Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders

17 January 2019

Papers citing "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders"

39 / 39 papers shown

Title
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices Thibault de Surrel Fabien Lotte Sylvain Chevallier Florian Yger 60 0 0 03 Feb 2025
A group-theoretic framework for machine learning in hyperbolic spaces Vladimir Jaćimović 44 0 0 12 Jan 2025
On Probabilistic Pullback Metrics for Latent Hyperbolic Manifolds Luis Augenstein Noémie Jaquier Tamim Asfour Leonel Rozo 26 0 0 28 Oct 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 29 4 0 16 May 2024
Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing Kartik Narayan Vishal M. Patel CVBM 41 1 0 22 Apr 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space Nabarun Goswami Yusuke Mukuta Tatsuya Harada 40 4 0 18 Mar 2024
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space Kaushik Roy Peyman Moghadam Mehrtash Harandi 24 6 0 31 Jul 2023
Hyperbolic Geometry in Computer Vision: A Survey Pengfei Fang Mehrtash Harandi Trung Le Dinh Q. Phung 22 4 0 21 Apr 2023
Fully Hyperbolic Convolutional Neural Networks for Computer Vision Ahmad Bdeir Kristian Schwethelm Niels Landwehr 41 10 0 28 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 26 1 0 24 Mar 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 19 31 0 30 Nov 2022
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 16 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 VAE via Latent Gaussian Distributions Seunghyuk Cho Juyong Lee Dongwoo Kim DRL 52 5 0 30 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 32 21 0 15 Sep 2022
Prototype Based Classification from Hierarchy to Fairness Mycal Tucker J. Shah FaML 14 6 0 27 May 2022
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation Naicheng Guo Xiaolei Liu Shaoshuai Li Qiongxu Ma Kaixin Gao Bing Han Lin Zheng Xiaobo Guo 29 14 0 16 May 2022
Visualizing Riemannian data with Rie-SNE A. Bergsson Søren Hauberg 30 4 0 17 Mar 2022
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces Chao Pan Eli Chien Puoya Tabaghi Jianhao Peng O. Milenkovic 18 3 0 07 Mar 2022
Riemannian statistics meets random matrix theory: towards learning from high-dimensional covariance matrices Salem Said Simon Heuveline Cyrus Mostajeran 9 8 0 01 Mar 2022
A Self-supervised Mixed-curvature Graph Neural Network Li Sun Zhongbao Zhang Junda Ye Hao Peng Jiawei Zhang Sen Su Philip S. Yu SSL 33 33 0 10 Dec 2021
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design Xiran Fan Chun-Hao Yang B. Vemuri 37 18 0 03 Dec 2021
Neural Distance Embeddings for Biological Sequences Gabriele Corso Rex Ying Michal Pándy Petar Velivcković J. Leskovec Pietro Lió 25 40 0 20 Sep 2021
Highly Scalable and Provably Accurate Classification in Poincare Balls Eli Chien Chao Pan Puoya Tabaghi O. Milenkovic 30 12 0 08 Sep 2021
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Yunhui Guo Xudong Wang Yubei Chen Stella X. Yu 26 45 0 23 Jul 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 24 10 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 36 61 0 30 Apr 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 27 10 0 14 Mar 2021
Objective-Based Hierarchical Clustering of Deep Embedding Vectors Stanislav A. Naumov G. Yaroslavtsev Dmitrii Avdiukhin 20 23 0 15 Dec 2020
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 36 27 0 03 Dec 2020
Geometrically Enriched Latent Spaces Georgios Arvanitidis Søren Hauberg Bernhard Schölkopf DRL 19 51 0 02 Aug 2020
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition Wei Peng Jingang Shi Zhaoqiang Xia Guoying Zhao GNN 26 60 0 30 Jul 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 27 119 0 18 Jun 2020
Variational Autoencoder with Learned Latent Structure Marissa Connor Gregory H. Canal Christopher Rozell CML DRL 16 42 0 18 Jun 2020
The Power Spherical distribution Nicola De Cao Wilker Aziz 22 28 0 08 Jun 2020
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors B. Haney Alexander Lavin 11 4 0 23 May 2020
Amortised Learning by Wake-Sleep W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 23 7 0 22 Feb 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 24 132 0 12 Nov 2019