSupawit ChockchowwatEtienne VougaRisto Miikkulainen
2018-04-19
Group Anomaly Detection using Deep Generative Models
| Raghavendra ChalapathyEdward TothSanjay Chawla
2018-04-13
Binge Watching: Scaling Affordance Learning from Sitcoms
Xiaolong WangRohit GirdharAbhinav Gupta
2018-04-09
Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder
Kei AkuzawaYusuke IwasawaYutaka Matsuo
2018-04-06
Training VAEs Under Structured Residuals
| Garoe DortaSara VicenteLourdes AgapitoNeill D. F. CampbellIvor Simpson
2018-04-03
Hyperspherical Variational Auto-Encoders
| Tim R. DavidsonLuca FalorsiNicola De CaoThomas KipfJakub M. Tomczak
2018-04-03
Variational Message Passing with Structured Inference Networks
| Wu LinNicolas HubacherMohammad Emtiyaz Khan
2018-03-15
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
| Adam RobertsJesse EngelColin RaffelCurtis HawthorneDouglas Eck
2018-03-13
Learning from Noisy Web Data with Category-level Supervision
Li NiuQingtao TangAshok VeeraraghavanAshu Sabharwal
2018-03-10
Disentangled Sequential Autoencoder
| Yingzhen LiStephan Mandt
2018-03-08
Blind Channel Equalization using Variational Autoencoders
Avi CaciularuDavid Burshtein
2018-03-05
Degeneration in VAE: in the Light of Fisher Information Loss
Huangjie ZhengJiangchao YaoYa ZhangIvor W. Tsang
2018-02-19
Interpretable VAEs for nonlinear group factor analysis
Samuel AinsworthNicholas FotiAdrian KC LeeEmily Fox
2018-02-17
Auto-Encoding Total Correlation Explanation
Shuyang GaoRob BrekelmansGreg Ver SteegAram Galstyan
2018-02-16
Quantum Variational Autoencoder
Amir KhoshamanWalter VinciBrandon DenisEvgeny AndriyashHossein SadeghiMohammad H. Amin
2018-02-15
TVAE: Triplet-Based Variational Autoencoder using Metric Learning
| Haque IshfaqAssaf HoogiDaniel Rubin
2018-02-13
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
| Haowen XuWenxiao ChenNengwen ZhaoZeyan LiJiahao BuZhihan LiYing LiuYoujian ZhaoDan PeiYang FengJie ChenZhaogang WangHonglin Qiao
2018-02-12
Preliminary theoretical troubleshooting in Variational Autoencoder
Shiqi LiuQian ZhaoXiangyong CaoDeyu MengZilu MaTao Yu
2018-01-01
The Mutual Autoencoder: Controlling Information in Latent Code Representations
Mary PhuongMax WellingNate KushmanRyota TomiokaSebastian Nowozin
2018-01-01
Interpretable Classification via Supervised Variational Autoencoders and Differentiable Decision Trees
Eleanor QuintGarrett WirkaJacob WilliamsStephen ScottN.V. Vinodchandran
2018-01-01
Evaluation of generative networks through their data augmentation capacity
Timothée LesortFlorian BordesJean-Francois GoudouDavid Filliat
2018-01-01
Feature Map Variational Auto-Encoders
Lars MaaløeOle Winther
2018-01-01
The Information-Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Modeling
Shengjia ZhaoJiaming SongStefano Ermon
2018-01-01
Nonparametric Inference for Auto-Encoding Variational Bayes
Erik BodinIman MalikCarl Henrik EkNeill D. F. Campbell
2017-12-18
Concept Formation and Dynamics of Repeated Inference in Deep Generative Models
Yoshihiro NaganoRyo KarakidaMasato Okada
2017-12-12
Spatial PixelCNN: Generating Images from Patches
Nader AkouryAnh Nguyen
2017-12-03
Text Generation Based on Generative Adversarial Nets with Latent Variable
| Heng WangZengchang QinTao Wan
2017-12-01
MR image reconstruction using deep density priors
Kerem C. TezcanChristian F. BaumgartnerRoger LuechingerKlaas P. PruessmannEnder Konukoglu
2017-11-30
Hybrid VAE: Improving Deep Generative Models using Partial Observations
Sergey TulyakovAndrew FitzgibbonSebastian Nowozin
2017-11-30
Variational Encoding of Complex Dynamics
| Carlos X. HernándezHannah K. Wayment-SteeleMohammad M. SultanBrooke E. HusicVijay S. Pande
2017-11-23
A Classifying Variational Autoencoder with Application to Polyphonic Music Generation
Jay A. HennigAkash UmakanthaRyan C. Williamson
2017-11-19
Zero-Shot Learning via Class-Conditioned Deep Generative Models
Wenlin WangYunchen PuVinay Kumar VermaKai FanYizhe ZhangChangyou ChenPiyush RaiLawrence Carin
2017-11-15
Learnable Explicit Density for Continuous Latent Space and Variational Inference
Chin-Wei HuangAhmed TouatiLaurent DinhMichal DrozdzalMohammad HavaeiLaurent CharlinAaron Courville
2017-10-06
Disentangled Variational Auto-Encoder for Semi-supervised Learning
Yang LiQuan PanSuhang WangHaiyun PengTao YangErik Cambria
2017-09-15
A Deep Generative Framework for Paraphrase Generation
Ankush GuptaArvind AgarwalPrawaan SinghPiyush Rai
