Suivre
Le Song
Le Song
Biomap, Mohamed bin Zayed University of Artificial Intelligence
Adresse e-mail validée de biomap.com - Page d'accueil
Titre
Citée par
Citée par
Année
Sphereface: Deep hypersphere embedding for face recognition
W Liu, Y Wen, Z Yu, M Li, B Raj, L Song
Proceedings of the IEEE conference on computer vision and pattern …, 2017
21592017
Learning combinatorial optimization algorithms over graphs
E Khalil, H Dai, Y Zhang, B Dilkina, L Song
Advances in neural information processing systems 30, 2017
8992017
A Hilbert space embedding for distributions
A Smola, A Gretton, L Song, B Schölkopf
International Conference on Algorithmic Learning Theory, 13-31, 2007
8092007
A kernel statistical test of independence
A Gretton, K Fukumizu, C Teo, L Song, B Schölkopf, A Smola
Advances in neural information processing systems 20, 2007
7082007
Discriminative embeddings of latent variable models for structured data
H Dai, B Dai, L Song
International conference on machine learning, 2702-2711, 2016
5462016
Recurrent marked temporal point processes: Embedding event history to vector
N Du, H Dai, R Trivedi, U Upadhyay, M Gomez-Rodriguez, L Song
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
4962016
GRAM: graph-based attention model for healthcare representation learning
E Choi, MT Bahadori, L Song, WF Stewart, J Sun
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
4402017
Adversarial attack on graph structured data
H Dai, H Li, T Tian, X Huang, L Wang, J Zhu, L Song
International conference on machine learning, 1115-1124, 2018
4242018
Neural network-based graph embedding for cross-platform binary code similarity detection
X Xu, C Liu, Q Feng, H Yin, L Song, D Song
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017
4002017
Feature Selection via Dependence Maximization.
L Song, A Smola, A Gretton, J Bedo, K Borgwardt
Journal of Machine Learning Research 13 (5), 2012
3722012
Supervised feature selection via dependence estimation
L Song, A Smola, A Gretton, KM Borgwardt, J Bedo
Proceedings of the 24th international conference on Machine learning, 823-830, 2007
3572007
Learning social infectivity in sparse low-rank networks using multi-dimensional hawkes processes
K Zhou, H Zha, L Song
Artificial Intelligence and Statistics, 641-649, 2013
3532013
Learning to explain: An information-theoretic perspective on model interpretation
J Chen, L Song, M Wainwright, M Jordan
International Conference on Machine Learning, 883-892, 2018
3282018
Estimating time-varying networks
M Kolar, L Song, A Ahmed, EP Xing
The Annals of Applied Statistics, 94-123, 2010
3212010
Stochastic training of graph convolutional networks with variance reduction
J Chen, J Zhu, L Song
arXiv preprint arXiv:1710.10568, 2017
3202017
Deep fried convnets
Z Yang, M Moczulski, M Denil, N De Freitas, A Smola, L Song, Z Wang
Proceedings of the IEEE international conference on computer vision, 1476-1483, 2015
3112015
Scalable influence estimation in continuous-time diffusion networks
N Du, L Song, M Gomez Rodriguez, H Zha
Advances in neural information processing systems 26, 2013
3042013
The ‘when’and ‘where’of perceiving signals of threat versus non-threat
LM Williams, D Palmer, BJ Liddell, L Song, E Gordon
Neuroimage 31 (1), 458-467, 2006
2952006
Hilbert space embeddings of conditional distributions with applications to dynamical systems
L Song, J Huang, A Smola, K Fukumizu
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
2812009
Variational reasoning for question answering with knowledge graph
Y Zhang, H Dai, Z Kozareva, AJ Smola, L Song
Thirty-second AAAI conference on artificial intelligence, 2018
2662018
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20