| Mining weighted association rules without preassigned weights K Sun, F Bai IEEE transactions on knowledge and data engineering 20 (4), 489-495, 2008 | 206 | 2008 |
| Guaranteed bounds on information-theoretic measures of univariate mixtures using piecewise log-sum-exp inequalities F Nielsen, K Sun Entropy 18 (12), 442, 2016 | 82 | 2016 |
| Guaranteed bounds on the Kullback–Leibler divergence of univariate mixtures F Nielsen, K Sun IEEE Signal Processing Letters 23 (11), 1543-1546, 2016 | 54 | 2016 |
| An information geometry of statistical manifold learning K Sun, S Marchand-Maillet International Conference on Machine Learning, 1-9, 2014 | 42 | 2014 |
| Secure quantized training for deep learning M Keller, K Sun International Conference on Machine Learning, 10912-10938, 2022 | 40 | 2022 |
| Contrastive laplacian eigenmaps H Zhu, K Sun, P Koniusz Advances in Neural Information Processing Systems 34, 5682-5695, 2021 | 40 | 2021 |
| Fisher-Bures Adversary Graph Convolutional Networks K Sun, P Koniusz, Z Wang Uncertainty in Artificial Intelligence, 161, 2019 | 38 | 2019 |
| On Hölder projective divergences F Nielsen, K Sun, S Marchand-Maillet Entropy 19 (3), 122, 2017 | 32 | 2017 |
| 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 | 29 | 2019 |
| 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 | 29 | 2016 |
| Relative Fisher information and natural gradient for learning large modular models K Sun, F Nielsen International Conference on Machine Learning, 3289-3298, 2017 | 23 | 2017 |
| Representation learning of compositional data M Avalos, R Nock, CS Ong, J Rouar, K Sun Advances in Neural Information Processing Systems 31, 2018 | 16 | 2018 |
| Space-time local embeddings K Sun, J Wang, A Kalousis, S Marchand-Maillet Advances in Neural Information Processing Systems 28, 2015 | 16 | 2015 |
| 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 | 14 | 2018 |
| Clustering in Hilbert simplex geometry F Nielsen, K Sun arXiv preprint arXiv:1704.00454, 2017 | 14 | 2017 |
| On the Variance of the Fisher Information for Deep Learning A Soen, K Sun Advances in Neural Information Processing Systems 34, 5708-5719, 2021 | 13 | 2021 |
| Lightlike Neuromanifolds, Occam's Razor and Deep Learning K Sun, F Nielsen arXiv preprint arXiv:1905.11027, 2019 | 13 | 2019 |
| 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 | 13 | 2013 |
| Two-stage metric learning J Wang, K Sun, F Sha, S Marchand-Maillet, A Kalousis International Conference on Machine Learning, 370-378, 2014 | 12 | 2014 |
| A composite method to extract eye contour K Sun, H Wang International Conference on Affective Computing and Intelligent Interaction …, 2005 | 12 | 2005 |
