Kevin Scaman
Kevin Scaman
Research scientist, INRIA
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Optimal algorithms for smooth and strongly convex distributed optimization in networks
K Scaman, F Bach, S Bubeck, YT Lee, L Massoulié
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1772017
Lipschitz regularity of deep neural networks: analysis and efficient estimation
K Scaman, A Virmaux
arXiv preprint arXiv:1805.10965, 2018
1122018
Optimal algorithms for non-smooth distributed optimization in networks
K Scaman, F Bach, S Bubeck, YT Lee, L Massoulié
arXiv preprint arXiv:1806.00291, 2018
1012018
Tight bounds for influence in diffusion networks and application to bond percolation and epidemiology
R Lemonnier, K Scaman, N Vayatis
arXiv preprint arXiv:1407.4744, 2014
242014
Optimal convergence rates for convex distributed optimization in networks
K Scaman, F Bach, S Bubeck, Y Lee, L Massoulié
Journal of Machine Learning Research 20, 1-31, 2019
232019
Suppressing epidemics in networks using priority planning
K Scaman, A Kalogeratos, N Vayatis
IEEE Transactions on Network Science and Engineering 3 (4), 271-285, 2016
212016
Multivariate hawkes processes for large-scale inference
R Lemonnier, K Scaman, A Kalogeratos
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
172017
Anytime influence bounds and the explosive behavior of continuous-time diffusion networks
K Scaman, R Lemonnier, N Vayatis
Advances in Neural Information Processing Systems 28, 2026-2034, 2015
122015
Coloring graph neural networks for node disambiguation
G Dasoulas, LD Santos, K Scaman, A Virmaux
arXiv preprint arXiv:1912.06058, 2019
82019
A greedy approach for dynamic control of diffusion processes in networks
K Scaman, A Kalogeratos, N Vayatis
2015 IEEE 27th International Conference on Tools with Artificial …, 2015
82015
Spectral bounds in random graphs applied to spreading phenomena and percolation
R Lemonnier, K Scaman, N Vayatis
Advances in Applied Probability 50 (2), 480-503, 2018
52018
Information diffusion and rumor spreading
A Kalogeratos, K Scaman, L Corinzia, N Vayatis
Cooperative and Graph Signal Processing, 651-678, 2018
42018
A spectral method for activity shaping in continuous-time information cascades
K Scaman, A Kalogeratos, L Corinzia, N Vayatis
arXiv preprint arXiv:1709.05231, 2017
42017
Theoretical limits of pipeline parallel optimization and application to distributed deep learning
I Colin, LD Santos, K Scaman
arXiv preprint arXiv:1910.05104, 2019
32019
What makes a good plan? An efficient planning approach to control diffusion processes in networks
K Scaman, A Kalogeratos, N Vayatis
arXiv preprint arXiv:1407.4760, 2014
32014
Dynamic treatment allocation for epidemic control in arbitrary networks
K Scaman, A Kalogeratos, N Vayatis
Diffusion Networks and Cascade Analytics workshop, 2014
32014
KONG: Kernels for ordered-neighborhood graphs
M Draief, K Kutzkov, K Scaman, M Vojnovic
arXiv preprint arXiv:1805.10014, 2018
22018
Learning to suppress SIS epidemics in networks
A Kalogeratos, K Scaman, N Vayatis
Networks in the Social and Information Sciences workshop, 2015
22015
Ego-based Entropy Measures for Structural Representations
G Dasoulas, G Nikolentzos, K Scaman, A Virmaux, M Vazirgiannis
arXiv preprint arXiv:2003.00553, 2020
12020
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations
K Scaman, C Malherbe
Advances in Neural Information Processing Systems 33, 2020
12020
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