Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKe Sun 0001
Person information
- affiliation: CSIRO, Data61, Sydney, Australia
- affiliation: Australian National University, Canberra, ACT, Australia
- affiliation (former): King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- affiliation (former): École Polytechnique, France
- affiliation (former): University of Geneva, Switzerland
- affiliation (former): The Chinese University of Hong Kong
- affiliation (former): Tsinghua University, Beijing, China
Other persons with the same name
- Ke Sun — disambiguation page
- Ke Sun 0002 — Carnegie Mellon University, Pittsburgh, PA, USA
- Ke Sun 0003
![[0000-0002-5066-9058]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5066-9058")
— Tsinghua University, Beijing, China - Ke Sun 0004 — Guangxi Normal University, Guilin, China
- Ke Sun 0005 — Baidu, Beijing, China
- Ke Sun 0006 — Shenzhen University, College of Computer Science and Software Engineering, China (and 1 more)
- Ke Sun 0007 — Harbin Institute of Technology, China
- Ke Sun 0008 — University of Pennsylvania, GRASP Lab, Philadelphia, PA, USA
- Ke Sun 0009 — University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Hefei, China
- Ke Sun 0010 — Wuhan University, China
- Ke Sun 0011 — Dalian University of Technology, School of Software, China
- Ke Sun 0012 — University of California San Diego, Department of Computer Science and Engineering, San Diego, CA, USA (and 1 more)
- Ke Sun 0013 — University of Alberta, Department of Mathematical and Statistical Sciences, Edmonton, Canada (and 1 more)
- Ke Sun 0014 — University of Sheffield, Department of Automatic Control and Systems Engineering, Sheffield, UK (and 1 more)
- Ke Sun 0015 — Shenyang Normal University, Software College, Shenyang , China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2015
[b1]Ke Sun:
Information geometry and data manifold representations. University of Geneva, Switzerland, 2015
Journal Articles
- 2021
- [j6]Frank Nielsen, Ke Sun:
q-Neurons: Neuron Activations Based on Stochastic Jackson's Derivative Operators. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2782-2789 (2021) - 2020
- [j5]Yujun Chen, Ke Sun, Juhua Pu, Zhang Xiong, Xiangliang Zhang:
GraPASA: Parametric graph embedding via siamese architecture. Inf. Sci. 512: 1442-1457 (2020) - 2017
- [j4]Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet:
On Hölder Projective Divergences. Entropy 19(3): 122 (2017) - 2016
- [j3]Frank Nielsen, Ke Sun:
Guaranteed Bounds on Information-Theoretic Measures of Univariate Mixtures Using Piecewise Log-Sum-Exp Inequalities. Entropy 18(12): 442 (2016) - [j2]Frank Nielsen, Ke Sun:
Guaranteed Bounds on the Kullback-Leibler Divergence of Univariate Mixtures. IEEE Signal Process. Lett. 23(11): 1543-1546 (2016) - 2008
- [j1]Ke Sun, Fengshan Bai:
Mining Weighted Association Rules without Preassigned Weights. IEEE Trans. Knowl. Data Eng. 20(4): 489-495 (2008)
Conference and Workshop Papers
- 2023
- [c26]He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla:
Transformed Distribution Matching for Missing Value Imputation. ICML 2023: 42159-42186 - [c25]Frank Nielsen, Ke Sun:
Non-linear Embeddings in Hilbert Simplex Geometry. TAG-ML 2023: 254-266 - 2022
- [c24]Marcel Keller, Ke Sun:
Secure Quantized Training for Deep Learning. ICML 2022: 10912-10938 - [c23]Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie:
Fair Wrapping for Black-box Predictions. NeurIPS 2022 - 2021
- [c22]Hao Zhu, Ke Sun, Peter Koniusz:
Contrastive Laplacian Eigenmaps. NeurIPS 2021: 5682-5695 - [c21]Alexander Soen, Ke Sun:
On the Variance of the Fisher Information for Deep Learning. NeurIPS 2021: 5708-5719 - 2019
- [c20]Daniel Filonik, Tian Feng, Ke Sun, Richard Nock, Alex Collins, Tomasz Bednarz:
Non-Euclidean Embeddings for Graph Analytics and Visualisation. SIGGRAPH Asia Posters 2019: 47:1-47:2 - [c19]Ke Sun, Piotr Koniusz, Zhen Wang:
Fisher-Bures Adversary Graph Convolutional Networks. UAI 2019: 465-475 - 2018
- [c18]Uchenna Akujuobi, Ke Sun, Xiangliang Zhang:
Mining top-k Popular Datasets via a Deep Generative Model. IEEE BigData 2018: 584-593 - [c17]Frank Nielsen, Ke Sun:
Guaranteed Deterministic Bounds on the total variation Distance between univariate mixtures. MLSP 2018: 1-6 - [c16]Marta Avalos, Richard Nock, Cheng Soon Ong, Julien Rouar, Ke Sun:
Representation Learning of Compositional Data. NeurIPS 2018: 6680-6690 - 2017
- [c15]Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet:
k-Means Clustering with Hölder Divergences. GSI 2017: 856-863 - [c14]Frank Nielsen, Ke Sun:
Combinatorial bounds on the α-divergence of univariate mixture models. ICASSP 2017: 4476-4480 - [c13]Ke Sun, Frank Nielsen:
Relative Fisher Information and Natural Gradient for Learning Large Modular Models. ICML 2017: 3289-3298 - 2015
