permutation symmetry

Globscope: Toward a Global View of the Loss Landscape CVPR 2026 Complete-Tree Space Favors Data-Efficient Link Prediction ICML 2025 Deep Linear Probe Generators for Weight Space Learning ICLR 2025 Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings ICLR 2025 PLeaS - Merging Models with Permutations and Least Squares CVPR 2025 When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach ICLR 2025 A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening NeurIPS 2024 Find the Lady: Permutation and Re-synchronization of Deep Neural Networks AAAI 2024 Graph Neural Networks for Learning Equivariant Representations of Neural Networks ICLR 2024 Monomial Matrix Group Equivariant Neural Functional Networks NeurIPS 2024 Towards Understanding Inductive Bias in Transformers: A View From Infinity ICML 2024 Transferring Learning Trajectories of Neural Networks ICLR 2024 Equivariant Architectures for Learning in Deep Weight Spaces ICML 2023 Git Re-Basin: Merging Models modulo Permutation Symmetries ICLR 2023 On permutation symmetries in Bayesian neural network posteriors: a variational perspective NeurIPS 2023 Permutation Equivariant Neural Functionals NeurIPS 2023 Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances ICML 2021 Skip Connections Eliminate Singularities ICLR 2018