Summary of Disentanglement with Factor Quantized Variational Autoencoders, by Gulcin Baykal et al.
Disentanglement with Factor Quantized Variational Autoencodersby Gulcin Baykal, Melih Kandemir, Gozde UnalFirst submitted to arxiv…
Summary of A Generative Framework For Predictive Modeling Of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-optimized Graph Neural Network, by Julian Carvajal Rico et al.
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and…
Summary of The Gaussian Discriminant Variational Autoencoder (gdvae): a Self-explainable Model with Counterfactual Explanations, by Anselm Haselhoff et al.
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanationsby Anselm Haselhoff, Kevin…
Summary of Trialsynth: Generation Of Synthetic Sequential Clinical Trial Data, by Chufan Gao et al.
TrialSynth: Generation of Synthetic Sequential Clinical Trial Databy Chufan Gao, Mandis Beigi, Afrah Shafquat, Jacob…
Summary of Data-efficient and Interpretable Inverse Materials Design Using a Disentangled Variational Autoencoder, by Cheng Zeng et al.
Data-efficient and Interpretable Inverse Materials Design using a Disentangled Variational Autoencoderby Cheng Zeng, Zulqarnain Khan,…
Summary of Improving Conditional Level Generation Using Automated Validation in Match-3 Games, by Monica Villanueva Aylagas et al.
Improving Conditional Level Generation using Automated Validation in Match-3 Gamesby Monica Villanueva Aylagas, Joakim Bergdahl,…
Summary of Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks, by Farah Alsafadi et al.
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and…
Summary of Learning Privacy-preserving Student Networks Via Discriminative-generative Distillation, by Shiming Ge et al.
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillationby Shiming Ge, Bochao Liu, Pengju Wang, Yong Li,…
Summary of Generative Principal Component Regression Via Variational Inference, by Austin Talbot et al.
Generative Principal Component Regression via Variational Inferenceby Austin Talbot, Corey J Keller, David E Carlson,…
Summary of Compressing Vae-based Out-of-distribution Detectors For Embedded Deployment, by Aditya Bansal et al.
Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deploymentby Aditya Bansal, Michael Yuhas, Arvind EaswaranFirst submitted to…