Nima Dehmamy

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Mumford Shah Functional

Top Venues

Publications

Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu
Symmetry-Informed Governing Equation Discovery. CoRR (2024)
Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow. ICLR (2023)
Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
Latent Space Symmetry Discovery. CoRR (2023)
Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu
Generative Adversarial Symmetry Discovery. CoRR (2023)
Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu
Generative Adversarial Symmetry Discovery. ICML (2023)
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
Symmetry Teleportation for Accelerated Optimization. NeurIPS (2022)
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
Symmetry Teleportation for Accelerated Optimization. CoRR (2022)
Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
Symmetries, flat minima, and the conserved quantities of gradient flow. CoRR (2022)
Nima Dehmamy, Csaba Both, Jianzhi Long, Rose Yu
Faster Optimization on Sparse Graphs via Neural Reparametrization. CoRR (2022)
Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu
Automatic Symmetry Discovery with Lie Algebra Convolutional Network. NeurIPS (2021)
Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu
Automatic Symmetry Discovery with Lie Algebra Convolutional Network. CoRR (2021)
Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási, Mauro Martino
3D Topology Transformation with Generative Adversarial Networks. ICCC (2020)
Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási, Mauro Martino
3D Topology Transformation with Generative Adversarial Networks. CoRR (2020)
Chintan Shah, Nima Dehmamy, Nicola Perra, Matteo Chinazzi, Albert-László Barabási, Alessandro Vespignani, Rose Yu
Finding Patient Zero: Learning Contagion Source with Graph Neural Networks. CoRR (2020)
Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos
Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD. ICASSP (2019)
Nima Dehmamy, Albert-László Barabási, Rose Yu
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology. CoRR (2019)
Nima Dehmamy, Albert-László Barabási, Rose Yu
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology. NeurIPS (2019)
Nima Dehmamy, Soodabeh Milanlouei, Albert-László Barabási
A structural transition in physical networks. Nat. 563 (7733) (2018)
Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos
Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition. CoRR (2017)