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Ladder Variational Autoencoders

6 February 2016

Papers citing "Ladder Variational Autoencoders"

50 / 335 papers shown

Title
μSplit: efficient image decomposition for microscopy data Ashesh Ashesh Alexander Krull M. D. Sante F. Pasqualini Florian Jug 83 4 0 23 Nov 2022
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images Matthew D. Hoffman T. Le Pavel Sountsov Christopher Suter Ben Lee Vikash K. Mansinghka Rif A. Saurous BDL 78 14 0 27 Oct 2022
BERT-Flow-VAE: A Weakly-supervised Model for Multi-Label Text Classification Ziwen Liu J. Grau-Bové Scott Orr 76 1 0 27 Oct 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xingxu Xie DRL 123 0 0 22 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality Eric Luhman Troy Luhman DRL 75 5 0 18 Oct 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 119 1 0 12 Oct 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 231 89 0 02 Oct 2022
Oracle Analysis of Representations for Deep Open Set Detection Risheek Garrepalli AAML 117 5 0 22 Sep 2022
Amortized Variational Inference: A Systematic Review Ankush Ganguly Sanjana Jain Ukrit Watchareeruetai 90 17 0 22 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 91 13 0 15 Sep 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 120 26 0 06 Sep 2022
Lossy Image Compression with Quantized Hierarchical VAEs Zhihao Duan Ming Lu Zhan Ma Fengqing Zhu 89 45 0 27 Aug 2022
Understanding Diffusion Models: A Unified Perspective Calvin Luo DiffM 106 347 0 25 Aug 2022
Semi-supervised classification using a supervised autoencoder for biomedical applications Cyprien Gille F. Guyard Michel Barlaud 46 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 118 21 0 13 Jul 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 65 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 98 85 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 98 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 69 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 69 25 0 02 May 2022
Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach Dihan Zheng Xiaowen Zhang Kaisheng Ma Chenglong Bao DiffM 75 23 0 21 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 105 13 0 04 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 104 28 0 25 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 86 56 0 15 Mar 2022
The Transitive Information Theory and its Application to Deep Generative Models Trung Ngo Trong Najwa Laabid Ville Hautamaki M. Heinäniemi DRL 95 0 0 09 Mar 2022
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI Sofie Tilborghs J. Bogaert F. Maes 67 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 94 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 134 17 0 22 Feb 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 147 125 0 14 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 90 15 0 09 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 177 48 0 01 Feb 2022
Posterior Matching for Arbitrary Conditioning R. Strauss Junier B. Oliva CML BDL 92 6 0 28 Jan 2022
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction Mihee Lee Samuel S. Sohn Seonghyeon Moon Sejong Yoon Mubbasir Kapadia Vladimir Pavlovic 57 67 0 18 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 126 121 0 02 Jan 2022
Multimodal Conditional Image Synthesis with Product-of-Experts GANs Xun Huang Arun Mallya Ting-Chun Wang Xuan Li DiffM 109 92 0 09 Dec 2021
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 65 1 0 24 Nov 2021
TopicNet: Semantic Graph-Guided Topic Discovery Zhibin Duan Yishi Xu Bo Chen Dongsheng Wang Chaojie Wang Mingyuan Zhou BDL 89 15 0 27 Oct 2021
Relay Variational Inference: A Method for Accelerated Encoderless VI Amir Zadeh Santiago Benoit Louis-Philippe Morency DRL 97 1 0 26 Oct 2021
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation Giorgio Giannone Fattane Pourakpour DRL BDL 57 10 0 23 Oct 2021
Boxhead: A Dataset for Learning Hierarchical Representations Yukun Chen Andrea Dittadi Frederik Trauble Stefan Bauer Bernhard Schölkopf CML 182 2 0 07 Oct 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 70 30 0 10 Sep 2021
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models Daniel Flam-Shepherd Tony C Wu Xuemei Gu Alba Cervera-Lierta Mario Krenn Alán Aspuru-Guzik DRL 64 21 0 06 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 51 0 0 29 Aug 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 196 72 0 26 Aug 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 115 162 0 19 Aug 2021
Regularized Sequential Latent Variable Models with Adversarial Neural Networks Jin Huang Ming Xiao BDL GNN DRL GAN 41 3 0 10 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 106 677 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 28 0 0 08 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 88 1 0 05 Jul 2021
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data Charilaos Mylonas I. Abdallah Eleni Chatzi BDL 59 1 0 30 Jun 2021