Статті для всіх - Elchanan MosselДокладніше
Доступно в інших місцях: 65
Spectral redemption in clustering sparse networks
F Krzakala, C Moore, E Mossel, J Neeman, A Sly, L Zdeborová, P Zhang
Proceedings of the National Academy of Sciences 110 (52), 20935-20940, 2013
Мандати: European Commission
A proof of the block model threshold conjecture
E Mossel, J Neeman, A Sly
Combinatorica 38 (3), 665-708, 2018
Мандати: US National Science Foundation, US Department of Defense
Contextual stochastic block models
Y Deshpande, S Sen, A Montanari, E Mossel
Advances in Neural Information Processing Systems 31, 2018
Мандати: US National Science Foundation, US Department of Defense
Opinion exchange dynamics
E Mossel, O Tamuz
Мандати: US National Science Foundation, US Department of Defense
On reverse hypercontractivity
E Mossel, K Oleszkiewicz, A Sen
Geometric and Functional Analysis 23 (3), 1062-1097, 2013
Мандати: UK Engineering and Physical Sciences Research Council
Seeded graph matching via large neighborhood statistics
E Mossel, J Xu
Random Structures & Algorithms 57 (3), 570-611, 2020
Мандати: US National Science Foundation
Rational groupthink
M Harel, E Mossel, P Strack, O Tamuz
The Quarterly Journal of Economics 136 (1), 621-668, 2021
Мандати: US National Science Foundation, US Department of Defense
Local algorithms for block models with side information
E Mossel, J Xu
Proceedings of the 2016 ACM Conference on Innovations in Theoretical …, 2016
Мандати: US National Science Foundation
Global and local information in clustering labeled block models
V Kanade, E Mossel, T Schramm
IEEE Transactions on Information Theory 62 (10), 5906-5917, 2016
Мандати: US National Science Foundation
Shotgun assembly of labeled graphs
E Mossel, N Ross
IEEE Transactions on Network Science and Engineering 6 (2), 145-157, 2017
Мандати: US National Science Foundation, US Department of Defense, Australian …
Density evolution in the degree-correlated stochastic block model
E Mossel, J Xu
Conference on Learning Theory, 1319-1356, 2016
Мандати: US National Science Foundation
Social learning equilibria
E Mossel, M Mueller‐Frank, A Sly, O Tamuz
Econometrica 88 (3), 1235-1267, 2020
Мандати: US National Science Foundation, US Department of Defense, Government of Spain
Bayesian decision making in groups is hard
J Hązła, A Jadbabaie, E Mossel, MA Rahimian
Operations Research 69 (2), 632-654, 2021
Мандати: US National Science Foundation, US Department of Defense
Harmonicity and invariance on slices of the Boolean cube
Y Filmus, E Mossel
Probability Theory and Related Fields 175, 721-782, 2019
Мандати: US National Science Foundation, US Department of Defense
The mean-field approximation: Information inequalities, algorithms, and complexity
V Jain, F Koehler, E Mossel
Conference on learning theory, 1326-1347, 2018
Мандати: US National Science Foundation, US Department of Defense
A spectral approach to analysing belief propagation for 3-colouring
A Coja-Oghlan, E Mossel, D Vilenchik
Combinatorics, Probability and Computing 18 (6), 881-912, 2009
Мандати: German Research Foundation
On the impossibility of learning the missing mass
E Mossel, MI Ohannessian
Entropy 21 (1), 28, 2019
Мандати: US National Science Foundation, US Department of Defense
From trees to seeds: on the inference of the seed from large trees in the uniform attachment model
S Bubeck, R Eldan, E Mossel, MZ Rácz
Мандати: US National Science Foundation, US Department of Defense
Invariance principle on the slice
Y Filmus, G Kindler, E Mossel, K Wimmer
ACM Transactions on Computation Theory (TOCT) 10 (3), 1-37, 2018
Мандати: US National Science Foundation, US Department of Defense
Non interactive simulation of correlated distributions is decidable
A De, E Mossel, J Neeman
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018
Мандати: US National Science Foundation, US Department of Defense
Дані про публікацію й грошову підтримку визначаються автоматично комп'ютерною програмою