- [c12]Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet:
Information Geometry and Minimum Description Length Networks. ICML 2015: 49-58 - [c11]Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet:
Space-Time Local Embeddings. NIPS 2015: 100-108 - 2014
- [c10]Ke Sun, Hisham Mohamed, Stéphane Marchand-Maillet:
Sparsity on Statistical Simplexes and Diversity in Social Ranking. ACML 2014 - [c9]Farzad Farhadzadeh, Ke Sun, Sohrab Fredowsi:
Efficient two stage decoding scheme to achieve content identification capacity. ICASSP 2014: 3814-3818 - [c8]Ke Sun, Stéphane Marchand-Maillet:
An Information Geometry of Statistical Manifold Learning. ICML 2014: 1-9 - [c7]Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis:
Two-Stage Metric Learning. ICML 2014: 370-378 - 2013
- [c6]Ke Sun, Donn Morrison, Eric Bruno, Stéphane Marchand-Maillet:
Learning Representative Nodes in Social Networks. PAKDD (2) 2013: 25-36 - 2012
- [c5]Ke Sun, Eric Bruno, Stéphane Marchand-Maillet:
Unsupervised skeleton learning for manifold denoising. ICPR 2012: 2719-2722 - [c4]Ke Sun, Eric Bruno, Stéphane Marchand-Maillet:
Stochastic unfolding. MLSP 2012: 1-6 - 2009
- [c3]Ke Sun, Shikui Tu, David Yang Gao, Lei Xu:
Canonical Dual Approach to Binary Factor Analysis. ICA 2009: 346-353 - 2008
- [c2]Ke Sun, Lei Xu:
Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis. ICANN (1) 2008: 255-264 - 2005
- [c1]Ke Sun, Hong Wang:
A Composite Method to Extract Eye Contour. ACII 2005: 112-118
Informal and Other Publications
- 2024
- [i26]Alexander Soen, Ke Sun:
Tradeoffs of Diagonal Fisher Information Matrix Estimators. CoRR abs/2402.05379 (2024) - 2023
- [i25]He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla:
Transformed Distribution Matching for Missing Value Imputation. CoRR abs/2302.10363 (2023) - [i24]Marcel Keller, Ke Sun:
A Note on "Secure Quantized Training for Deep Learning". IACR Cryptol. ePrint Arch. 2023: 1219 (2023) - 2022
- [i23]Hao Zhu, Ke Sun, Piotr Koniusz:
Contrastive Laplacian Eigenmaps. CoRR abs/2201.05493 (2022) - [i22]Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie:
Fair Wrapping for Black-box Predictions. CoRR abs/2201.12947 (2022) - [i21]Frank Nielsen, Ke Sun:
Non-linear Embeddings in Hilbert Simplex Geometry. CoRR abs/2203.11434 (2022) - [i20]Marcel Keller, Ke Sun:
Secure Quantized Training for Deep Learning. IACR Cryptol. ePrint Arch. 2022: 933 (2022) - 2021
- [i19]Marcel Keller, Ke Sun:
Secure Quantized Training for Deep Learning. CoRR abs/2107.00501 (2021) - [i18]Alexander Soen, Ke Sun:
On the Variance of the Fisher Information for Deep Learning. CoRR abs/2107.04205 (2021) - [i17]Piotr Koniusz, Lei Wang, Ke Sun:
High-order Tensor Pooling with Attention for Action Recognition. CoRR abs/2110.05216 (2021) - 2020
- [i16]Marcel Keller, Ke Sun:
Effectiveness of MPC-friendly Softmax Replacement. CoRR abs/2011.11202 (2020) - 2019
- [i15]Ke Sun, Piotr Koniusz, Zhen Wang:
Fisher-Bures Adversary Graph Convolutional Networks. CoRR abs/1903.04154 (2019) - [i14]Ke Sun, Frank Nielsen:
Lightlike Neuromanifolds, Occam's Razor and Deep Learning. CoRR abs/1905.11027 (2019) - [i13]Marcel Keller, Ke Sun:
A Note on Our Submission to Track 4 of iDASH 2019. CoRR abs/1910.11680 (2019) - [i12]Ke Sun, Frank Nielsen:
Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions. CoRR abs/1911.12463 (2019) - [i11]Marcel Keller, Ke Sun:
A Note on Our Submission to Track 4 of iDASH 2019. IACR Cryptol. ePrint Arch. 2019: 1246 (2019) - 2018
- [i10]Frank Nielsen, Ke Sun:
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators. CoRR abs/1806.00149 (2018) - [i9]Frank Nielsen, Ke Sun:
Guaranteed Deterministic Bounds on the Total Variation Distance between Univariate Mixtures. CoRR abs/1806.11311 (2018) - [i8]Ke Sun:
Intrinsic Universal Measurements of Non-linear Embeddings. CoRR abs/1811.01464 (2018) - [i7]Frank Nielsen, Ke Sun:
On The Chain Rule Optimal Transport Distance. CoRR abs/1812.08113 (2018) - 2017
- [i6]Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet:
On Hölder projective divergences. CoRR abs/1701.03916 (2017) - [i5]Ke Sun, Xiangliang Zhang:
Coarse Grained Exponential Variational Autoencoders. CoRR abs/1702.07904 (2017) - [i4]Frank Nielsen, Ke Sun:
Clustering in Hilbert simplex geometry. CoRR abs/1704.00454 (2017) - 2016
- [i3]Frank Nielsen, Ke Sun:
Guaranteed bounds on the Kullback-Leibler divergence of univariate mixtures using piecewise log-sum-exp inequalities. CoRR abs/1606.05850 (2016) - [i2]Ke Sun, Frank Nielsen:
Relative Natural Gradient for Learning Large Complex Models. CoRR abs/1606.06069 (2016) - 2014
- [i1]Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis:
Two-Stage Metric Learning. CoRR abs/1405.2798 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-20 23:43 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
