Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

30 April 2021

Papers citing "Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder"

10 / 10 papers shown

Title
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 54 0 0 09 Mar 2025
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations Tonmoy Hossain Miaomiao Zhang 19 2 0 20 Dec 2023
Learning to Solve Inverse Problems for Perceptual Sound Matching Han Han Vincent Lostanlen Mathieu Lagrange 21 3 0 23 Nov 2023
Unified High-binding Watermark for Unconditional Image Generation Models Ruinan Ma Yu-an Tan Shangbo Wu Tian Chen Yajie Wang Yuan-zhang Li AAML DiffM WIGM 34 1 0 14 Oct 2023
Improving Joint Speech-Text Representations Without Alignment Cal Peyser Zhong Meng Ke Hu Rohit Prabhavalkar Andrew Rosenberg Tara N. Sainath M. Picheny Kyunghyun Cho VLM 31 4 0 11 Aug 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 32 1 0 19 May 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 24 1 0 24 Mar 2023
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 26 21 0 15 Sep 2022
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