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On a generalization of the Jensen-Shannon divergence
v1v2v3 (latest)

On a generalization of the Jensen-Shannon divergence

2 December 2019
Frank Nielsen
ArXiv (abs)PDFHTML

Papers citing "On a generalization of the Jensen-Shannon divergence"

34 / 34 papers shown
Title
Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures
Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures
Ananya Omanwar
F. Alajaji
Tamás Linder
46
0
0
30 May 2025
Evaluating LLM Adaptation to Sociodemographic Factors: User Profile vs. Dialogue History
Evaluating LLM Adaptation to Sociodemographic Factors: User Profile vs. Dialogue History
Qishuai Zhong
Zongmin Li
Siqi Fan
Aixin Sun
37
0
0
27 May 2025
QAMA: Quantum annealing multi-head attention operator with classical deep learning framework
QAMA: Quantum annealing multi-head attention operator with classical deep learning framework
Peng Du
Shuolei Wang
Shicheng Li
Jinjing Shi
61
0
0
15 Apr 2025
Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic
  Unbiased Learning
Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning
Chang Xu
Ruixiang Zhang
Wen Yang
Haoran Zhu
Fang Xu
Jian Ding
Gui-Song Xia
ObjD
157
1
0
16 Dec 2024
Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and
  the inductive Gauss-Bregman centers
Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and the inductive Gauss-Bregman centers
Frank Nielsen
58
1
0
18 Oct 2024
Enhancing Fruit and Vegetable Detection in Unconstrained Environment
  with a Novel Dataset
Enhancing Fruit and Vegetable Detection in Unconstrained Environment with a Novel Dataset
Sandeep Khanna
Chiranjoy Chattopadhyay
Suman Kundu
46
3
0
20 Sep 2024
FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under
  Environment Shifts
FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts
Susu Cui
Xueying Han
Dongqi Han
Zhiliang Wang
Weihang Wang
Yun Li
Bo Jiang
Baoxu Liu
Zhigang Lu
39
1
0
26 Aug 2024
Transfer learning of state-based potential games for process
  optimization in decentralized manufacturing systems
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems
Steve Yuwono
Dorothea Schwung
Andreas Schwung
OffRL
44
0
0
12 Aug 2024
pyBregMan: A Python library for Bregman Manifolds
pyBregMan: A Python library for Bregman Manifolds
Frank Nielsen
Alexander Soen
59
2
0
08 Aug 2024
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off
  in Trustworthy Federated Learning
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning
Xiaojin Zhang
Mingcong Xu
Wei Chen
FedML
83
0
0
05 Jul 2024
Criteria for Uncertainty-based Corner Cases Detection in Instance
  Segmentation
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation
Florian Heidecker
A. El-khateeb
Maarten Bieshaar
Bernhard Sick
85
0
0
17 Apr 2024
A Unifying Generator Loss Function for Generative Adversarial Networks
A Unifying Generator Loss Function for Generative Adversarial Networks
Justin Veiner
F. Alajaji
Bahman Gharesifard
GAN
65
5
0
14 Aug 2023
Specious Sites: Tracking the Spread and Sway of Spurious News Stories at
  Scale
Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scale
Hans W. A. Hanley
Deepak Kumar
Zakir Durumeric
84
11
0
03 Aug 2023
Active Probing and Influencing Human Behaviors Via Autonomous Agents
Active Probing and Influencing Human Behaviors Via Autonomous Agents
Shuang Wang
Yiwei Lyu
John M. Dolan
111
4
0
24 Apr 2023
Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
Chang Xu
Jian Ding
Jinwang Wang
Wentao Yang
Huai Yu
Lei Yu
Gui-Song Xia
ObjD
137
64
0
18 Apr 2023
Systematic approaches to generate reversiblizations of Markov chains
Systematic approaches to generate reversiblizations of Markov chains
Michael C. H. Choi
Geoffrey Wolfer
25
4
0
07 Mar 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Jianfeng Wang
Xiaolin Hu
Thomas Lukasiewicz
AAMLBDL
65
0
0
31 Jan 2023
MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain
  Adaptation
MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation
Ye Gao
Zhendong Chu
Hongning Wang
John A. Stankovic
OODGAN
57
1
0
06 Nov 2022
Learning Algorithm Generalization Error Bounds via Auxiliary
  Distributions
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Gholamali Aminian
Saeed Masiha
Laura Toni
M. Rodrigues
55
9
0
02 Oct 2022
Fine-grained Classification of Solder Joints with α-skew
  Jensen-Shannon Divergence
Fine-grained Classification of Solder Joints with α-skew Jensen-Shannon Divergence
Furkan Ulger
S. E. Yuksel
Atila Yilmaz
Dincer Gokcen
UQCV
65
3
0
20 Sep 2022
A lightweight Transformer-based model for fish landmark detection
A lightweight Transformer-based model for fish landmark detection
Alzayat Saleh
David Jones
D. Jerry
M. R. Azghadi
28
1
0
13 Sep 2022
NP-Match: When Neural Processes meet Semi-Supervised Learning
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang
Thomas Lukasiewicz
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
A. Neophytou
BDL
140
41
0
03 Jul 2022
Rashomon Capacity: A Metric for Predictive Multiplicity in
  Classification
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
Hsiang Hsu
Flavio du Pin Calmon
74
40
0
02 Jun 2022
A review of Generative Adversarial Networks for Electronic Health
  Records: applications, evaluation measures and data sources
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Ghadeer O. Ghosheh
Jin Li
T. Zhu
97
42
0
14 Mar 2022
Multimodal Adversarially Learned Inference with Factorized
  Discriminators
Multimodal Adversarially Learned Inference with Factorized Discriminators
Wenxue Chen
Jianke Zhu
78
3
0
20 Dec 2021
Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement
Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement
Yi Li
Yang Sun
K. Horoshenkov
S. M. Naqvi
48
24
0
09 Dec 2021
Gaussian Belief Space Path Planning for Minimum Sensing Navigation
Gaussian Belief Space Path Planning for Minimum Sensing Navigation
A. Pedram
Riku Funada
Takashi Tanaka
55
9
0
28 Sep 2021
Information Interaction Profile of Choice Adoption
Information Interaction Profile of Choice Adoption
Gael Poux-Medard
Julien Velcin
Sabine Loudcher
35
5
0
28 Apr 2021
$α$-Geodesical Skew Divergence
ααα-Geodesical Skew Divergence
Masanari Kimura
H. Hino
70
9
0
31 Mar 2021
Information-Theoretic Bounds on Transfer Generalization Gap Based on
  Jensen-Shannon Divergence
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence
Sharu Theresa Jose
Osvaldo Simeone
106
16
0
13 Oct 2020
Strongly Convex Divergences
Strongly Convex Divergences
J. Melbourne
AI4CE
36
10
0
22 Sep 2020
Least $k$th-Order and Rényi Generative Adversarial Networks
Least kkkth-Order and Rényi Generative Adversarial Networks
Himesh Bhatia
William Paul
F. Alajaji
Bahman Gharesifard
Philippe Burlina
GAN
64
8
0
03 Jun 2020
Cumulant-free closed-form formulas for some common (dis)similarities
  between densities of an exponential family
Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family
Frank Nielsen
Richard Nock
73
3
0
05 Mar 2020
On a generalization of the Jensen-Shannon divergence and the
  JS-symmetrization of distances relying on abstract means
On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means
Frank Nielsen
172
184
0
08 Apr 2019
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