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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
Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation Zizhao Hu Mohammad Rostami DRL 41 2 0 22 Mar 2023
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
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs Michael Kirchhof Enkelejda Kasneci Seong Joon Oh UQCV 543 25 0 06 Feb 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 84 8 0 29 Jan 2023
Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection Alessandro Flaborea Guido DÁmely S. DÁrrigo Marco Aurelio Sterpa Alessio Sampieri Fabio Galasso 105 12 0 23 Jan 2023
Simplex Autoencoders Aymene Mohammed Bouayed D. Naccache SyDa 55 0 0 16 Jan 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction Khai Nguyen Dang Nguyen N. Ho 78 9 0 12 Jan 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections Khai Nguyen Zhaolin Ren Nhat Ho 78 8 0 10 Jan 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu X. Chen Chen Ma Xue Liu MQ 63 3 0 24 Dec 2022
Hyperspherical Loss-Aware Ternary Quantization Dan Liu Xue Liu MQ 60 0 0 24 Dec 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey Amirhossein Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz Ilker Hacihaliloglu Dorit Merhof DiffM MedIm 135 396 0 14 Nov 2022
Relating graph auto-encoders to linear models Solveig Klepper U. V. Luxburg 66 1 0 03 Nov 2022
Improving Variational Autoencoders with Density Gap-based Regularization Jianfei Zhang Jun Bai Chenghua Lin Yanmeng Wang Wenge Rong DRL 68 6 0 01 Nov 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh Chawla Neil Shah Tong Zhao 118 43 0 11 Oct 2022
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A Review M. Brendel Chang Su Zilong Bai Hao Zhang O. Elemento Fei Wang 90 43 0 11 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando de la Torre DiffM 112 69 0 11 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 83 13 0 11 Oct 2022
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles Martin Bjerke Lukas Schott Kristopher T. Jensen Claudia Battistin David A. Klindt Benjamin A. Dunn 75 7 0 06 Oct 2022
Hyperbolic VAE via Latent Gaussian Distributions Seunghyuk Cho Juyong Lee Dongwoo Kim DRL 125 8 0 30 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 93 24 0 15 Sep 2022
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders Stefan C. Schonsheck Scott Mahan T. Klock A. Cloninger Rongjie Lai DRL 64 5 0 22 Aug 2022
Self-supervised learning with rotation-invariant kernels Léon Zheng Gilles Puy E. Riccietti Patrick Pérez Rémi Gribonval SSL 58 2 0 28 Jul 2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning Michael Kirchhof Karsten Roth Zeynep Akata Enkelejda Kasneci 97 13 0 08 Jul 2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks Haileleol Tibebu Aadin Malik V. D. Silva GAN 44 7 0 06 Jul 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems Zihan Wang Na Huang Fei Sun Pengjie Ren Zhumin Chen Hengliang Luo Maarten de Rijke Zhaochun Ren AAML 114 16 0 24 Jun 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang Yi-Zhu Dai Ji Xin Ming Li Jimmy J. Lin 72 5 0 23 Jun 2022
Revisiting lp-constrained Softmax Loss: A Comprehensive Study C. Trivedi Konstantinos Makantasis Antonios Liapis Georgios N. Yannakakis 35 1 0 20 Jun 2022
Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction Yangyi Hu Xiyuan Wang Zhouchen Lin Pan Li Muhan Zhang 55 7 0 20 Jun 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 95 27 0 17 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 98 30 0 16 Jun 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions Ryan Lopez P. Atzberger AI4CE 116 8 0 10 Jun 2022
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances Ruben Ohana Kimia Nadjahi A. Rakotomamonjy L. Ralaivola 37 6 0 07 Jun 2022
Hyperspherical Consistency Regularization Cheng Tan Zhangyang Gao Lirong Wu Siyuan Li Stan Z. Li 108 26 0 02 Jun 2022
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization Yuhta Takida Takashi Shibuya Wei-Hsiang Liao Chieh-Hsin Lai Junki Ohmura Toshimitsu Uesaka Naoki Murata Shusuke Takahashi Toshiyuki Kumakura Yuki Mitsufuji BDL 85 67 0 16 May 2022
Randomized geometric tools for anomaly detection in stock markets Cyril Bachelard Apostolos Chalkis Vissarion Fisikopoulos Elias P. Tsigaridas 55 1 0 08 May 2022
Parametric Generative Schemes with Geometric Constraints for Encoding and Synthesizing Airfoils Hairun Xie Jing Wang Miao Zhang 36 10 0 05 May 2022
Wrapped Distributions on homogeneous Riemannian manifolds F. Galaz‐García Marios Papamichalis K. Turnbull Simón Lunagómez E. Airoldi 75 9 0 20 Apr 2022
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System Zhirong Xu Shiyang Wen Junshan Wang Guojun Liu Liang Wang ... Lei Ding Yan Zhang Di Zhang Han Zhu Bo Zheng 64 9 0 28 Mar 2022
Representation Uncertainty in Self-Supervised Learning as Variational Inference Hiroki Nakamura Masashi Okada T. Taniguchi 82 19 0 22 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 95 3 0 19 Mar 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
Probabilistic Embeddings Revisited I. Karpukhin Stanislav Dereka Sergey Kolesnikov UQCV AAML 47 10 0 14 Feb 2022
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 58 2 0 25 Nov 2021
Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion Ankita Shukla Rushil Anirudh E. Kur Jayaraman J. Thiagarajan P. Bremer B. Spears Tammy Ma Pavan Turaga GAN 18 1 0 24 Nov 2021
Multi network InfoMax: A pre-training method involving graph convolutional networks Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis AI4CE 24 1 0 01 Nov 2021
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE Devansh Arpit Aadyot Bhatnagar Huan Wang Caiming Xiong 40 0 0 19 Oct 2021
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk OOD 129 31 0 15 Oct 2021
On the Latent Holes of VAEs for Text Generation Ruizhe Li Xutan Peng Chenghua Lin 102 4 0 07 Oct 2021
Causal Representation Learning for Context-Aware Face Transfer Gege Gao Huaibo Huang Chaoyou Fu Ran He CVBM 48 0 0 04 Oct 2021
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) Jie Bu Arka Daw M. Maruf Anuj Karpatne 107 5 0 01 Oct 2021