A Geometric Perspective on Variational Autoencoders

15 September 2022

Papers citing "A Geometric Perspective on Variational Autoencoders"

11 / 11 papers shown

Title
Variational autoencoders with latent high-dimensional steady geometric flows for dynamics Andrew Gracyk DRL 69 0 0 03 Jan 2025
Unpicking Data at the Seams: Understanding Disentanglement in VAEs Carl Allen CML CoGe 30 0 0 29 Oct 2024
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations Anselm Haselhoff Kevin Trelenberg Fabian Küppers Jonas Schneider 29 1 0 19 Sep 2024
A mathematical framework of intelligence and consciousness based on Riemannian Geometry Meng Lu AI4CE 26 0 0 02 Jul 2024
Metric Flow Matching for Smooth Interpolations on the Data Manifold Kacper Kapusniak Peter Potaptchik Teodora Reu Leo Zhang Alexander Tong Michael M. Bronstein A. Bose Francesco Di Giovanni 41 12 0 23 May 2024
Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts Aymene Mohammed Bouayed Adrian Iaccovelli D. Naccache 33 0 0 21 Aug 2023
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae Shenyuan Liang P. Turaga Anuj Srivastava 26 0 0 17 May 2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning Pourya Shamsolmoali Masoumeh Zareapoor Huiyu Zhou Dacheng Tao Xuelong Li DRL 20 11 0 03 Apr 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 26 1 0 24 Mar 2023
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012