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Ke Sun
Ke Sun
Data61 and Australian National University
Bestätigte E-Mail-Adresse bei data61.csiro.au - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Mining weighted association rules without preassigned weights
K Sun, F Bai
IEEE transactions on knowledge and data engineering 20 (4), 489-495, 2008
2102008
Guaranteed bounds on information-theoretic measures of univariate mixtures using piecewise log-sum-exp inequalities
F Nielsen, K Sun
Entropy 18 (12), 442, 2016
852016
Secure quantized training for deep learning
M Keller, K Sun
International Conference on Machine Learning, 10912-10938, 2022
602022
Guaranteed bounds on the Kullback–Leibler divergence of univariate mixtures
F Nielsen, K Sun
IEEE Signal Processing Letters 23 (11), 1543-1546, 2016
532016
Contrastive laplacian eigenmaps
H Zhu, K Sun, P Koniusz
Advances in Neural Information Processing Systems 34, 5682-5695, 2021
492021
An information geometry of statistical manifold learning
K Sun, S Marchand-Maillet
International Conference on Machine Learning, 1-9, 2014
492014
Fisher-Bures Adversary Graph Convolutional Networks
K Sun, P Koniusz, Z Wang
Uncertainty in Artificial Intelligence, 161, 2019
392019
On Hölder projective divergences
F Nielsen, K Sun, S Marchand-Maillet
Entropy 19 (3), 122, 2017
372017
Clustering in Hilbert’s Projective Geometry: The Case Studies of the Probability Simplex and the Elliptope of Correlation Matrices
F Nielsen, K Sun
Geometric Structures of Information, 297-331, 2019
322019
Guaranteed bounds on the Kullback-Leibler divergence of univariate mixtures using piecewise log-sum-exp inequalities
F Nielsen, K Sun
arXiv preprint arXiv:1606.05850, 2016
312016
Relative Fisher information and natural gradient for learning large modular models
K Sun, F Nielsen
International Conference on Machine Learning, 3289-3298, 2017
252017
Representation learning of compositional data
M Avalos, R Nock, CS Ong, J Rouar, K Sun
Advances in Neural Information Processing Systems 31, 2018
202018
Transformed distribution matching for missing value imputation
H Zhao, K Sun, A Dezfouli, EV Bonilla
International Conference on Machine Learning, 42159-42186, 2023
192023
Clustering in Hilbert simplex geometry
F Nielsen, K Sun
arXiv preprint arXiv:1704.00454, 2017
172017
Space-time local embeddings
K Sun, J Wang, A Kalousis, S Marchand-Maillet
Advances in Neural Information Processing Systems 28, 2015
172015
On the Variance of the Fisher Information for Deep Learning
A Soen, K Sun
Advances in Neural Information Processing Systems 34, 5708-5719, 2021
162021
Guaranteed deterministic bounds on the total variation distance between univariate mixtures
F Nielsen, K Sun
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
162018
High-order Tensor Pooling with Attention for Action Recognition
P Koniusz, L Wang, K Sun
arXiv preprint arXiv:2110.05216, 2021
14*2021
Lightlike Neuromanifolds, Occam's Razor and Deep Learning
K Sun, F Nielsen
arXiv preprint arXiv:1905.11027, 2019
142019
Learning representative nodes in social networks
K Sun, D Morrison, E Bruno, S Marchand-Maillet
Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013
142013
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