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Hyperspherical Variational Auto-Encoders

3 April 2018

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Papers citing "Hyperspherical Variational Auto-Encoders"

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Title
SphereFace Revived: Unifying Hyperspherical Face Recognition Weiyang Liu Yandong Wen Bhiksha Raj Rita Singh Adrian Weller 3DH CVBM 100 39 0 12 Sep 2021
Transfer Learning from an Artificial Radiograph-landmark Dataset for Registration of the Anatomic Skull Model to Dual Fluoroscopic X-ray Images Chaochao Zhou T. Cha Yun Peng Guoan Li MedIm 41 8 0 14 Aug 2021
On The Distribution of Penultimate Activations of Classification Networks Minkyo Seo Yoonho Lee Suha Kwak UQCV 49 4 0 05 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 93 18 0 30 Jun 2021
Leveraging Hidden Structure in Self-Supervised Learning Emanuele Sansone SSL 32 0 0 30 Jun 2021
On the Generative Utility of Cyclic Conditionals Chang-Shu Liu Haoyue Tang Tao Qin Jintao Wang Tie-Yan Liu 82 3 0 30 Jun 2021
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
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation Hao Huang Boulbaba Ben Amor Xichan Lin Fan Zhu Yi Fang DRL 51 7 0 22 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 101 329 0 13 Jun 2021
Pulling back information geometry Georgios Arvanitidis Miguel González Duque Alison Pouplin Dimitris Kalatzis Søren Hauberg DRL 76 17 0 09 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 105 28 0 06 Jun 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization Travers Rhodes Daniel D. Lee DRL 80 16 0 05 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 89 100 0 03 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 137 133 0 14 May 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 84 39 0 12 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng Xu Chen Jiangchao Yao Hongxia Yang Chunyuan Li Ya Zhang Hao Zhang Ivor Tsang Jingren Zhou Mingyuan Zhou SSL 113 12 0 08 May 2021
ResVGAE: Going Deeper with Residual Modules for Link Prediction Indrit Nallbani Reyhan Kevser Keser Aydin Ayanzadeh Nurullah cCalik B. U. Toreyin 19 0 0 03 May 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 129 69 0 30 Apr 2021
Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection Xuefeng Li Alan Blair 53 0 0 23 Apr 2021
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations Pan Li Alexander Tuzhilin 70 53 0 17 Apr 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 97 42 0 29 Mar 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 72 10 0 14 Mar 2021
Learning with Hyperspherical Uniformity Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 117 36 0 02 Mar 2021
A survey on Variational Autoencoders from a GreenAI perspective Andrea Asperti David Evangelista E. Loli Piccolomini DRL 91 52 0 01 Mar 2021
Addressing the Topological Defects of Disentanglement via Distributed Operators Diane Bouchacourt Mark Ibrahim Stéphane Deny 38 22 0 10 Feb 2021
On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its Mixture Minyoung Kim 38 6 0 10 Feb 2021
Memory-Associated Differential Learning Yi Luo Aiguo Chen Bei Hui Ke Yan 89 3 0 10 Feb 2021
Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems Ryan Lopez P. Atzberger DRL AI4CE 58 13 0 07 Dec 2020
Generative Capacity of Probabilistic Protein Sequence Models Francisco McGee Quentin Novinger R. Levy Vincenzo Carnevale A. Haldane 81 34 0 03 Dec 2020
What is a meaningful representation of protein sequences? N. Detlefsen Søren Hauberg Wouter Boomsma 115 115 0 28 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations Hao Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 169 24 0 21 Nov 2020
Cost-effective Variational Active Entity Resolution Alex Bogatu N. Paton Mark Douthwaite Stuart Davie André Freitas 61 9 0 20 Nov 2020
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference Ali Lotfi-Rezaabad Rahi Kalantari S. Vishwanath Mingyuan Zhou Jonathan I. Tamir 14 2 0 31 Oct 2020
Geometry-Aware Hamiltonian Variational Auto-Encoder Clément Chadebec Clément Mantoux S. Allassonnière DRL 84 16 0 22 Oct 2020
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 144 3 0 22 Oct 2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds Noémie Jaquier Leonel Rozo 103 24 0 21 Oct 2020
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein Khai Nguyen S. Nguyen Nhat Ho Tung Pham Hung Bui 117 21 0 05 Oct 2020
Generative Model without Prior Distribution Matching Cong Geng Jia Wang Lixing Chen Zhiyong Gao GAN 385 1 0 23 Sep 2020
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning Stefan C. Schonsheck 37 0 0 03 Sep 2020
Stochastic Graph Recurrent Neural Network Tijin Yan Hongwei Zhang Zirui Li Yuanqing Xia GNN BDL 30 5 0 01 Sep 2020
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology Maxime W. Lafarge J. Pluim M. Veta DRL 46 8 0 26 Aug 2020
A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning Xingyu Chen Xuguang Lan F. Sun Nanning Zheng OODD 84 77 0 09 Aug 2020
Geometrically Enriched Latent Spaces Georgios Arvanitidis Søren Hauberg Bernhard Schölkopf DRL 77 55 0 02 Aug 2020
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control Yaofeng Desmond Zhong Naomi Ehrich Leonard DRL AI4CE 95 43 0 03 Jul 2020
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments Ransalu Senanayake Maneekwan Toyungyernsub Mingyu Wang Mykel J. Kochenderfer Mac Schwager 77 6 0 01 Jul 2020
Manifolds for Unsupervised Visual Anomaly Detection Louise Naud Alexander Lavin DRL 79 6 0 19 Jun 2020
Riemannian Continuous Normalizing Flows Emile Mathieu Maximilian Nickel AI4CE 136 126 0 18 Jun 2020
Variational Autoencoder with Learned Latent Structure Marissa Connor Gregory H. Canal Christopher Rozell CML DRL 100 47 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 83 81 0 18 Jun 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin DRL 84 32 0 12 Jun 2020