Nima Dehmamy
Cited by
Cited by
Understanding the representation power of graph neural networks in learning graph topology
N Dehmamy, AL Barabási, R Yu
Advances in Neural Information Processing Systems 32, 2019
On the universality of inner black hole mechanics and higher curvature gravity
A Castro, N Dehmami, G Giribet, D Kastor
Journal of High Energy Physics 2013 (7), 1-26, 2013
A structural transition in physical networks
N Dehmamy, S Milanlouei, AL Barabási
Nature 563 (7733), 676-680, 2018
Systemic stress test model for shared portfolio networks
I Vodenska, N Dehmamy, AP Becker, SV Buldyrev, S Havlin
Scientific reports 11 (1), 3358, 2021
Automatic symmetry discovery with lie algebra convolutional network
N Dehmamy, R Walters, Y Liu, D Wang, R Yu
Advances in Neural Information Processing Systems 34, 2503-2515, 2021
Understanding the onset of hot streaks across artistic, cultural, and scientific careers
L Liu, N Dehmamy, J Chown, CL Giles, D Wang
Nature communications 12 (1), 5392, 2021
Finding patient zero: Learning contagion source with graph neural networks
C Shah, N Dehmamy, N Perra, M Chinazzi, AL Barabási, A Vespignani, ...
arXiv preprint arXiv:2006.11913, 2020
Isotopy and energy of physical networks
Y Liu, N Dehmamy, AL Barabási
Nature Physics 17 (2), 216-222, 2021
3D topology transformation with generative adversarial networks
L Stornaiuolo, N Dehmamy, AL Barabási, M Martino
arXiv preprint arXiv:2007.03532, 2020
Direct estimation of weights and efficient training of deep neural networks without sgd
N Dehmamy, N Rohani, AK Katsaggelos
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Modelling Axon Growth Using Driven Diffusion
N Dehmamy, Y Liu
Bulletin of the American Physical Society, 2019
Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition
N Dehmamy, N Rohani, A Katsaggelos
Computing Research Repository 1703, 2017
First Principles and Effective Theory Approaches to Dynamics of Complex Networks
N Dehmamy
Boston University, 2016
Arbitrary degree distribution and high clustering in networks of locally interacting agents
N Dianati, N Dehmamy
arXiv preprint arXiv:1501.03543, 2015
Accelerating network layouts using graph neural networks
C Both, N Dehmamy, R Yu, AL Barabási
Nature Communications 14 (1), 1560, 2023
Generative Adversarial Symmetry Discovery
J Yang, R Walters, N Dehmamy, R Yu
arXiv preprint arXiv:2302.00236, 2023
Symmetries, flat minima, and the conserved quantities of gradient flow
B Zhao, I Ganev, R Walters, R Yu, N Dehmamy
arXiv preprint arXiv:2210.17216, 2022
Faster Optimization on Sparse Graphs via Neural Reparametrization
N Dehmamy, C Both, J Long, R Yu
arXiv preprint arXiv:2205.13624, 2022
Symmetry Teleportation for Accelerated Optimization
B Zhao, N Dehmamy, R Walters, R Yu
arXiv preprint arXiv:2205.10637, 2022
Charting Flat Minima Using the Conserved Quantities of Gradient Flow
B Zhao, I Ganev, R Walters, R Yu, N Dehmamy
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
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