Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function

21 July 2019

Papers citing "Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function"

20 / 20 papers shown

Title
Deep evolving semi-supervised anomaly detection Jack Belham Aryan Bhosale Samrat Mukherjee Biplab Banerjee Fabio Cuzzolin 65 0 0 01 Dec 2024
Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI Yanke Wang Yolanne Y. R. Lee Aurelio Dolfini Markus Reischl E. Konukoglu Kyriakos Flouris MedIm 72 0 0 30 Nov 2024
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka Johannes Brunnemann Jörg Eiden Arne Speerforck Lars Mikelsons 28 0 0 14 Oct 2024
CF-OPT: Counterfactual Explanations for Structured Prediction Germain Vivier--Ardisson Alexandre Forel Axel Parmentier Thibaut Vidal OffRL CML BDL 35 1 0 28 May 2024
Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems Hanyu Chen Zhixiu Hao Liying Xiao DiffM 32 2 0 17 May 2024
Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs P. Baggenstoss Kevin Wilkinghoff F. Govaers Frank Kurth 15 1 0 20 Jan 2024
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 41 1 0 16 Oct 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders Sharon Chokuwa M. H. Khan 23 5 0 20 Sep 2023
Variational Self-Supervised Contrastive Learning Using Beta Divergence Mehmet Can Yavuz Berrin Yanikoglu SSL 19 0 0 05 Sep 2023
Data-driven Nonlinear Parametric Model Order Reduction Framework using Deep Hierarchical Variational Autoencoder Sihun Lee Sangmin Lee Ki-Hyun Jang Haeseong Cho Sang-Joon Shin 13 6 0 10 Jul 2023
Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks Michel Frising J. Bravo-Abad F. Prins 15 2 0 29 Aug 2022
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model Peizheng Li Xiaoyang Wang Robert Piechocki S. Kapoor A. Doufexi Arjun Parekh DRL 11 3 0 27 Jun 2022
Hybrid Predictive Coding: Inferring, Fast and Slow Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 19 36 0 05 Apr 2022
Unsupervised Clustering of Roman Potsherds via Variational Autoencoders S. Parisotto Ninetta Leone Carola-Bibiane Schönlieb Alessandro Launaro DRL 11 14 0 14 Mar 2022
Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures Xiaofeng Liu Fangxu Xing Thibault Marin G. El Fakhri Jonghye Woo 30 5 0 18 Jan 2022
Disentangling Generative Factors of Physical Fields Using Variational Autoencoders Christian L. Jacobsen Karthik Duraisamy OOD CoGe CML DRL 23 12 0 15 Sep 2021
Maximum Entropy Auto-Encoding P. Baggenstoss 11 0 0 13 Apr 2021
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley DRL 14 34 0 04 Jan 2021
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Aaron Berk 14 0 0 13 Oct 2020
Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders James-Andrew R. Sarmiento DRL 11 5 0 02 Sep 2020