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Learning Hierarchical Priors in VAEs

13 May 2019

Patrick van der Smagt

Papers citing "Learning Hierarchical Priors in VAEs"

50 / 62 papers shown

Title
Generative Deep Learning Framework for Inverse Design of Fuels Kiran K. Yalamanchi Pinaki Pal Balaji Mohan Abdullah S. AlRamadan Jihad A. Badra Yuanjiang Pei 122 0 0 16 Apr 2025
Hierarchical VAE with a Diffusion-based VampPrior Anna Kuzina Jakub M. Tomczak DiffM TPM BDL 124 3 0 02 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 288 1 0 25 Nov 2024
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach Zhiwei Li Guodong Long Tianyi Zhou Jing Jiang Chengqi Zhang FedML 110 6 0 16 Aug 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 104 1 0 20 Mar 2024
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs Yihong Luo Xiaolong Chen Xinghua Qu Jing Tang 91 11 0 19 Mar 2024
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data Bowen Lei Rajarshi Guhaniyogi Krishnendu Chandra Aaron Scheffler Bani Mallick 48 0 0 05 Feb 2024
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media Jiayu Song Jenny Chim Adam Tsakalidis Julia Ive Dana Atzil-Slonim Maria Liakata 56 3 0 29 Jan 2024
Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis Yin Li Yu Xiong Wenxin Fan Kai Wang Qingqing Yu Liping Si Patrick van der Smagt Jun Tang Nutan Chen 58 1 0 21 Jan 2024
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments Ryo Ueda Tadahiro Taniguchi 59 7 0 08 Nov 2023
Learning variational autoencoders via MCMC speed measures Marcel Hirt Vasileios Kreouzis P. Dellaportas BDL DRL 53 2 0 26 Aug 2023
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction Kelvin J.L. Koa Yunshan Ma Ritchie Ng Tat-Seng Chua DiffM 60 25 0 18 Aug 2023
Tree Variational Autoencoders Laura Manduchi Moritz Vandenhirtz Alain Ryser Julia E. Vogt BDL DRL 86 9 0 15 Jun 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 128 4 0 30 May 2023
Revisiting Structured Variational Autoencoders Yixiu Zhao Scott W. Linderman BDL DRL 53 9 0 25 May 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation Tianyu Yang Thy Thy Tran Iryna Gurevych DiffM 75 1 0 24 May 2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning Pourya Shamsolmoali Masoumeh Zareapoor Huiyu Zhou Dacheng Tao Xuelong Li DRL 82 14 0 03 Apr 2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions Batuhan Koyuncu Pablo Sánchez-Martín I. Peis Pablo Martínez Olmos Isabel Valera BDL GAN DRL 87 6 0 13 Feb 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 114 7 0 21 Jan 2023
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 83 10 0 01 Jan 2023
NVDiff: Graph Generation through the Diffusion of Node Vectors Xiaohui Chen Yukun Li Aonan Zhang Liping Liu DiffM 93 23 0 19 Nov 2022
Improving Variational Autoencoders with Density Gap-based Regularization Jianfei Zhang Jun Bai Chenghua Lin Yanmeng Wang Wenge Rong DRL 71 6 0 01 Nov 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 93 24 0 15 Sep 2022
Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space Alejandro Guerrero-López C. Sevilla-Salcedo Vanessa Gómez-Verdejo Pablo Martínez Olmos DRL 45 1 0 19 Jul 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
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 98 30 0 16 Jun 2022
Local Distance Preserving Auto-encoders using Continuous k-Nearest Neighbours Graphs Nutan Chen Patrick van der Smagt Botond Cseke CLL 46 2 0 13 Jun 2022
Particle algorithms for maximum likelihood training of latent variable models Juan Kuntz Jen Ning Lim A. M. Johansen FedML 121 23 0 27 Apr 2022
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation Aditya Chattopadhyay Xi Zhang David Wipf H. Arora René Vidal DRL 3DV 73 2 0 11 Apr 2022
Efficient-VDVAE: Less is more Louay Hazami Rayhane Mama Ragavan Thurairatnam BDL 104 28 0 25 Mar 2022
Flat Latent Manifolds for Human-machine Co-creation of Music Nutan Chen Djalel Benbouzid Francesco Ferroni Mathis Nitschke Luciano Pinna Patrick van der Smagt 50 0 0 23 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming Eleonora Misino G. Marra Emanuele Sansone 67 26 0 07 Feb 2022
Deep clustering with fusion autoencoder Shuai Chang DRL 21 0 0 11 Jan 2022
Multi-Task Neural Processes Jiayi Shen Xiantong Zhen M. Worring Ling Shao BDL 73 8 0 10 Nov 2021
Disentangling Generative Factors of Physical Fields Using Variational Autoencoders Christian L. Jacobsen Karthik Duraisamy OOD CoGe CML DRL 55 13 0 15 Sep 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 99 11 0 25 Jun 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 46 0 0 24 Jun 2021
Multiresolution Equivariant Graph Variational Autoencoder Truong-Son Hy Risi Kondor 63 20 0 02 Jun 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 129 69 0 30 Apr 2021
A prior-based approximate latent Riemannian metric Georgios Arvanitidis B. Georgiev Bernhard Schölkopf MedIm 60 13 0 09 Mar 2021
Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey Saeid Naderiparizi Frank Wood BDL DRL 61 25 0 24 Feb 2021
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning Guy Tennenholtz Shie Mannor OffRL 57 12 0 22 Feb 2021
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation Felix Frank A. Paraschos Patrick van der Smagt Botond Cseke 36 40 0 29 Jan 2021
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization Xudong Sun Florian Buettner BDL OOD DRL 62 3 0 23 Jan 2021
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models Justin Bayer Maximilian Soelch Atanas Mirchev Baris Kayalibay Patrick van der Smagt 117 15 0 18 Jan 2021
AVAE: Adversarial Variational Auto Encoder Antoine Plumerault Hervé Le Borgne C´eline Hudelot GAN DRL 61 16 0 21 Dec 2020
Image Anomaly Detection by Aggregating Deep Pyramidal Representations P. Mishra C. Piciarelli G. Foresti 46 6 0 12 Nov 2020
ControlVAE: Tuning, Analytical Properties, and Performance Analysis Huajie Shao Zhisheng Xiao Shuochao Yao Aston Zhang Shengzhong Liu Tarek Abdelzaher DRL 99 16 0 31 Oct 2020
Unsupervised Embedding of Hierarchical Structure in Euclidean Space Jinyu Zhao Yi Hao Cyrus Rashtchian DRL 67 2 0 30 Oct 2020
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders Benoit Gaujac Ilya Feige David Barber DiffM BDL 57 0 0 07 Oct 2020