v1v2v3 (latest)

Hyperspherical Variational Auto-Encoders

3 April 2018

ArXiv (abs)PDF HTML Github (230★)

Papers citing "Hyperspherical Variational Auto-Encoders"

50 / 231 papers shown

Title
On Geometric Structures for Policy Parameterization in Continuous Control Zhihao Lin 192 0 0 11 Nov 2025
Geodesic Calculus on Latent Spaces Florine Hartwig Josua Sassen Juliane Braunsmann M. Rumpf B. Wirth 57 0 0 10 Oct 2025
Fisher-Bingham-like normalizing flows on the sphere Thorsten Glüsenkamp 68 0 0 06 Oct 2025
Hyperspherical Latents Improve Continuous-Token Autoregressive Generation Guolin Ke Hui Xue 100 3 0 29 Sep 2025
Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing Juan Manuel Perez Kevin Garcia Brooklyn Berry Dongjin Song Yifeng Gao AI4TS 52 0 0 23 Sep 2025
Kuramoto Orientation Diffusion Models Yue Song Thomas Anderson Keller Sevan Brodjian Takeru Miyato Yisong Yue Pietro Perona Max Welling DiffM 144 0 0 18 Sep 2025
Conditional- $t^3$ VAE: Equitable Latent Space Allocation for Fair Generation Aymene Mohammed Bouayed Samuel Deslauriers-Gauthier Adrian Iaccovelli D. Naccache DRL CML 149 0 0 02 Sep 2025
Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations Galo Castillo-López Gaël de Chalendar N. Semmar 81 0 0 29 Jul 2025
Bridging Compositional and Distributional Semantics: A Survey on Latent Semantic Geometry via AutoEncoder Yingji Zhang Danilo S. Carvalho André Freitas CoGe 332 0 0 25 Jun 2025
Precise Bayesian Neural Networks Carlos Stein Brito 79 0 0 24 Jun 2025
Riemannian generative decoder Andreas Bjerregaard Søren Hauberg Anders Krogh DRL DiffM 207 2 0 23 Jun 2025
Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning Jiajin Liu Dongzhe Fan Jiacheng Shen Chuanhao Ji Daochen Zha Qiaoyu Tan 207 1 0 12 Jun 2025
Bidirectional Variational AutoencodersIEEE International Joint Conference on Neural Network (IJCNN), 2024 Bart Kosko Olaoluwa Adigun BDL 205 0 0 21 May 2025
Plasma State Monitoring and Disruption Characterization using Multimodal VAEs Y. Poels Alessandro Pau Christian Donner Giulio Romanelli Olivier Sauter Cristina Venturini Vlado Menkovski TCV Team WPTE team 197 0 0 24 Apr 2025
Learning over von Mises-Fisher Distributions via a Wasserstein-like Geometry Kisung You Dennis L. Shung Mauro Giuffré 122 1 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 Tony Nowatzki 150 0 0 08 Apr 2025
Norm Augmented Graph AutoEncoders for Link PredictionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Yunhui Liu Huaisong Zhang Xinyi Gao Liuye Guo Zhen Tao Tieke He 112 0 0 09 Feb 2025
Provably Efficient Exploration in Reward Machines with Low Regret Hippolyte Bourel Anders Jonsson Odalric-Ambrym Maillard Chenxiao Ma M. S. Talebi 131 0 0 26 Dec 2024
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images Jiyoung Park Günay Doğan UQCV 118 1 0 17 Oct 2024
Bayesian Sheaf Neural Networks Patrick Gillespie Vasileios Maroulas Ioannis Schizas D. Boothe Vasileios Maroulas 148 3 0 12 Oct 2024
KnowFormer: Revisiting Transformers for Knowledge Graph ReasoningInternational Conference on Machine Learning (ICML), 2024 Junnan Liu Qianren Mao Weifeng Jiang Jianxin Li 153 4 0 19 Sep 2024
Decoder ensembling for learned latent geometries Stas Syrota Pablo Moreno-Muñoz Søren Hauberg DRL AI4CE 150 7 0 14 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 156 5 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 205 2 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 Na Lei Xianfeng Gu OT DiffM 276 0 0 19 Jul 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures Sophia Sanborn Sophia Sanborn Johan Mathe Louisa Cornelis Abby Bertics ... Hansen Lillemark Christian Shewmake Fatih Dinc Xavier Pennec Nina Miolane 284 13 0 12 Jul 2024
