Nima Dehmamy

According to our database, Nima Dehmamy authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Latent Space Symmetry Discovery.

Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu

CoRR, 2023

Generative Adversarial Symmetry Discovery.

Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu

Proceedings of the International Conference on Machine Learning, 2023

Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow.

Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Faster Optimization on Sparse Graphs via Neural Reparametrization.

Nima Dehmamy, Csaba Both, Jianzhi Long, Rose Yu

CoRR, 2022

Symmetry Teleportation for Accelerated Optimization.

Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Automatic Symmetry Discovery with Lie Algebra Convolutional Network.

Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Finding Patient Zero: Learning Contagion Source with Graph Neural Networks.

Chintan Shah, Nima Dehmamy, Nicola Perra, Matteo Chinazzi, Albert-László Barabási, Alessandro Vespignani, Rose Yu

CoRR, 2020

3D Topology Transformation with Generative Adversarial Networks.

Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási, Mauro Martino

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

2019

Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology.

Nima Dehmamy, Albert-László Barabási, Rose Yu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD.

Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A structural transition in physical networks.

Nima Dehmamy, Soodabeh Milanlouei, Albert-László Barabási

Nat., 2018

2017

Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition.

Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos

CoRR, 2017