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1901.02739
Cited By
Dirichlet Variational Autoencoder
9 January 2019
Weonyoung Joo
Wonsung Lee
Sungrae Park
Il-Chul Moon
BDL
DRL
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Papers citing
"Dirichlet Variational Autoencoder"
37 / 37 papers shown
Learning Reduced Representations for Quantum Classifiers
Quantum Machine Intelligence (QMI), 2025
Patrick Odagiu
Vasilis Belis
Lennart Schulze
Panagiotis Kl Barkoutsos
Michele Grossi
F. Reiter
Günther Dissertori
I. Tavernelli
S. Vallecorsa
DRL
396
0
0
01 Dec 2025
Stick-Breaking Mixture Normalizing Flows with Component-Wise Tail Adaptation for Variational Inference
Seungsu Han
Juyoung Hwang
Won Chang
136
0
0
09 Oct 2025
XTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments
T. Nguyen
Vu Minh Ngo
T. A. Nguyen
Linh Van Ngo
Duc Anh Nguyen
Sang Dinh
Trung Le
129
1
0
03 Oct 2025
Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement
Meghaj Tarte
Agam Shah
Chao Zhang
Sudheer Chava
419
1
0
26 May 2025
Advancing Graph Generation through Beta Diffusion
Yilin He
Xinyang Liu
Bo Chen
Mingyuan Zhou
DiffM
380
9
0
13 Jun 2024
Learning Latent Graph Structures and their Uncertainty
A. Manenti
Daniele Zambon
Cesare Alippi
BDL
445
3
0
30 May 2024
A Survey on Neural Topic Models: Methods, Applications, and Challenges
Artificial Intelligence Review (Artif Intell Rev), 2024
Xiaobao Wu
Thong Nguyen
Anh Tuan Luu
BDL
254
98
0
27 Jan 2024
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3
t^3
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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
317
10
0
02 Dec 2023
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions
British Machine Vision Conference (BMVC), 2023
Benjamin Keel
A. Quyn
David Jayne
Samuel D. Relton
DRL
203
5
0
27 Nov 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
216
9
0
10 Jul 2023
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
Knowledge Discovery and Data Mining (KDD), 2023
Yuchen Zhuang
Yue Yu
Lingkai Kong
Xiang Chen
Chao Zhang
NoLa
SyDa
AI4CE
341
19
0
30 May 2023
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs
Rachael Harkness
Alejandro F Frangi
K. Zucker
Nishant Ravikumar
CML
CoGe
111
7
0
06 Feb 2023
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels
Charles Richter
Patrick R. Barragán
S. Karaman
SSL
393
1
0
14 Dec 2022
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β
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-Multivariational Autoencoder for Entangled Representation Learning in Video Frames
Social Science Research Network (SSRN), 2022
F. Nouri
R. Bergevin
191
0
0
22 Nov 2022
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
Xiaofan Yu
Yunhui Guo
Sicun Gao
Tajana Simunic
CLL
SSL
504
24
0
24 Aug 2022
Benchmarking Constraint Inference in Inverse Reinforcement Learning
International Conference on Learning Representations (ICLR), 2022
Guiliang Liu
Yudong Luo
A. Gaurav
K. Rezaee
Pascal Poupart
498
27
0
20 Jun 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
International Conference on Machine Learning (ICML), 2022
Heesun Bae
Seung-Jae Shin
Byeonghu Na
Joonho Jang
Kyungwoo Song
Il-Chul Moon
NoLa
534
29
0
02 May 2022
Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Kiran Mantripragada
Faisal Z. Qureshi
454
45
0
02 Mar 2022
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning
Reliability Engineering & System Safety (Reliab. Eng. Syst. Saf.), 2022
Yuan Tian
Minghao Han
Chetan S. Kulkarni
Olga Fink
192
15
0
20 Jan 2022
Deep clustering with fusion autoencoder
Shuai Chang
DRL
231
2
0
11 Jan 2022
Towards Controllable Agent in MOBA Games with Generative Modeling
Shubao Zhang
196
0
0
15 Dec 2021
Generating Multivariate Load States Using a Conditional Variational Autoencoder
Electric power systems research (EPSR), 2021
Chenguang Wang
Ensieh Sharifnia
Zhi Gao
Simon Tindemans
Peter Palensky
214
37
0
21 Oct 2021
Pathologies in priors and inference for Bayesian transformers
Tristan Cinquin
Alexander Immer
Max Horn
Vincent Fortuin
UQCV
BDL
MedIm
429
11
0
08 Oct 2021
Online Unsupervised Learning of Visual Representations and Categories
Mengye Ren
Tyler R. Scott
Michael L. Iuzzolino
Michael C. Mozer
R. Zemel
OCL
SSL
517
5
0
13 Sep 2021
Unsupervised Image Generation with Infinite Generative Adversarial Networks
Hui Ying
He Wang
Tianjia Shao
Yin Yang
Kun Zhou
GAN
227
3
0
18 Aug 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
298
1
0
05 Jul 2021
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Alexander Miserlis Hoyle
Pranav Goel
Denis Peskov
Andrew Hian-Cheong
Jordan L. Boyd-Graber
Philip Resnik
508
176
0
05 Jul 2021
A Deep Latent Space Model for Graph Representation Learning
Hanxuan Yang
Qingchao Kong
Wenji Mao
BDL
142
2
0
22 Jun 2021
Better Latent Spaces for Better Autoencoders
SciPost Physics (SciPost Phys.), 2021
B. Dillon
Tilman Plehn
C. Sauer
P. Sorrenson
BDL
DRL
214
61
0
16 Apr 2021
Topic Modelling Meets Deep Neural Networks: A Survey
International Joint Conference on Artificial Intelligence (IJCAI), 2021
He Zhao
Dinh Q. Phung
Viet Huynh
Yuan Jin
Lan Du
Wray Buntine
BDL
247
163
0
28 Feb 2021
Unsupervised Learning of Global Factors in Deep Generative Models
Pattern Recognition (Pattern Recognit.), 2020
I. Peis
Pablo M. Olmos
Antonio Artés-Rodríguez
BDL
DRL
248
13
0
15 Dec 2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
Mehdi Rezaee
Francis Ferraro
BDL
DRL
169
30
0
22 Oct 2020
Dirichlet Graph Variational Autoencoder
Neural Information Processing Systems (NeurIPS), 2020
Jia Li
Tomas Yu
Jiajin Li
Honglei Zhang
Kangfei Zhao
Yu Rong
Hong Cheng
Junzhou Huang
BDL
387
71
0
09 Oct 2020
DrNAS: Dirichlet Neural Architecture Search
Xiangning Chen
Ruochen Wang
Minhao Cheng
Xiaocheng Tang
Cho-Jui Hsieh
OOD
714
123
0
18 Jun 2020
Product Kanerva Machines: Factorized Bayesian Memory
Adam H. Marblestone
Yongpeng Wu
Greg Wayne
170
9
0
06 Feb 2020
Continual Unsupervised Representation Learning
Neural Information Processing Systems (NeurIPS), 2019
Dushyant Rao
Francesco Visin
Andrei A. Rusu
Yee Whye Teh
Razvan Pascanu
R. Hadsell
BDL
CLL
SSL
DRL
189
289
0
31 Oct 2019
Nonparametric Topic Modeling with Neural Inference
Xuefei Ning
Yin Zheng
Zhuxi Jiang
Yu Wang
Huazhong Yang
Junzhou Huang
BDL
186
23
0
18 Jun 2018
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