Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders

19 November 2019

Papers citing "Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders"

6 / 6 papers shown

Title
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 29 4 0 16 May 2024
Testing geometric representation hypotheses from simulated place cell recordings Thibault Niederhauser A. Lester Nina Miolane K. D. Duc Manu S. Madhav 11 1 0 16 Nov 2022
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 36 61 0 30 Apr 2021
Recent Advances in Deep Learning Techniques for Face Recognition Md. Tahmid Hasan Fuad Awal Ahmed Fime Delowar Sikder Md. Akil Raihan Iftee Jakaria Rabbi Mabrook S. Al-Rakhami Abdu H. Gumaei Ovishake Sen Mohtasim Fuad Md. Nazrul Islam 34 63 0 18 Mar 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen Rudrasis Chakraborty Liu Yang Vikas Singh DRL MedIm 29 9 0 18 Dec 2020
Barycentric Subspace Analysis on Manifolds Xavier Pennec 68 82 0 11 Jul 2016