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Musialski Jun 18 010 Finsler Geometry, Graph Neural Networks, and You arXiv Paper T. Roddenberry, R. Baraniuk Jun 15 011 On the Entropy Formula for Real, Complex, and Quaternionic Deep Linear Networks arXiv Paper Luis Contreras, Marco Nahas et al. Jun 15 012 Riemannian Metric Matching for Scalable Geometric Modeling of Distributions arXiv Paper Jacob Bamberger, Adam Gosztolai et al. Jun 12 013 Theoretical Aspects of Lie Groupoid and Lie Algebroid Equivariant Convolutional Neural Networks arXiv Paper Michael Astwood Jun 1 014 Cross-Layer Subspace Coupling for LLM Compression: A Unifying Framework and Its Empirical Limits arXiv Paper Snigdha Chandan Khilar May 29 015 Minimal surfaces, Knots, and Neural Networks arXiv Paper Tancredi Schettini Gherardini, Marco Usula May 25 016 A Geometric Gaussian Mixture Representation of Plane Curves arXiv Paper A. Darijani, Benedikt Stratmann et al. 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Apr 23 032 Forward Dynamics of Variable Topology Mechanisms - The Case of Constraint Activation arXiv Paper Andreas Mueller Apr 21 033 Complex normalizing flows can almost be information Kähler-Ricci flows arXiv Paper Andrew Gracyk Apr 20 034 On Higher-Order Geometric Refinements of Classical Covariance Asymptotics: An Approach via Intrinsic and Extrinsic Information Geometry arXiv Paper Malik Amir, Sourangshu Ghosh Apr 14 035 Lectures on AI for Mathematics arXiv Paper Xiaoyan Chen Apr 13 036 Revisiting Anisotropy in Language Transformers: The Geometry of Learning Dynamics arXiv Paper Raphael Bernas, Fanny Jourdan et al. Apr 9 037 Minimising Willmore Energy via Neural Flow arXiv Paper Edward Hirst, H. N. S. Earp et al. Apr 6 038 Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks arXiv Paper Eleanor P. Wiesler Apr 6 039 Bistable Quad-Nets Composed of Four-Bar Linkages arXiv Paper Gudrun Szewieczek et al. Apr 1 040 Geometry-aware similarity metrics for neural representations on Riemannian and statistical manifolds arXiv Paper Alex Cayco Gajic, Arthur Pellegrino Mar 30 041 Yau's Affine Normal Descent: Algorithmic Framework and Convergence Analysis arXiv Paper Yi-Shuai Niu, A. Sheshmani et al. Mar 30 042 Directional Mollification for Knot-Preserving $C^{\infty}$ Smoothing of Polygonal Chains with Explicit Curvature Bounds arXiv Paper Alfredo González-Calvin et al. Mar 23 043 Accelerate Vector Diffusion Maps by Landmarks arXiv Paper Sing-Yuan Yeh, Yi-An Wu et al. Mar 22 044 The Port-Hamiltonian Structure of Vehicle Manipulator Systems arXiv Paper Ramy Rashad Feb 25 045 An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale arXiv Paper Adrián Javaloy et al. Feb 16 046 Distributed Quantum Gaussian Processes for Multi-Agent Systems arXiv Paper Meet Gandhi, George P. 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Jan 23 055 Asymmetric Friction in Geometric Locomotion arXiv Paper Ross L. Hatton et al. Dec 27, 2025 056 Enhanced 3D Shape Analysis via Information Geometry arXiv Paper Amit Vishwakarma et al. Dec 18, 2025 057 Rates and architectures for learning geometrically non-trivial operators arXiv Paper T. Mitchell Roddenberry et al. Dec 10, 2025 058 RNNs perform task computations by dynamically warping neural representations arXiv Paper Arthur Pellegrino et al. Dec 3, 2025 059 Fiber Bundle Networks: A Geometric Machine Learning Paradigm arXiv Paper Dong Liu Dec 1, 2025 060 Emergent Riemannian geometry over learning discrete computations on continuous manifolds arXiv Paper Julian Brandon et al. Nov 28, 2025