Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1804.00891
Cited By
v1
v2
v3 (latest)
Hyperspherical Variational Auto-Encoders
3 April 2018
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRL
BDL
Re-assign community
ArXiv (abs)
PDF
HTML
Github (230★)
Papers citing
"Hyperspherical Variational Auto-Encoders"
50 / 231 papers shown
Beyond Distributions: Geometric Action Control for Continuous Reinforcement Learning
Zhihao Lin
249
0
0
11 Nov 2025
Geodesic Calculus on Implicitly Defined Latent Manifolds
Florine Hartwig
Josua Sassen
Juliane Braunsmann
M. Rumpf
B. Wirth
109
0
0
10 Oct 2025
Fisher-Bingham-like normalizing flows on the sphere
Thorsten Glüsenkamp
113
0
0
06 Oct 2025
Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
Guolin Ke
Hui Xue
150
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
81
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
171
0
0
18 Sep 2025
Conditional-
t
3
t^3
t
3
VAE: Equitable Latent Space Allocation for Fair Generation
Aymene Mohammed Bouayed
Samuel Deslauriers-Gauthier
Adrian Iaccovelli
D. Naccache
DRL
CML
235
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
98
2
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
424
0
0
25 Jun 2025
Precise Bayesian Neural Networks
Carlos Stein Brito
119
0
0
24 Jun 2025
Riemannian generative decoder
Andreas Bjerregaard
Søren Hauberg
Anders Krogh
DRL
DiffM
307
4
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
260
1
0
12 Jun 2025
Bidirectional Variational Autoencoders
IEEE International Joint Conference on Neural Network (IJCNN), 2024
Bart Kosko
Olaoluwa Adigun
BDL
267
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
253
0
0
24 Apr 2025
Learning over von Mises-Fisher Distributions via a Wasserstein-like Geometry
Kisung You
Dennis L. Shung
Mauro Giuffré
142
2
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
225
0
0
08 Apr 2025
Norm Augmented Graph AutoEncoders for Link Prediction
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Yunhui Liu
Huaisong Zhang
Xinyi Gao
Liuye Guo
Zhen Tao
Tieke He
129
1
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
151
0
0
26 Dec 2024
Probabilistic U-Net with Kendall Shape Spaces for Geometry-Aware Segmentations of Images
Jiyoung Park
Günay Doğan
UQCV
160
1
0
17 Oct 2024
Bayesian Sheaf Neural Networks
Patrick Gillespie
Vasileios Maroulas
Ioannis Schizas
D. Boothe
Vasileios Maroulas
239
3
0
12 Oct 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
International Conference on Machine Learning (ICML), 2024
Junnan Liu
Qianren Mao
Weifeng Jiang
Jianxin Li
214
5
0
19 Sep 2024
Decoder ensembling for learned latent geometries
Stas Syrota
Pablo Moreno-Muñoz
Søren Hauberg
DRL
AI4CE
184
7
0
14 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Jirayu Burapacheep
Yixuan Li
OODD
220
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
263
3
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
339
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
332
16
0
12 Jul 2024
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry
Martin Lindström
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
320
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
193
6
0
17 Jun 2024
Stein's Method of Moments on the Sphere
Adrian Fischer
Robert E. Gaunt
Yvik Swan
194
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
291
6
0
27 May 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
International Conference on Machine Learning (ICML), 2024
Eslam Zaher
Maciej Trzaskowski
Quan Nguyen
Fred Roosta
AAML
266
8
0
16 May 2024
A solution for the mean parametrization of the von Mises-Fisher distribution
Marcel Nonnenmacher
M. Sahani
119
1
0
10 Apr 2024
Γ
Γ
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
146
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
321
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
196
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
339
5
0
15 Feb 2024
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
International 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
137
4
0
17 Jan 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
DRL
235
17
0
28 Dec 2023
Learning Distributions on Manifolds with Free-form Flows
Neural Information Processing Systems (NeurIPS), 2023
Peter Sorrenson
Felix Dräxler
Armand Rousselot
Sander Hummerich
Ullrich Kothe
DRL
AI4CE
251
4
0
15 Dec 2023
Topological Obstructions and How to Avoid Them
Neural Information Processing Systems (NeurIPS), 2023
Babak Esmaeili
Robin Walters
Heiko Zimmermann
Jan-Willem van de Meent
AI4CE
234
3
0
12 Dec 2023
t
3
t^3
t
3
-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
International Conference on Learning Representations (ICLR), 2023
Juno Kim
Jaehyuk Kwon
Mincheol Cho
Hyunjong Lee
Joong-Ho Won
274
7
0
02 Dec 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach
Neural Information Processing Systems (NeurIPS), 2023
Sangwoong Yoon
Young-Uk Jin
Yung-Kyun Noh
Frank C. Park
282
19
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
359
22
0
01 Oct 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
528
20
0
25 Sep 2023
Hamiltonian GAN
Conference on Learning for Dynamics & Control (L4DC), 2023
Christine Allen-Blanchette
GAN
AI4CE
195
3
0
22 Aug 2023
Sampling From Autoencoders' Latent Space via Quantization And Probability Mass Function Concepts
Aymene Mohammed Bouayed
Adrian Iaccovelli
D. Naccache
173
0
0
21 Aug 2023
Automatic Generation of Semantic Parts for Face Image Synthesis
International Conference on Image Analysis and Processing (ICIAP), 2023
Tomaso Fontanini
Claudio Ferrari
Massimo Bertozzi
Andrea Prati
CVBM
178
5
0
11 Jul 2023
Data-driven Nonlinear Parametric Model Order Reduction Framework using Deep Hierarchical Variational Autoencoder
Engineering computations (Eng. Comput.), 2023
Sihun Lee
Sangmin Lee
Ki-Hyun Jang
Haeseong Cho
Sang-Joon Shin
188
9
0
10 Jul 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
Neural Information Processing Systems (NeurIPS), 2023
Michael Kirchhof
Bálint Mucsányi
Seong Joon Oh
Enkelejda Kasneci
UQCV
1.3K
15
0
07 Jul 2023
S2vNTM: Semi-supervised vMF Neural Topic Modeling
Weijie Xu
Jay Desai
Srinivasan H. Sengamedu
Xiaoyu Jiang
Francis Iannacci
VLM
175
2
0
06 Jul 2023
1
2
3
4
5
Next
Page 1 of 5