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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
Parametric Generative Schemes with Geometric Constraints for Encoding and Synthesizing AirfoilsEngineering applications of artificial intelligence (EAAI), 2022 Hairun Xie Jing Wang Miao Zhang 189 13 0 05 May 2022
Wrapped Distributions on homogeneous Riemannian manifolds F. Galaz‐García Marios Papamichalis K. Turnbull Simón Lunagómez E. Airoldi 167 9 0 20 Apr 2022
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval SystemIEEE International Conference on Data Engineering (ICDE), 2022 Zhirong Xu Shiyang Wen Junshan Wang Guojun Liu Liang Wang ... Lei Ding Yan Zhang Di Zhang Han Zhu Bo Zheng 117 11 0 28 Mar 2022
Representation Uncertainty in Self-Supervised Learning as Variational InferenceIEEE International Conference on Computer Vision (ICCV), 2022 Hiroki Nakamura Masashi Okada T. Taniguchi 173 22 0 22 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 179 3 0 19 Mar 2022
Curvature Graph Generative Adversarial NetworksThe Web Conference (WWW), 2022 Jianxin Li Xingcheng Fu Qingyun Sun Cheng Ji Jiajun Tan Hongzhi Zhang Hao Peng GAN 106 17 0 03 Mar 2022
Probabilistic Embeddings RevisitedThe Visual Computer (TVC), 2022 I. Karpukhin Stanislav Dereka Sergey Kolesnikov UQCV AAML 180 11 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 147 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 53 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 190 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 133 1 0 19 Oct 2021
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk OOD 386 31 0 15 Oct 2021
On the Latent Holes of VAEs for Text Generation Ruizhe Li Xutan Peng Chenghua Lin 199 5 0 07 Oct 2021
Causal Representation Learning for Context-Aware Face Transfer Gege Gao Huaibo Huang Chaoyou Fu Ran He CVBM 149 1 0 04 Oct 2021
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM) Jie Bu Arka Daw M. Maruf Anuj Karpatne 170 5 0 01 Oct 2021
SphereFace Revived: Unifying Hyperspherical Face Recognition Weiyang Liu Yandong Wen Bhiksha Raj Rita Singh Adrian Weller 3DH CVBM 250 51 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 111 10 0 14 Aug 2021
On The Distribution of Penultimate Activations of Classification Networks Minkyo Seo Yoonho Lee Suha Kwak UQCV 175 5 0 05 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional AssaysNeural Information Processing Systems (NeurIPS), 2021 Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 281 22 0 30 Jun 2021
Leveraging Hidden Structure in Self-Supervised Learning Emanuele Sansone SSL 102 0 0 30 Jun 2021
On the Generative Utility of Cyclic ConditionalsNeural Information Processing Systems (NeurIPS), 2021 Yu Xie Haoyue Tang Tao Qin Jintao Wang Tie-Yan Liu 201 3 0 30 Jun 2021
On Incorporating Inductive Biases into VAEsInternational Conference on Learning Representations (ICLR), 2021 Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 249 11 0 25 Jun 2021
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation Niraj Pudasaini Boulbaba Ben Amor Xichan Lin Fan Zhu Yi Fang DRL 106 7 0 22 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link PredictionNeural Information Processing Systems (NeurIPS), 2021 Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 360 425 0 13 Jun 2021
Pulling back information geometryInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Georgios Arvanitidis Miguel González Duque Alison Pouplin Dimitris Kalatzis Søren Hauberg DRL 202 22 0 09 Jun 2021
Pseudo-Riemannian Graph Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2021 Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 253 35 0 06 Jun 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ RegularizationNeural Information Processing Systems (NeurIPS), 2021 Travers Rhodes Daniel D. Lee DRL 169 21 0 05 Jun 2021
Learning from Counterfactual Links for Link PredictionInternational Conference on Machine Learning (ICML), 2021 Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 262 115 0 03 Jun 2021
Priors in Bayesian Deep Learning: A ReviewInternational Statistical Review (ISR), 2021 Vincent Fortuin UQCV BDL 414 157 0 14 May 2021
Autoencoding Under Normalization ConstraintsInternational Conference on Machine Learning (ICML), 2021 Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 252 41 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 260 13 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 123 1 0 03 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational AutoencoderIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 341 83 0 30 Apr 2021
Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projectionIEEE International Joint Conference on Neural Network (IJCNN), 2021 Xuefeng Li Alan Blair 149 0 0 23 Apr 2021
Dual Metric Learning for Effective and Efficient Cross-Domain RecommendationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Pan Li Alexander Tuzhilin 172 72 0 17 Apr 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2021 Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 279 50 0 29 Mar 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 120 12 0 14 Mar 2021
Learning with Hyperspherical UniformityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 279 44 0 02 Mar 2021
A survey on Variational Autoencoders from a GreenAI perspectiveSN Computer Science (SN Comput. Sci.), 2021 Andrea Asperti David Evangelista E. Loli Piccolomini DRL 173 66 0 01 Mar 2021
Addressing the Topological Defects of Disentanglement via Distributed Operators Diane Bouchacourt Mark Ibrahim Stéphane Deny 128 22 0 10 Feb 2021
On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its Mixture Minyoung Kim 135 7 0 10 Feb 2021
Memory-Associated Differential Learning Yi Luo Aiguo Chen Bei Hui Ke Yan 186 3 0 10 Feb 2021
Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems Ryan Lopez P. Atzberger DRL AI4CE 197 12 0 07 Dec 2020
Generative Capacity of Probabilistic Protein Sequence ModelsNature Communications (Nat Commun), 2020 Francisco McGee Quentin Novinger R. Levy Vincenzo Carnevale A. Haldane 273 38 0 03 Dec 2020
What is a meaningful representation of protein sequences?Nature Communications (Nat Commun), 2020 N. Detlefsen Søren Hauberg Wouter Boomsma 443 136 0 28 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO ApproximationsAAAI Conference on Artificial Intelligence (AAAI), 2020 Hao Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 364 26 0 21 Nov 2020
Cost-effective Variational Active Entity ResolutionIEEE International Conference on Data Engineering (ICDE), 2020 Alex Bogatu N. Paton Mark Douthwaite Stuart Davie André Freitas 214 11 0 20 Nov 2020
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Ali Lotfi-Rezaabad Rahi Kalantari S. Vishwanath Mingyuan Zhou Jonathan I. Tamir 131 2 0 31 Oct 2020
Geometry-Aware Hamiltonian Variational Auto-Encoder Clément Chadebec Clément Mantoux S. Allassonnière DRL 162 17 0 22 Oct 2020
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 276 3 0 22 Oct 2020