Variational Autoencoder with Learned Latent Structure

18 June 2020

Papers citing "Variational Autoencoder with Learned Latent Structure"

29 / 29 papers shown

Title
Self-Balancing, Memory Efficient, Dynamic Metric Space Data Maintenance, for Rapid Multi-Kernel Estimation Aditya S Ellendula Chandrajit Bajaj 22 0 0 25 Apr 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 52 0 0 27 Mar 2025
Variational autoencoders with latent high-dimensional steady geometric flows for dynamics Andrew Gracyk DRL 69 0 0 03 Jan 2025
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 31 0 0 07 Oct 2024
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 57 0 0 13 Aug 2024
Modularity aided consistent attributed graph clustering via coarsening Samarth Bhatia Yukti Makhija Manoj Kumar Sandeep Kumar 38 0 0 09 Jul 2024
Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes Alexander Stevens Chun Ouyang Johannes De Smedt Catarina Moreira CML 40 1 0 14 Mar 2024
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 29 3 0 22 Sep 2023
On the Adversarial Robustness of Generative Autoencoders in the Latent Space Mingfei Lu Badong Chen AAML DRL 18 3 0 05 Jul 2023
Latent SDEs on Homogeneous Spaces Sebastian Zeng Florian Graf Roland Kwitt BDL 35 7 0 28 Jun 2023
Manifold Contrastive Learning with Variational Lie Group Operators Kion Fallah Alec Helbling Kyle A. Johnsen Christopher Rozell SSL DRL 28 1 0 23 Jun 2023
Conditional and Residual Methods in Scalable Coding for Humans and Machines Anderson de Andrade Alon Harell Yalda Foroutan Ivan V. Bajić 23 2 0 04 May 2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning Pourya Shamsolmoali Masoumeh Zareapoor Huiyu Zhou Dacheng Tao Xuelong Li DRL 30 11 0 03 Apr 2023
Learning Internal Representations of 3D Transformations from 2D Projected Inputs Marissa Connor Bruno A. Olshausen Christopher Rozell 25 1 0 31 Mar 2023
Homomorphic Self-Supervised Learning Thomas Anderson Keller Xavier Suau Luca Zappella SSL 19 2 0 15 Nov 2022
Robust Self-Supervised Learning with Lie Groups Mark Ibrahim Diane Bouchacourt Ari S. Morcos SSL OOD 40 6 0 24 Oct 2022
Machine learning in bioprocess development: From promise to practice L. M. Helleckes J. Hemmerich W. Wiechert E. Lieres A. Grünberger 21 47 0 04 Oct 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 32 21 0 15 Sep 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 34 29 0 16 Jun 2022
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics Noga Mudrik Yenho Chen Eva Yezerets Christopher Rozell Adam S. Charles 39 16 0 07 Jun 2022
Toward a Geometrical Understanding of Self-supervised Contrastive Learning Romain Cosentino Anirvan M. Sengupta Salman Avestimehr Mahdi Soltanolkotabi Antonio Ortega Ted Willke Mariano Tepper SSL 45 17 0 13 May 2022
Variational Sparse Coding with Learned Thresholding Kion Fallah Christopher Rozell DRL 23 7 0 07 May 2022
Interval Bound Interpolation for Few-shot Learning with Few Tasks Shounak Datta S. S. Mullick A. Chakrabarty Swagatam Das 33 2 0 07 Apr 2022
Topographic VAEs learn Equivariant Capsules Thomas Anderson Keller Max Welling BDL 44 38 0 03 Sep 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 49 17 0 30 Jun 2021
Learning Identity-Preserving Transformations on Data Manifolds Marissa Connor Kion Fallah Christopher Rozell 32 6 0 22 Jun 2021
Addressing the Topological Defects of Disentanglement via Distributed Operators Diane Bouchacourt Mark Ibrahim Stéphane Deny 11 22 0 10 Feb 2021
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models Lukasz Struski M. Sadowski Tomasz Danel Jacek Tabor Igor T. Podolak DiffM 25 7 0 06 Apr 2019