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Journal Articles
- 2024
[j2]Loraine Franke
, Daniel Karl I. Weidele, Nima Dehmamy, Lipeng Ning, Daniel Haehn:
AutoRL X: Automated Reinforcement Learning on the Web. ACM Trans. Interact. Intell. Syst. 14(4): 26:1-26:30 (2024)- 2018
- [j1]Nima Dehmamy, Soodabeh Milanlouei, Albert-László Barabási:
A structural transition in physical networks. Nat. 563(7733): 676-680 (2018)
Conference and Workshop Papers
- 2024
- [c10]Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu:
Latent Space Symmetry Discovery. ICML 2024 - [c9]Nima Dehmamy, Csaba Both, Jeet Mohapatra, Subhro Das, Tommi Jaakkola:
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations. NeurIPS 2024 - [c8]Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu:
Symmetry-Informed Governing Equation Discovery. NeurIPS 2024 - 2023
- [c7]Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy:
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow. ICLR 2023 - [c6]Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu:
Generative Adversarial Symmetry Discovery. ICML 2023: 39488-39508 - 2022
- [c5]Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu:
Symmetry Teleportation for Accelerated Optimization. NeurIPS 2022 - 2021
- [c4]Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu:
Automatic Symmetry Discovery with Lie Algebra Convolutional Network. NeurIPS 2021: 2503-2515 - 2020
- [c3]Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási, Mauro Martino:
3D Topology Transformation with Generative Adversarial Networks. ICCC 2020: 461-468 - 2019
- [c2]Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos:
Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD. ICASSP 2019: 3232-3236 - [c1]Nima Dehmamy, Albert-László Barabási, Rose Yu:
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology. NeurIPS 2019: 15387-15397
Informal and Other Publications
- 2025
- [i15]Manu Bhat, Jonghyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu:
AtlasD: Automatic Local Symmetry Discovery. CoRR abs/2504.10777 (2025) - [i14]Jianke Yang, Manu Bhat, Bryan Hu, Yadi Cao, Nima Dehmamy, Robin Walters, Rose Yu:
Discovering Symbolic Differential Equations with Symmetry Invariants. CoRR abs/2505.12083 (2025) - [i13]Csaba Both, Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Daniel Karl I. Weidele, Mauro Martino, Nima Dehmamy:
Small Models, Smarter Learning: The Power of Joint Task Training. CoRR abs/2505.18369 (2025) - [i12]Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu:
Understanding Mode Connectivity via Parameter Space Symmetry. CoRR abs/2505.23681 (2025) - 2024
- [i11]Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu:
Symmetry-Informed Governing Equation Discovery. CoRR abs/2405.16756 (2024) - 2023
- [i10]Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu:
Generative Adversarial Symmetry Discovery. CoRR abs/2302.00236 (2023) - [i9]Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu:
Latent Space Symmetry Discovery. CoRR abs/2310.00105 (2023) - 2022
- [i8]Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu:
Symmetry Teleportation for Accelerated Optimization. CoRR abs/2205.10637 (2022) - [i7]Nima Dehmamy, Csaba Both, Jianzhi Long, Rose Yu:
Faster Optimization on Sparse Graphs via Neural Reparametrization. CoRR abs/2205.13624 (2022) - [i6]Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy:
Symmetries, flat minima, and the conserved quantities of gradient flow. CoRR abs/2210.17216 (2022) - 2021
- [i5]Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu:
Automatic Symmetry Discovery with Lie Algebra Convolutional Network. CoRR abs/2109.07103 (2021) - 2020
- [i4]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 abs/2006.11913 (2020) - [i3]Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási, Mauro Martino:
3D Topology Transformation with Generative Adversarial Networks. CoRR abs/2007.03532 (2020) - 2019
- [i2]Nima Dehmamy, Albert-László Barabási, Rose Yu:
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology. CoRR abs/1907.05008 (2019) - 2017
- [i1]Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos:
Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition. CoRR abs/1703.04757 (2017)
Coauthor Index
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