| 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 | 172 | 2019 |
| 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 | 117 | 2021 |
| 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 | 98 | 2013 |
| 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 | 80 | 2021 |
| A structural transition in physical networks N Dehmamy, S Milanlouei, AL Barabási Nature 563 (7733), 676-680, 2018 | 78 | 2018 |
| 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 | 54 | 2020 |
| Systemic stress test model for shared portfolio networks I Vodenska, N Dehmamy, AP Becker, SV Buldyrev, S Havlin Scientific reports 11 (1), 3358, 2021 | 40* | 2021 |
| Generative adversarial symmetry discovery J Yang, R Walters, N Dehmamy, R Yu International Conference on Machine Learning, 39488-39508, 2023 | 34 | 2023 |
| Isotopy and energy of physical networks Y Liu, N Dehmamy, AL Barabási Nature Physics 17 (2), 216-222, 2021 | 33 | 2021 |
| Symmetry teleportation for accelerated optimization B Zhao, N Dehmamy, R Walters, R Yu Advances in neural information processing systems 35, 16679-16690, 2022 | 23 | 2022 |
| 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 | 21 | 2022 |
| Latent space symmetry discovery J Yang, N Dehmamy, R Walters, R Yu arXiv preprint arXiv:2310.00105, 2023 | 16 | 2023 |
| Accelerating network layouts using graph neural networks C Both, N Dehmamy, R Yu, AL Barabási Nature communications 14 (1), 1560, 2023 | 12 | 2023 |
| Understanding mode connectivity via parameter space symmetry B Zhao, N Dehmamy, R Walters, R Yu | 7 | 2023 |
| 3D topology transformation with generative adversarial networks L Stornaiuolo, N Dehmamy, AL Barabási, M Martino arXiv preprint arXiv:2007.03532, 2020 | 6* | 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 | 4* | 2019 |
| Symmetry-Informed Governing Equation Discovery J Yang, W Rao, N Dehmamy, R Walters, R Yu arXiv preprint arXiv:2405.16756, 2024 | 1 | 2024 |
| Hessian Reparametrization for Coarse-grained Energy Minimization N Dehmamy, C Both, J Mohapatra, S Das, T Jaakkola ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | 1 | 2024 |
| Systems and Methods for Knowledge Distillation Using Artificial Intelligence W Dashun, N Dehmamy, L Liu, WS Jo US Patent App. 18/265,513, 2024 | 1 | 2024 |
| Modelling Axon Growth Using Driven Diffusion N Dehmamy, Y Liu Bulletin of the American Physical Society, 2019 | 1 | 2019 |
Rose YuAssociate Professor, University of California, San DiegoVerified email at ucsd.edu