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry Martin Lindström Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund 267 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 127 5 0 17 Jun 2024
Stein's Method of Moments on the Sphere Adrian Fischer Robert E. Gaunt Yvik Swan 129 3 0 15 Jun 2024
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning Mingqing Xiao Yixin Zhu D.K. He Zhouchen Lin LRM 216 6 0 27 May 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature AttributionInternational Conference on Machine Learning (ICML), 2024 Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 236 8 0 16 May 2024
A solution for the mean parametrization of the von Mises-Fisher distribution Marcel Nonnenmacher M. Sahani 99 1 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 98 2 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 253 10 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 144 8 0 27 Feb 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Mingxuan Ju Neil Shah Nitesh Chawla AI4CE 240 4 0 15 Feb 2024
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology GenerationInternational Conference on Machine Learning (ICML), 2024 Nianzu Yang Kaipeng Zeng Haotian Lu Yexin Wu Zexin Yuan Danni Chen Shengdian Jiang Jiaxiang Wu Yimin Wang Junchi Yan 120 3 0 17 Jan 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini DRL 161 16 0 28 Dec 2023
Learning Distributions on Manifolds with Free-form FlowsNeural Information Processing Systems (NeurIPS), 2023 Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Ullrich Kothe DRL AI4CE 184 3 0 15 Dec 2023
Topological Obstructions and How to Avoid ThemNeural Information Processing Systems (NeurIPS), 2023 Babak Esmaeili Robin Walters Heiko Zimmermann Jan-Willem van de Meent AI4CE 165 3 0 12 Dec 2023
$t^3$ -Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power DivergenceInternational Conference on Learning Representations (ICLR), 2023 Juno Kim Jaehyuk Kwon Mincheol Cho Hyunjong Lee Joong-Ho Won 198 7 0 02 Dec 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery ApproachNeural Information Processing Systems (NeurIPS), 2023 Sangwoong Yoon Young-Uk Jin Yung-Kyun Noh Frank C. Park 223 17 0 28 Oct 2023
Recent Advances in Generative AI for Healthcare Applications Yasin Shokrollahi Sahar Yarmohammadtoosky Wenxi Liu Pengfei Dong Matthew M. Nikahd Linxia Gu Xianqi Li L. Gu MedIm AI4CE 270 22 0 01 Oct 2023
TouchUp-G: Improving Feature Representation through Graph-Centric FinetuningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 445 20 0 25 Sep 2023
Hamiltonian GANConference on Learning for Dynamics & Control (L4DC), 2023 Christine Allen-Blanchette GAN AI4CE 172 2 0 22 Aug 2023
Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts Aymene Mohammed Bouayed Adrian Iaccovelli D. Naccache 140 0 0 21 Aug 2023
Automatic Generation of Semantic Parts for Face Image SynthesisInternational Conference on Image Analysis and Processing (ICIAP), 2023 Tomaso Fontanini Claudio Ferrari Massimo Bertozzi Andrea Prati CVBM 159 5 0 11 Jul 2023
Data-driven Nonlinear Parametric Model Order Reduction Framework using Deep Hierarchical Variational AutoencoderEngineering computations (Eng. Comput.), 2023 Sihun Lee Sangmin Lee Ki-Hyun Jang Haeseong Cho Sang-Joon Shin 146 9 0 10 Jul 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty EstimatesNeural Information Processing Systems (NeurIPS), 2023 Michael Kirchhof Bálint Mucsányi Seong Joon Oh Enkelejda Kasneci UQCV 1.2K 15 0 07 Jul 2023
S2vNTM: Semi-supervised vMF Neural Topic Modeling Weijie Xu Jay Desai Srinivasan H. Sengamedu Xiaoyu Jiang Francis Iannacci VLM 157 1 0 06 Jul 2023

All Papers

Hyperspherical Variational Auto-Encoders

Papers citing "Hyperspherical Variational Auto-Encoders"