Latent Variable Modelling with Hyperbolic Normalizing Flows

15 February 2020

Papers citing "Latent Variable Modelling with Hyperbolic Normalizing Flows"

12 / 12 papers shown

Title
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes Jaehyeong Jo Sung Ju Hwang DiffM 34 9 0 11 Oct 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 27 67 0 07 Feb 2023
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 11 14 0 18 Nov 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 20 0 04 Oct 2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications Menglin Yang Min Zhou Zhihao Li Jiahong Liu Lujia Pan Hui Xiong Irwin King 21 52 0 28 Feb 2022
Moser Flow: Divergence-based Generative Modeling on Manifolds N. Rozen Aditya Grover Maximilian Nickel Y. Lipman DRL AI4CE 19 57 0 18 Aug 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 18 22 0 18 Jun 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 24 10 0 14 Mar 2021
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 75 3 0 22 Oct 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 27 119 0 18 Jun 2020
Neural Manifold Ordinary Differential Equations Aaron Lou Derek Lim Isay Katsman Leo Huang Qingxuan Jiang Ser-Nam Lim Christopher De Sa BDL AI4CE 20 79 0 18 Jun 2020
Neural Ordinary Differential Equations on Manifolds Luca Falorsi Patrick Forré BDL AI4CE 6 33 0 11 Jun 2020