Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition. - Nima Dehmamy; Neda Rohani; Aggelos K. Katsaggelos (CoRR, 2017)

A structural transition in physical networks. - Nima Dehmamy; Soodabeh Milanlouei; Albert-László Barabási (Nat., 2018)

Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD. - Nima Dehmamy; Neda Rohani; Aggelos K. Katsaggelos (ICASSP, 2019)

Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology. - Nima Dehmamy; Albert-László Barabási; Rose Yu (NeurIPS, 2019)

3D Topology Transformation with Generative Adversarial Networks. - Luca Stornaiuolo; Nima Dehmamy; Albert-László Barabási; Mauro Martino (ICCC, 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)

Automatic Symmetry Discovery with Lie Algebra Convolutional Network. - Nima Dehmamy; Robin Walters 001; Yanchen Liu; Dashun Wang; Rose Yu (NeurIPS, 2021)

Symmetry Teleportation for Accelerated Optimization. - Bo Zhao 028; Nima Dehmamy; Robin Walters 001; Rose Yu (NeurIPS, 2022)

Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow. - Bo Zhao 028; Iordan Ganev; Robin Walters 001; Rose Yu; Nima Dehmamy (ICLR, 2023)

Generative Adversarial Symmetry Discovery. - Jianke Yang; Robin Walters 001; Nima Dehmamy; Rose Yu (ICML, 2023)

Latent Space Symmetry Discovery. - Jianke Yang; Nima Dehmamy; Robin Walters 001; Rose Yu (ICML, 2024)

Faster Optimization on Sparse Graphs via Neural Reparametrization. - Csaba Both; Nima Dehmamy; Jianzhi Long; Rose Yu (LoG, 2024)

Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations. - Nima Dehmamy; Csaba Both; Jeet Mohapatra; Subhro Das; Tommi Jaakkola (NeurIPS, 2024)

Symmetry-Informed Governing Equation Discovery. - Jianke Yang; Wang Rao; Nima Dehmamy; Robin Walters 001; Rose Yu (NeurIPS, 2024)

AutoRL X: Automated Reinforcement Learning on the Web. - Loraine Franke; Daniel Karl I. Weidele; Nima Dehmamy; Lipeng Ning; Daniel Haehn (ACM Trans. Interact. Intell. Syst., 2024)

Large Language Models Are Natural Video Popularity Predictors. - Pratik Kayal; Pascal Mettes; Nima Dehmamy; Minsu Park (ACL (Findings), 2025)

AtlasD: Automatic Local Symmetry Discovery. - Manu Bhat; Jonghyun Park; Jianke Yang; Nima Dehmamy; Robin Walters 001; Rose Yu (CoRR, 2025)

Discovering Symbolic Differential Equations with Symmetry Invariants. - Jianke Yang; Manu Bhat; Bryan Hu; Yadi Cao; Nima Dehmamy; Robin Walters 001; Rose Yu (CoRR, 2025)

Small Models, Smarter Learning: The Power of Joint Task Training. - Csaba Both; Benjamin Hoover; Hendrik Strobelt; Dmitry Krotov; Daniel Karl I. Weidele; Mauro Martino; Nima Dehmamy (CoRR, 2025)

Understanding Mode Connectivity via Parameter Space Symmetry. - Bo Zhao 028; Nima Dehmamy; Robin Walters 001; Rose Yu (CoRR, 2025)