Ladder Variational Autoencoders

6 February 2016

Papers citing "Ladder Variational Autoencoders"

50 / 177 papers shown

Title
Semi-supervised classification using a supervised autoencoder for biomedical applications Cyprien Gille F. Guyard Michel Barlaud 21 3 0 22 Aug 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xing Xie 41 21 0 13 Jul 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 26 2 0 20 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 39 82 0 07 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 27 5 0 01 Jun 2022
Structured Uncertainty in the Observation Space of Variational Autoencoders James A. G. Langley M. Monteiro Charles Jones Nick Pawlowski Ben Glocker CML OOD BDL DRL 39 2 0 25 May 2022
Physics-aware Reduced-order Modeling of Transonic Flow via $β$ -Variational Autoencoder Yu-Eop Kang Sunwoong Yang K. Yee DRL AI4CE 19 25 0 02 May 2022
SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks Jacobie Mouton Steve Kroon DRL BDL 20 0 0 23 Apr 2022
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE Xiaoyu Bie Wen Guo Simon Leglaive Laurent Girin Francesc Moreno-Noguer Xavier Alameda-Pineda VGen 3DH 35 13 0 04 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 29 28 0 25 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 31 12 0 18 Mar 2022
Image Super-Resolution With Deep Variational Autoencoders Darius Chira Ilian Haralampiev Ole Winther Andrea Dittadi Valentin Liévin DRL 35 32 0 17 Mar 2022
MSPred: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks Angel Villar-Corrales Ani J. Karapetyan Andreas Boltres Sven Behnke 27 11 0 17 Mar 2022
Long Document Summarization with Top-down and Bottom-up Inference Bo Pang Erik Nijkamp Wojciech Kry'sciñski Silvio Savarese Yingbo Zhou Caiming Xiong RALM BDL 24 55 0 15 Mar 2022
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI Sofie Tilborghs J. Bogaert F. Maes 25 6 0 02 Mar 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin Lars Maaløe Christian Igel BDL AI4TS SSL 19 11 0 01 Mar 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 75 17 0 22 Feb 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 31 3 0 22 Feb 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo I. Peis Chao Ma José Miguel Hernández-Lobato BDL DRL 16 14 0 09 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming Eleonora Misino G. Marra Emanuele Sansone 24 21 0 07 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 33 114 0 02 Jan 2022
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion Anthony Bourached Robert J. Gray Xiaodong Guan Ryan-Rhys Griffiths A. Jha P. Nachev 3DH DRL 14 1 0 24 Nov 2021
Relay Variational Inference: A Method for Accelerated Encoderless VI Amir Zadeh Santiago Benoit Louis-Philippe Morency DRL 17 1 0 26 Oct 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 24 26 0 10 Sep 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance Fahim Faisal Niloy M. A. Amin A. K. M. Mahbubur Rahman A. Ali DRL 30 0 0 29 Aug 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 38 156 0 19 Aug 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 40 638 0 22 Jul 2021
Parameterization of Forced Isotropic Turbulent Flow using Autoencoders and Generative Adversarial Networks Kanishk Tanishk Nandal Prince Tyagi R. Singh GAN OOD AI4CE 15 0 0 08 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 34 1 0 05 Jul 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network Zhibin Duan Dongsheng Wang Bo Chen Chaojie Wang Wenchao Chen Yewen Li Jie Ren Mingyuan Zhou BDL 37 39 0 30 Jun 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 30 10 0 25 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 0 10 Jun 2021
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works A. Shoeibi Parisa Moridian Marjane Khodatars Navid Ghassemi M. Jafari ... Juan M Gorriz Javier Ramírez Abbas Khosravi S. Nahavandi U. Acharya 26 49 0 29 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 0 14 May 2021
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE Shih-Lun Wu Yi-Hsuan Yang ViT 25 53 0 10 May 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 13 9 0 16 Mar 2021
Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 36 10 0 10 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 483 0 08 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 27 99 0 06 Mar 2021
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention Peng Liu Yuewen Cao Songxiang Liu Na Hu Guangzhi Li Chao Weng Dan Su 42 22 0 12 Feb 2021
Disentangled Recurrent Wasserstein Autoencoder Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 27 33 0 19 Jan 2021
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 26 11 0 16 Dec 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 56 339 0 20 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
On the Transfer of Disentangled Representations in Realistic Settings Andrea Dittadi Frederik Trauble Francesco Locatello M. Wuthrich Vaibhav Agrawal Ole Winther Stefan Bauer Bernhard Schölkopf OOD 35 80 0 27 Oct 2020
A semi-supervised autoencoder framework for joint generation and classification of breathing O. Pastor-Serrano D. Lathouwers Zoltán Perkó MedIm AI4TS 14 0 0 19 Oct 2020
Variational Capsule Encoder Harish RaviPrakash Syed Muhammad Anwar Ulas Bagci BDL DRL 18 2 0 18 Oct 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 30 153 0 06 Aug 2020
Perpetual Motion: Generating Unbounded Human Motion Yan Zhang Michael J. Black Siyu Tang 3DH 49 47 0 27 Jul 2020