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Deep Divergence-Based Approach to Clustering

Deep Divergence-Based Approach to Clustering

13 February 2019
Michael C. Kampffmeyer
Sigurd Løkse
F. Bianchi
L. Livi
Arnt-Børre Salberg
Robert Jenssen
ArXivPDFHTML

Papers citing "Deep Divergence-Based Approach to Clustering"

15 / 15 papers shown
Title
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications
Mingfei Lu
Chenxu Li
Shujian Yu
Robert Jenssen
Badong Chen
19
0
0
07 May 2024
Enhanced Cauchy Schwarz inequality and some of its statistical
  applications
Enhanced Cauchy Schwarz inequality and some of its statistical applications
S. Scarlatti
19
0
0
20 Mar 2024
Deep Metric Tensor Regularized Policy Gradient
Deep Metric Tensor Regularized Policy Gradient
Gang Chen
Victoria Huang
13
0
0
18 May 2023
On the Effects of Self-supervision and Contrastive Alignment in Deep
  Multi-view Clustering
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering
Daniel J. Trosten
Sigurd Løkse
Robert Jenssen
Michael C. Kampffmeyer
11
23
0
17 Mar 2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
Shujian Yu
Hongming Li
Sigurd Løkse
Robert Jenssen
José C. Príncipe
BDL
21
6
0
21 Jan 2023
A Clustering-guided Contrastive Fusion for Multi-view Representation
  Learning
A Clustering-guided Contrastive Fusion for Multi-view Representation Learning
Guanzhou Ke
Guoqing Chao
Xiaoli Wang
Chenyang Xu
Yong-Nan Zhu
Yang Yu
SSL
18
18
0
28 Dec 2022
Total Variation Graph Neural Networks
Total Variation Graph Neural Networks
Jonas Hansen
F. Bianchi
19
12
0
11 Nov 2022
Simplifying Clustering with Graph Neural Networks
Simplifying Clustering with Graph Neural Networks
F. Bianchi
16
8
0
18 Jul 2022
Deep Bregman Divergence for Contrastive Learning of Visual
  Representations
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
39
16
0
15 Sep 2021
Uniform Consistency in Nonparametric Mixture Models
Uniform Consistency in Nonparametric Mixture Models
Bryon Aragam
Ruiyi Yang
11
6
0
31 Aug 2021
This looks more like that: Enhancing Self-Explaining Models by
  Prototypical Relevance Propagation
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation
Srishti Gautam
Marina M.-C. Höhne
Stine Hansen
Robert Jenssen
Michael C. Kampffmeyer
19
49
0
27 Aug 2021
Reconsidering Representation Alignment for Multi-view Clustering
Reconsidering Representation Alignment for Multi-view Clustering
Daniel J. Trosten
Sigurd Løkse
Robert Jenssen
Michael C. Kampffmeyer
14
114
0
13 Mar 2021
Joint Optimization of an Autoencoder for Clustering and Embedding
Joint Optimization of an Autoencoder for Clustering and Embedding
Ahcène Boubekki
Michael C. Kampffmeyer
Robert Jenssen
Ulf Brefeld
DRL
13
15
0
07 Dec 2020
A Unifying Review of Deep and Shallow Anomaly Detection
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
G. Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus-Robert Muller
UQCV
11
775
0
24 Sep 2020
Spectral Clustering with Graph Neural Networks for Graph Pooling
Spectral Clustering with Graph Neural Networks for Graph Pooling
F. Bianchi
Daniele Grattarola
C. Alippi
GNN
11
39
0
30 Jun 2019
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