A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based
Learning

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A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning

8 February 2019

Yoshihiro Nagano

Shoichiro Yamaguchi

Yasuhiro Fujita

Masanori Koyama

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Papers citing "A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning"

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Title
GGBall: Graph Generative Model on Poincaré Ball Tianci Bu Chuanrui Wang Hao Ma Haoren Zheng Xin Lu Tailin Wu 10 0 0 08 Jun 2025
Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders Vivien van Veldhuizen Sharvaree P. Vadgama Onno J. de Boer Sybren Meijer Erik Bekkers DRL 68 0 0 17 Mar 2023
Wrapped Distributions on homogeneous Riemannian manifolds F. Galaz‐García Marios Papamichalis K. Turnbull Simón Lunagómez E. Airoldi 75 9 0 20 Apr 2022
Curvature Graph Generative Adversarial Networks Jianxin Li Xingcheng Fu Qingyun Sun Cheng Ji Jiajun Tan Hongzhi Zhang Hao Peng GAN 62 13 0 03 Mar 2022
Understanding in Artificial Intelligence S. Maetschke D. M. Iraola Pieter Barnard Elaheh Shafieibavani Peter Zhong Ying Xu Antonio Jimeno Yepes ELM VLM 44 0 0 17 Jan 2021
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 136 126 0 18 Jun 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 135 49 0 12 Feb 2020
Mixed-curvature Variational Autoencoders Ondrej Skopek O. Ganea Gary Bécigneul CML DRL BDL 76 102 0 19 Nov 2019
Increasing Expressivity of a Hyperspherical VAE Tim R. Davidson Jakub M. Tomczak E. Gavves 52 5 0 07 Oct 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 80 178 0 17 Jan 2019
Poincaré Wasserstein Autoencoder Ivan Ovinnikov 90 17 0 05 Jan 2019