{"total":17,"rows":[{"id":"2506.13018","title":"Symmetry in Neural Network Parameter Spaces","created":"2025-06-16","cited_by_count":36,"area":null},{"id":"2503.10633","title":"We Should Chart an Atlas of All the World's Models","created":"2025-03-13","cited_by_count":25,"area":null},{"id":"2410.04207","title":"Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models","created":"2024-10-05","cited_by_count":22,"area":null},{"id":"2502.00264","title":"Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion","created":"2025-02-01","cited_by_count":16,"area":null},{"id":"2502.05300","title":"Parameter Symmetry Potentially Unifies Deep Learning Theory","created":"2025-02-07","cited_by_count":12,"area":null},{"id":"2505.11846","title":"Learning on a Razor's Edge: Identifiability and Singularity of Polynomial Neural Networks","created":"2025-05-17","cited_by_count":9,"area":null},{"id":"2408.15495","title":"Remove Symmetries to Control Model Expressivity and Improve Optimization","created":"2024-08-28","cited_by_count":8,"area":null},{"id":"2601.21645","title":"Identifiable Equivariant Networks are Layerwise Equivariant","created":"2026-01-29","cited_by_count":7,"area":null},{"id":"2408.09818","title":"Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology","created":"2024-08-19","cited_by_count":3,"area":null},{"id":"2605.25234","title":"On the Epistemic Uncertainty of Overparametrized Neural Networks","created":"2026-05-24","cited_by_count":2,"area":null},{"id":"2512.01759","title":"Weight Space Representation Learning via Neural Field Adaptation","created":"2025-12-01","cited_by_count":1,"area":null},{"id":"2601.22157","title":"Discovering Hidden Gems in Model Repositories","created":"2026-01-29","cited_by_count":1,"area":null},{"id":"2505.03797","title":"Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks","created":"2025-05-01","cited_by_count":0,"area":null},{"id":"2506.02210","title":"Exchangeability in Neural Network and its Application to Dynamic Pruning","created":"2025-06-02","cited_by_count":0,"area":null},{"id":"2511.12601","title":"Symmetry-Aware Graph Metanetwork Autoencoders: Model Merging through Parameter Canonicalization","created":"2025-11-16","cited_by_count":0,"area":null},{"id":"2602.23405","title":"Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2606.04754","title":"Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability","created":"2026-06-03","cited_by_count":0,"area":null}],"next_cursor":null}