受强制性开放获取政策约束的文章 - Reza Gheissari了解详情
可在其他位置公开访问的文章：27 篇
Algorithmic thresholds for tensor PCA
G Ben Arous, R Gheissari, A Jagannath
Annals of Probability 48 (4), 2052-2087, 2020
强制性开放获取政策： US National Science Foundation
Online stochastic gradient descent on non-convex losses from high-dimensional inference
GB Arous, R Gheissari, A Jagannath
Journal of Machine Learning Research 22 (106), 1-51, 2021
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
G Ben Arous, R Gheissari, A Jagannath
Communications on Pure and Applied Mathematics 77 (3), 2030-2080, 2023
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Mixing times of critical two‐dimensional Potts models
R Gheissari, E Lubetzky
Communications on Pure and Applied Mathematics 71 (5), 994-1046, 2018
强制性开放获取政策： US National Science Foundation
Concentration inequalities for polynomials of contracting Ising models
R Gheissari, E Lubetzky, Y Peres
Electronic Communications in Probability 23, 1-12, 2018
强制性开放获取政策： US National Science Foundation
On the spectral gap of spherical spin glass dynamics
R Gheissari, A Jagannath
Annales de l’Institut Henri Poincaré (B) 55 (2), 756-776, 2019
强制性开放获取政策： US National Science Foundation
Bounding flows for spherical spin glass dynamics
G Ben Arous, R Gheissari, A Jagannath
Communications in Mathematical Physics 373, 1011-1048, 2020
强制性开放获取政策： US National Science Foundation
Exponentially slow mixing in the mean-field Swendsen–Wang dynamics
R Gheissari, E Lubetzky, Y Peres
Annales de l’Institut Henri Poincaré (B) 56 (1), 68-86, 2020
强制性开放获取政策： US National Science Foundation
Ising model: local spin correlations and conformal invariance
R Gheissari, C Hongler, SC Park
Communications in Mathematical Physics 367, 771-833, 2019
强制性开放获取政策： US National Science Foundation, European Commission, Federal Ministry of …
Low-temperature Ising dynamics with random initializations
R Gheissari, A Sinclair
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022
强制性开放获取政策： US National Science Foundation
Quasi‐polynomial mixing of critical two‐dimensional random cluster models
R Gheissari, E Lubetzky
Random Structures & Algorithms 56 (2), 517-556, 2020
强制性开放获取政策： US National Science Foundation
The effect of boundary conditions on mixing of 2D Potts models at discontinuous phase transitions
R Gheissari, E Lubetzky
Electronic Journal of Probability 23, 1-30, 2018
强制性开放获取政策： US National Science Foundation
Random-cluster dynamics on random regular graphs in tree uniqueness
A Blanca, R Gheissari
Communications in Mathematical Physics 386 (2), 1243-1287, 2021
强制性开放获取政策： US National Science Foundation
Random-cluster dynamics in Z^2: Rapid mixing with general boundary conditions
A Blanca, R Gheissari, E Vigoda
Annals of Applied Probability 30 (1), 418-459, 2020
强制性开放获取政策： US National Science Foundation
Diffusions interacting through a random matrix: universality via stochastic Taylor expansion
A Dembo, R Gheissari
Probability Theory and Related Fields 180, 1057-1097, 2021
强制性开放获取政策： US National Science Foundation
Zero-temperature dynamics in the dilute Curie–Weiss model
R Gheissari, CM Newman, DL Stein
Journal of Statistical Physics 172, 1009-1028, 2018
强制性开放获取政策： US National Science Foundation
Local and global geometry of the 2D Ising interface in critical prewetting
S Ganguly, R Gheissari
Annals of Probability 49 (4), 2076-2140, 2021
强制性开放获取政策： US National Science Foundation
Maximum and shape of interfaces in 3D Ising crystals
R Gheissari, E Lubetzky
Communications on Pure and Applied Mathematics 75 (12), 2575-2684, 2022
强制性开放获取政策： US National Science Foundation
Entropic repulsion of 3D Ising interfaces conditioned to stay above a floor
R Gheissari, E Lubetzky
Electronic Journal of Probability 28, 1-44, 2023
强制性开放获取政策： US National Science Foundation
Long-time predictability in disordered spin systems following a deep quench
J Ye, R Gheissari, J Machta, CM Newman, DL Stein
Physical Review E 95 (4), 042101, 2017
强制性开放获取政策： US National Science Foundation
出版信息和资助信息由计算机程序自动确定