Nima Dehmamy

34 papers A* 11C 1Misc 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discovering Symbolic Differential Equations with Symmetry Invariants.
Trans. Mach. Learn. Res.
Jianke Yang, Manu Bhat, Bryan Hu, Yadi Cao, Nima Dehmamy, Robin Walters, Rose Yu
2025 A* conf
AtlasD: Automatic Local Symmetry Discovery.
ICML
Manu Bhat, JongHyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2025 J jnl
AtlasD: Automatic Local Symmetry Discovery.
CoRR
Manu Bhat, JongHyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2025 J jnl
Discovering Symbolic Differential Equations with Symmetry Invariants.
CoRR
Jianke Yang, Manu Bhat, Bryan Hu, Yadi Cao, Nima Dehmamy, Robin Walters, Rose Yu
2025 — conf
Large Language Models Are Natural Video Popularity Predictors.
ACL (Findings)
Pratik Kayal, Pascal Mettes, Nima Dehmamy, Minsu Park
2025 J jnl
NRGPT: An Energy-based Alternative for GPT.
CoRR
Nima Dehmamy, Benjamin Hoover, Bishwajit Saha, Leo Kozachkov, Jean-Jacques E. Slotine, Dmitry Krotov
2025 J jnl
Small Models, Smarter Learning: The Power of Joint Task Training.
CoRR
Csaba Both, Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Daniel Karl I. Weidele, Mauro Martino, Nima Dehmamy
2025 A* conf
Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations.
ICML
Jeet Mohapatra, Nima Dehmamy, Csaba Both, Subhro Das, Tommi Jaakkola
2025 A* conf
Understanding Mode Connectivity via Parameter Space Symmetry.
ICML
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2025 J jnl
Understanding Mode Connectivity via Parameter Space Symmetry.
CoRR
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2024 J jnl
AutoRL X: Automated Reinforcement Learning on the Web.
ACM Trans. Interact. Intell. Syst.
Loraine Franke, Daniel Karl I. Weidele, Nima Dehmamy, Lipeng Ning, Daniel Haehn
2024 — conf
Faster Optimization on Sparse Graphs via Neural Reparametrization.
LoG
Csaba Both, Nima Dehmamy, Jianzhi Long, Rose Yu
2024 A* conf
Latent Space Symmetry Discovery.
ICML
Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2024 A* conf
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations.
NeurIPS
Nima Dehmamy, Csaba Both, Jeet Mohapatra, Subhro Das, Tommi S. Jaakkola
2024 A* conf
Symmetry-Informed Governing Equation Discovery.
NeurIPS
Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu
2024 J jnl
Symmetry-Informed Governing Equation Discovery.
CoRR
Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu
2023 A* conf
Generative Adversarial Symmetry Discovery.
ICML
Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu
2023 J jnl
Generative Adversarial Symmetry Discovery.
CoRR
Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu
2023 J jnl
Latent Space Symmetry Discovery.
CoRR
Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2023 A* conf
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow.
ICLR
Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
2022 J jnl
Faster Optimization on Sparse Graphs via Neural Reparametrization.
CoRR
Nima Dehmamy, Csaba Both, Jianzhi Long, Rose Yu
2022 J jnl
Symmetries, flat minima, and the conserved quantities of gradient flow.
CoRR
Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
2022 A* conf
Symmetry Teleportation for Accelerated Optimization.
NeurIPS
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2022 J jnl
Symmetry Teleportation for Accelerated Optimization.
CoRR
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2021 A* conf
Automatic Symmetry Discovery with Lie Algebra Convolutional Network.
NeurIPS
Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu
2021 J jnl
Automatic Symmetry Discovery with Lie Algebra Convolutional Network.
CoRR
Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu
2020 C conf
3D Topology Transformation with Generative Adversarial Networks.
ICCC
Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási, Mauro Martino
2020 J jnl
3D Topology Transformation with Generative Adversarial Networks.
CoRR
Luca Stornaiuolo, Nima Dehmamy, Albert-László Barabási, Mauro Martino
2020 J jnl
Finding Patient Zero: Learning Contagion Source with Graph Neural Networks.
CoRR
Chintan Shah, Nima Dehmamy, Nicola Perra, Matteo Chinazzi, Albert-László Barabási, Alessandro Vespignani, Rose Yu
2019 Misc conf
Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD.
ICASSP
Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos
2019 A* conf
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology.
NeurIPS
Nima Dehmamy, Albert-László Barabási, Rose Yu
2019 J jnl
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology.
CoRR
Nima Dehmamy, Albert-László Barabási, Rose Yu
2018 J jnl
A structural transition in physical networks.
Nat.
Nima Dehmamy, Soodabeh Milanlouei, Albert-László Barabási
2017 J jnl
Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition.
CoRR
Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos