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1711.06929
Cited By
Deep Gaussian Mixture Models
18 November 2017
C. Viroli
Geoffrey J. McLachlan
BDL
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Papers citing
"Deep Gaussian Mixture Models"
31 / 31 papers shown
Classification EM-PCA for clustering and embedding
Zineddine Tighidet
Lazhar Labiod
M. Nadif
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Rethinking Nonlinearity: Trainable Gaussian Mixture Modules for Modern Neural Architectures
Weiguo Lu
Gangnan Yuan
Hong-kun Zhang
Shangyang Li
132
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0
08 Oct 2025
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
Samuel Boïté
Eloi Tanguy
J. Delon
A. Desolneux
Rémi Flamary
OT
341
1
0
02 Sep 2025
PMODE: Theoretically Grounded and Modular Mixture Modeling
Robert A. Vandermeulen
MoE
155
0
0
29 Aug 2025
Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions
ACM Computing Surveys (ACM Comput. Surv.), 2025
Christophe El Zeinaty
W. Hamidouche
Glenn Herrou
D. Ménard
ObjD
135
0
0
11 Aug 2025
IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections
Yash Ranjan
Rahul Sengupta
Anand Rangarajan
Sanjay Ranka
174
0
0
10 Jun 2025
Subject Information Extraction for Novelty Detection with Domain Shifts
Yangyang Qu
Dazhi Fu
Jicong Fan
OOD
364
2
0
30 Apr 2025
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
Neural Information Processing Systems (NeurIPS), 2025
Jayden Teoh
Wenjun Li
Pradeep Varakantham
286
4
0
08 Feb 2025
Application of Generative Adversarial Network (GAN) for Synthetic Training Data Creation to improve performance of ANN Classifier for extracting Built-Up pixels from Landsat Satellite Imagery
Amritendu Mukherjee
Dipanwita Sinha Mukherjee
Parthasarathy Ramachandran
GAN
139
0
0
31 Jan 2025
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval
Aakash Mahalingam
Vinesh Kumar Gande
Vasu Sharma
Vinija Jain
Divya Chaudhary
252
1
0
19 Dec 2024
Scoring rule nets: beyond mean target prediction in multivariate regression
Daan Roordink
Sibylle Hess
165
0
0
22 Sep 2024
Continual Domain Incremental Learning for Privacy-aware Digital Pathology
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Pratibha Kumari
Daniel Reisenbuchler
Lucas Luttner
N. Schaadt
Friedrich Feuerhake
Dorit Merhof
OOD
229
7
0
10 Sep 2024
Gradient-free variational learning with conditional mixture networks
Conor Heins
Hao Wu
Dimitrije Marković
Alexander Tschantz
Jeff Beck
Christopher L. Buckley
BDL
390
4
0
29 Aug 2024
Flexible Conformal Highest Predictive Conditional Density Sets
Max Sampson
Kung-Sik Chan
294
2
0
26 Jun 2024
Large-scale gradient-based training of Mixtures of Factor Analyzers
IEEE International Joint Conference on Neural Network (IJCNN), 2022
A. Gepperth
252
0
0
26 Aug 2023
Mixture of Experts Distributional Regression: Implementation Using Robust Estimation with Adaptive First-order Methods
AStA Advances in Statistical Analysis (AStA), 2022
David Rügamer
Florian Pfisterer
B. Bischl
Bettina Grün
124
4
0
17 Nov 2022
A new perspective on probabilistic image modeling
IEEE International Joint Conference on Neural Network (IJCNN), 2022
A. Gepperth
176
4
0
21 Mar 2022
Encoding large information structures in linear algebra and statistical models
David Banh
A. Huang
115
0
0
15 Jan 2022
Fitting large mixture models using stochastic component selection
Milan Papez
Tomás Pevný
Václav Smídl
143
0
0
10 Oct 2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Chang-rui Liu
Han Yu
Boyang Albert Li
Zhiqi Shen
Zhanning Gao
Peiran Ren
Xuansong Xie
Li-zhen Cui
Chunyan Miao
NoLa
269
0
0
03 Aug 2021
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
H. Fu
F. Liang
Jianping Lin
Bing Li
Mohammad Akbari
Jie Liang
Guohe Zhang
Dong Liu
Chengjie Tu
Jingning Han
303
76
0
14 Jul 2021
Probabilistic partition of unity networks: clustering based deep approximation
N. Trask
Mamikon A. Gulian
Andrew Huang
Kookjin Lee
133
6
0
07 Jul 2021
Image Modeling with Deep Convolutional Gaussian Mixture Models
IEEE International Joint Conference on Neural Network (IJCNN), 2021
A. Gepperth
Benedikt Pfülb
BDL
VLM
150
9
0
19 Apr 2021
Image Anomaly Detection by Aggregating Deep Pyramidal Representations
P. Mishra
C. Piciarelli
G. Foresti
126
8
0
12 Nov 2020
Neural Mixture Distributional Regression
David Rügamer
Florian Pfisterer
J. Herbinger
BDL
186
6
0
14 Oct 2020
Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets
Robin Fuchs
Denys Pommeret
C. Viroli
116
8
0
13 Oct 2020
Tabular GANs for uneven distribution
Insaf Ashrapov
GAN
97
37
0
01 Oct 2020
End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior
Annual Meeting of the Cognitive Science Society (CogSci), 2020
Pulkit Singh
Joshua C. Peterson
Ruairidh M. Battleday
Thomas Griffiths
116
20
0
17 Jul 2020
Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach
G. Sfeir
Maya Abou-Zeid
Filipe Rodrigues
Francisco Câmara Pereira
I. Kaysi
124
17
0
06 Jul 2020
Deep Residual Mixture Models
Perttu Hämäläinen
Martin Trapp
Tuure Saloheimo
Arno Solin
201
8
0
22 Jun 2020
GIM: Gaussian Isolation Machines
Guy Amit
Ishai Rosenberg
Mosh Levy
Ron Bitton
A. Shabtai
Yuval Elovici
117
0
0
06 Feb 2020
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