Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders

18 February 2020

Papers citing "Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders"

25 / 25 papers shown

Title
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network Julian Carvajal Rico A. Alaeddini Syed Hasib Akhter Faruqui S. Fisher-Hoch J. McCormick 63 0 0 13 Mar 2025
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System Majid Memari Khaled R. Ahmed Shahram Rahimi Noorbakhsh Amiri Golilarz EGVM 33 1 0 27 Feb 2024
Topic Modeling as Multi-Objective Contrastive Optimization Thong Nguyen Xiaobao Wu Xinshuai Dong Cong-Duy Nguyen See-Kiong Ng A. Luu 35 6 0 12 Feb 2024
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning William Heyden Habib Ullah M. S. Siddiqui Fadi Al-Machot VLM 41 0 0 20 Dec 2023
A Generative Neural Network Approach for 3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle Christoph Petroll Sebastian Eilermann Philipp Hoefer Oliver Niggemann 19 1 0 06 Nov 2023
Novelty Detection in Reinforcement Learning with World Models Geigh Zollicoffer Kenneth Eaton Jonathan C. Balloch Julia Kim Mark O. Riedl Robert Wright Mark O. Riedl 23 1 0 12 Oct 2023
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models Andrea Asperti Gabriele Colasuonno António Guerra DiffM 62 1 0 11 Aug 2023
Multi-modal Latent Diffusion Mustapha Bounoua Giulio Franzese Pietro Michiardi DiffM 16 13 0 07 Jun 2023
Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis Arpan Biswas M. Ziatdinov Sergei V. Kalinin 8 5 0 08 Feb 2023
KL Regularized Normalization Framework for Low Resource Tasks Neeraj Kumar Ankur Narang Brejesh Lall 21 1 0 21 Dec 2022
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder Jianning Li Jana Fragemann Seyed-Ahmad Ahmadi Jens Kleesiek Jan Egger DRL 19 4 0 29 Sep 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 21 11 0 14 Jul 2022
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach Arpan Biswas Rama K Vasudevan M. Ziatdinov Sergei V. Kalinin BDL DRL 19 10 0 30 Jun 2022
Disentangling Autoencoders (DAE) Jaehoon Cha Jeyan Thiyagalingam CoGe 20 1 0 20 Feb 2022
Enhancing variational generation through self-decomposition Andrea Asperti Laura Bugo Daniele Filippini DRL 46 2 0 06 Feb 2022
Automatically detecting anomalous exoplanet transits Christoph J. Hönes Benjamin Kurt Miller Ana M. Heras Bernard H. Foing 11 1 0 16 Nov 2021
A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves A. Benfenati Davide Bolzi P. Causin R. Oberti 20 8 0 05 Nov 2021
Rapid parameter estimation of discrete decaying signals using autoencoder networks J. Visschers D. Budker L. Bougas 16 3 0 10 Mar 2021
A survey on Variational Autoencoders from a GreenAI perspective Andrea Asperti David Evangelista E. Loli Piccolomini DRL 6 51 0 01 Mar 2021
Dynamic $β$ -VAEs for quantifying biodiversity by clustering optically recorded insect signals Klas Rydhmer Raghavendra Selvan DRL 11 7 0 10 Feb 2021
Hierarchical Variational Autoencoder for Visual Counterfactuals Nicolas Vercheval A. Pižurica CML DRL BDL 23 2 0 01 Feb 2021
ControlVAE: Tuning, Analytical Properties, and Performance Analysis Huajie Shao Zhisheng Xiao Shuochao Yao Aston Zhang Shengzhong Liu Tarek F. Abdelzaher DRL 22 14 0 31 Oct 2020
Error Autocorrelation Objective Function for Improved System Modeling Anand Ramakrishnan Warren B.Jackson Kent Evans DRL 11 0 0 08 Aug 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders Saeid Asgari Taghanaki Mohammad Havaei Alex Lamb Aditya Sanghi Aram Danielyan Tonya Custis DRL 25 7 0 12 May 2020
Variance Loss in Variational Autoencoders Andrea Asperti DRL 11 14 0 23 Feb 2020