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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
Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning Jiajin Liu Dongzhe Fan Jiacheng Shen Chuanhao Ji Daochen Zha Qiaoyu Tan 115 0 0 12 Jun 2025
Bidirectional Variational Autoencoders Bart Kosko Olaoluwa Adigun BDL 87 0 0 21 May 2025
Learning over von Mises-Fisher Distributions via a Wasserstein-like Geometry Kisung You Dennis L. Shung Mauro Giuffré 46 0 0 19 Apr 2025
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction Zongyue Qin Shichang Zhang Mingxuan Ju Tong Zhao Neil Shah Yizhou Sun 52 0 0 08 Apr 2025
Provably Efficient Exploration in Reward Machines with Low Regret Hippolyte Bourel Anders Jonsson Odalric-Ambrym Maillard Chenxiao Ma M. S. Talebi 63 0 0 26 Dec 2024
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images Jiyoung Park Günay Doğan UQCV 55 0 0 17 Oct 2024
Bayesian Sheaf Neural Networks Patrick Gillespie Vasileios Maroulas Ioannis Schizas 52 2 0 12 Oct 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning Junnan Liu Qianren Mao Weifeng Jiang Jianxin Li 60 1 0 19 Sep 2024
Decoder ensembling for learned latent geometries Stas Syrota Pablo Moreno-Muñoz Søren Hauberg DRL AI4CE 58 2 0 14 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 62 4 0 09 Aug 2024
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space Zhangyu Wang Lantian Xu Zhifeng Kong Weilong Wang Xuyu Peng Enyang Zheng 66 0 0 23 Jul 2024
HOTS3D: Hyper-Spherical Optimal Transport for Semantic Alignment of Text-to-3D Generation Zezeng Li Weimin Wang WenHai Li Na Lei Xianfeng Gu OT DiffM 70 0 0 19 Jul 2024
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry Martin Lindström Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 116 0 0 10 Jul 2024
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes Aghiles Kebaili J. Lapuyade-Lahorgue Pierre Vera S. Ruan MedIm 66 1 0 17 Jun 2024
Stein's Method of Moments on the Sphere Adrian Fischer Robert E. Gaunt Yvik Swan 36 2 0 15 Jun 2024
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning Mingqing Xiao Yixin Zhu D.K. He Zhouchen Lin LRM 103 4 0 27 May 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 68 4 0 16 May 2024
A solution for the mean parametrization of the von Mises-Fisher distribution Marcel Nonnenmacher M. Sahani 41 0 0 10 Apr 2024
$Γ$ -VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data Jason Z. Kim Nicolas Perrin-Gilbert Erkan Narmanli Paul Klein Christopher R. Myers Itai Cohen J. Waterfall James P. Sethna DRL 38 0 0 02 Mar 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling Jianan Fan Dongnan Liu Hang Chang Heng-Chiao Huang Mei Chen Weidong Cai 102 6 0 02 Mar 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 74 3 0 27 Feb 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Neil Shah Nitesh Chawla AI4CE 65 4 0 15 Feb 2024
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation Nianzu Yang Kaipeng Zeng Haotian Lu Yexin Wu Zexin Yuan Danni Chen Shengdian Jiang Jiaxiang Wu Yimin Wang Junchi Yan 18 1 0 17 Jan 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini DRL 65 10 0 28 Dec 2023
Learning Distributions on Manifolds with Free-form Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Ullrich Kothe DRL AI4CE 84 2 0 15 Dec 2023
Topological Obstructions and How to Avoid Them Babak Esmaeili Robin Walters Heiko Zimmermann Jan-Willem van de Meent AI4CE 59 3 0 12 Dec 2023
$t^3$ -Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence Juno Kim Jaehyuk Kwon Mincheol Cho Hyunjong Lee Joong-Ho Won 65 3 0 02 Dec 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach Sangwoong Yoon Young-Uk Jin Yung-Kyun Noh Frank C. Park 86 15 0 28 Oct 2023
A Comprehensive Review of Generative AI in Healthcare Yasin Shokrollahi Sahar Yarmohammadtoosky Matthew M. Nikahd Pengfei Dong Xianqi Li Linxia Gu MedIm AI4CE 91 20 0 01 Oct 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 176 15 0 25 Sep 2023
Hamiltonian GAN Christine Allen-Blanchette GAN AI4CE 66 1 0 22 Aug 2023
Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts Aymene Mohammed Bouayed Adrian Iaccovelli D. Naccache 53 0 0 21 Aug 2023
Automatic Generation of Semantic Parts for Face Image Synthesis Tomaso Fontanini Claudio Ferrari Massimo Bertozzi Andrea Prati CVBM 89 3 0 11 Jul 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates Michael Kirchhof Bálint Mucsányi Seong Joon Oh Enkelejda Kasneci UQCV 491 15 0 07 Jul 2023
S2vNTM: Semi-supervised vMF Neural Topic Modeling Weijie Xu Jay Desai Srinivasan H. Sengamedu Xiaoyu Jiang Francis Iannacci VLM 57 1 0 06 Jul 2023
KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation Weijie Xu Xiaoyu Jiang Jay Desai Bin Han Fuqin Yan Francis Iannacci BDL 78 3 0 04 Jul 2023
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport Weijie Xu Xiaoyu Jiang Srinivasan H. Sengamedu Francis Iannacci Jinjin Zhao OT BDL 103 20 0 03 Jul 2023
Variational Disentangled Graph Auto-Encoders for Link Prediction Jun Fu Xiaojuan Zhang Shuang Li Dali Chen CML DRL 62 3 0 20 Jun 2023
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent Representation Misha Glazunov Apostolis Zarras AAML DRL 50 1 0 16 Jun 2023
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts Karsten Roth Jae Myung Kim A. Sophia Koepke Oriol Vinyals Cordelia Schmid Zeynep Akata VLM 92 76 0 12 Jun 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 64 4 0 05 Jun 2023
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices Jing Zhu Yuhang Zhou V. Ioannidis Sheng Qian Wei Ai Xiang Song Danai Koutra 98 11 0 01 Jun 2023
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae Shenyuan Liang Pavan Turaga Anuj Srivastava 84 0 0 17 May 2023
A Simplified Framework for Contrastive Learning for Node Representations Ilgee Hong Huy Tran Claire Donnat SSL 87 2 0 01 May 2023
Energy-Based Sliced Wasserstein Distance Khai Nguyen Nhat Ho 83 23 0 26 Apr 2023
Hyperbolic Geometry in Computer Vision: A Survey Pengfei Fang Mehrtash Harandi Trung Le Dinh Q. Phung 69 4 0 21 Apr 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation Y. Zhu Jianwen Xie Ping Li MedIm 51 4 0 16 Apr 2023
Manifold Learning by Mixture Models of VAEs for Inverse Problems Giovanni S. Alberti J. Hertrich Matteo Santacesaria Silvia Sciutto DRL 109 7 0 27 Mar 2023
CoCon: A Data Set on Combined Contextualized Research Artifact Use T. Saier Youxiang Dong Michael Färber 45 1 0 27 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 49 1 0 24 Mar 2023