Poincaré Wasserstein Autoencoder

v1v2 (latest)

Poincaré Wasserstein Autoencoder

5 January 2019

ArXiv (abs)PDF HTML

Papers citing "Poincaré Wasserstein Autoencoder"

11 / 11 papers shown

Title
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 80 15 0 18 Nov 2022
Wrapped Distributions on homogeneous Riemannian manifolds F. Galaz‐García Marios Papamichalis K. Turnbull Simón Lunagómez E. Airoldi 75 9 0 20 Apr 2022
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 99 11 0 25 Jun 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 126 69 0 30 Apr 2021
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations Joy Hsu Jeffrey Gu Gong-Her Wu Wah Chiu Serena Yeung SSL 57 28 0 03 Dec 2020
APo-VAE: Text Generation in Hyperbolic Space Shuyang Dai Zhe Gan Yu Cheng Chenyang Tao Lawrence Carin Jingjing Liu BDL GAN DRL 47 34 0 30 Apr 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows A. Bose Ariella Smofsky Renjie Liao Prakash Panangaden William L. Hamilton DRL 75 69 0 15 Feb 2020
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 117 138 0 12 Nov 2019
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text Oluwaseyi Feyisetan Tom Diethe Thomas Drake 71 75 0 20 Oct 2019
Normalizing Flows: An Introduction and Review of Current Methods I. Kobyzev S. Prince Marcus A. Brubaker TPM MedIm 100 58 0 25 Aug 2019
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning Yoshihiro Nagano Shoichiro Yamaguchi Yasuhiro Fujita Masanori Koyama BDL DRL 60 15 0 08 Feb 2019