2017-09-15
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories
Yajing ChenShikui TuYuqi YiLei Xu
2017-09-13
Symmetric Variational Autoencoder and Connections to Adversarial Learning
| Liqun ChenShuyang DaiYunchen PuChunyuan LiQinliang SuLawrence Carin
2017-09-06
Geometric Enclosing Networks
Trung LeHung VuTu Dinh NguyenDinh Phung
2017-08-16
Statistics of Deep Generated Images
| Yu ZengHuchuan LuAli Borji
2017-08-09
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures
Jonas MuellerDavid GiffordTommi Jaakkola
2017-08-01
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures
Gaëtan HadjeresFrank NielsenFrançois Pachet
2017-07-14
Hidden Talents of the Variational Autoencoder
| Bin DaiYu WangJohn AstonGang HuaDavid Wipf
2017-06-16
Tackling Over-pruning in Variational Autoencoders
Serena YeungAnitha KannanYann DauphinLi Fei-Fei
2017-06-09
On Unifying Deep Generative Models
Zhiting HuZichao YangRuslan SalakhutdinovEric P. Xing
2017-06-02
Generative Models of Visually Grounded Imagination
Ramakrishna VedantamIan FischerJonathan HuangKevin Murphy
2017-05-30
Investigation of Using VAE for i-Vector Speaker Verification
Timur PekhovskyMaxim Korenevsky
2017-05-25
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
| Lei CaiHongyang GaoShuiwang Ji
2017-05-19
The Pose Knows: Video Forecasting by Generating Pose Futures
Jacob WalkerKenneth MarinoAbhinav GuptaMartial Hebert
2017-04-28
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
| Irina HigginsLoic MattheyArka PalChristopher BurgessXavier GlorotMatthew BotvinickShakir MohamedAlexander Lerchner
2017-04-26
Learning Latent Representations for Speech Generation and Transformation
Wei-Ning HsuYu ZhangJames Glass
2017-04-13
DeepCoder: Semi-parametric Variational Autoencoders for Automatic Facial Action Coding
Dieu Linh TranRobert WaleckiOgnjen RudovicStefanos EleftheriadisBjørn SchullerMaja Pantic
2017-04-07
Towards Deeper Understanding of Variational Autoencoding Models
| Shengjia ZhaoJiaming SongStefano Ermon
2017-02-28
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
| Zichao YangZhiting HuRuslan SalakhutdinovTaylor Berg-Kirkpatrick
2017-02-27
Adversarial examples for generative models
| Jernej KosIan FischerDawn Song
2017-02-22
A Hybrid Convolutional Variational Autoencoder for Text Generation
| Stanislau SemeniutaAliaksei SeverynErhardt Barth
2017-02-08
Authoring image decompositions with generative models
Jason RockTheerasit IssaranonAditya DeshpandeDavid Forsyth
2016-12-05
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures
| Gaurav MittalTanya MarwahVineeth N. Balasubramanian
2016-11-30
Semantic Facial Expression Editing using Autoencoded Flow
Raymond YehZiwei LiuDan B GoldmanAseem Agarwala
2016-11-30
Improving Variational Auto-Encoders using Householder Flow
Jakub M. TomczakMax Welling
2016-11-29
Deep Variational Inference Without Pixel-Wise Reconstruction
Siddharth AgrawalAmbedkar Dukkipati
2016-11-16
PixelVAE: A Latent Variable Model for Natural Images
Ishaan GulrajaniKundan KumarFaruk AhmedAdrien Ali TaigaFrancesco VisinDavid VazquezAaron Courville
2016-11-15
Variational Lossy Autoencoder
Xi ChenDiederik P. KingmaTim SalimansYan DuanPrafulla DhariwalJohn SchulmanIlya SutskeverPieter Abbeel
2016-11-08
Deep Feature Consistent Variational Autoencoder
| Xianxu HouLinlin ShenKe SunGuoping Qiu
2016-10-02
Neural Photo Editing with Introspective Adversarial Networks
| Andrew BrockTheodore LimJ. M. RitchieNick Weston
2016-09-22
Gaussian Copula Variational Autoencoders for Mixed Data
Suwon SuhSeungjin Choi
2016-04-18
Discriminative Regularization for Generative Models
| Alex LambVincent DumoulinAaron Courville
2016-02-09
Autoencoding beyond pixels using a learned similarity metric
| Anders Boesen Lindbo LarsenSøren Kaae SønderbyHugo LarochelleOle Winther
2015-12-31
Cascading Denoising Auto-Encoder as a Deep Directed Generative Model
Dong-Hyun Lee
2015-11-23
Importance Weighted Autoencoders
| Yuri BurdaRoger GrosseRuslan Salakhutdinov
2015-09-01
Auto-Encoding Variational Bayes
| Diederik P KingmaMax Welling
2013-12-20

Tasks

TASK PAPERS SHARE
Image Generation 18 5.83%
Anomaly Detection 17 5.50%
Density Estimation 13 4.21%
Text Generation 13 4.21%
Time Series 12 3.88%
Language Modelling 11 3.56%
adversarial training 8 2.59%
Omniglot 8 2.59%
Music Generation 6 1.94%

Components

COMPONENT TYPE
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories