Mixed-curvature Variational Autoencoders

Mixed-curvature Variational Autoencoders

19 November 2019

Gary Bécigneul

Papers citing "Mixed-curvature Variational Autoencoders"

17 / 17 papers shown

Title
Geometric sparsification in recurrent neural networks Wyatt Mackey Ioannis Schizas Jared Deighton David L. Boothe, Jr. Vasileios Maroulas 28 0 0 10 Jun 2024
Mixed-Curvature Decision Trees and Random Forests Philippe Chlenski Quentin Chu I. Pe’er 36 1 0 07 Jun 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 24 4 0 16 May 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space Nabarun Goswami Yusuke Mukuta Tatsuya Harada 40 3 0 18 Mar 2024
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects Jiapu Wang Boyue Wang M. Qiu Shirui Pan Bo Xiong ... Linhao Luo Tengfei Liu Yongli Hu Baocai Yin Wen Gao 36 19 0 04 Aug 2023
Exploring Data Geometry for Continual Learning Zhi Gao C. Xu Feng Li Yunde Jia Mehrtash Harandi Yuwei Wu CLL 21 9 0 08 Apr 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien C. Pehlevan MLT AI4CE 20 6 0 26 Jan 2023
Bayesian Learning for Neural Networks: an algorithmic survey M. Magris Alexandros Iosifidis BDL DRL 29 68 0 21 Nov 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 18 14 0 16 May 2022
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces Chao Pan Eli Chien Puoya Tabaghi Jianhao Peng O. Milenkovic 8 3 0 07 Mar 2022
Heterogeneous manifolds for curvature-aware graph embedding Francesco Di Giovanni Giulia Luise M. Bronstein 54 23 0 02 Feb 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 28 33 0 10 Dec 2021
Neural Distance Embeddings for Biological Sequences Gabriele Corso Rex Ying Michal Pándy Petar Velivcković J. Leskovec Pietro Lió 17 40 0 20 Sep 2021
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 25 118 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 10 78 0 18 Jun 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 58 48 0 12 Feb 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,234 0 24 Nov 2016