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22 matches · math.OA

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001	Universal Coefficients and Mayer-Vietoris for Moore Homology of Ample Groupoids	arXiv	Paper	Luciano Melodia	Mar 21
002	Universal Coefficients and Mayer-Vietoris Sequence for Groupoid Homology	arXiv	Paper	Luciano Melodia	Feb 9
003	Use of operator defect identities in multi-channel signal plus residual-analysis via iterated products and telescoping energy-residuals: Applications to kernels in machine learning	arXiv	Paper	Palle E. T. Jorgensen, Myung-Sin Song et al.	Jan 26
004	Entrywise application of non-linear functions on orthogonally invariant matrices	arXiv	Paper	Roland Speicher et al.	Dec 9, 2024
005	Spectral Truncation Kernels: Noncommutativity in $C^*$-algebraic Kernel Machines	arXiv	Paper	Yuka Hashimoto et al.	May 28, 2024
006	Quantum Circuit $C^*$-algebra Net	arXiv	Paper	Yuka Hashimoto et al.	Apr 9, 2024
007	$C^*$-Algebraic Machine Learning: Moving in a New Direction	arXiv	Paper	Yuka Hashimoto, Masahiro Ikeda et al.	Feb 4, 2024
008	Noncompact uniform universal approximation	arXiv	Paper	T. V. Nuland	Aug 7, 2023
009	Noncommutative $C^$-algebra Net: Learning Neural Networks with Powerful Product Structure in $C^$-algebra	arXiv	Paper	Ryuichiro Hataya, Yuka Hashimoto	Jan 26, 2023
010	Operator theory, kernels, and Feedforward Neural Networks	arXiv	Paper	Palle E. T. Jørgensen, Myung-Sin Song et al.	Jan 3, 2023
011	Guiding continuous operator learning through Physics-based boundary constraints	arXiv	Paper	Nadim Saad, Gaurav Gupta et al.	Dec 14, 2022
012	Physics-Informed Koopman Network	arXiv	Paper	Yuying Liu et al.	Nov 17, 2022
013	Learning in RKHM: a $C^*$-Algebraic Twist for Kernel Machines	arXiv	Paper	Yuka Hashimoto, M. Ikeda et al.	Oct 21, 2022
014	Sparse Polynomial Optimization: Theory and Practice	arXiv	Paper	Victor Magron et al.	Aug 23, 2022
015	Reproducing kernel Hilbert C*-module and kernel mean embeddings	arXiv	Paper	Yuka Hashimoto, Isao Ishikawa et al.	Jan 27, 2021
016	Kernel Mean Embeddings of Von Neumann-Algebra-Valued Measures	arXiv	Paper	Yuka Hashimoto et al.	Jul 29, 2020
017	Analysis via Orthonormal Systems in Reproducing Kernel Hilbert $C^*$-Modules and Applications	arXiv	Paper	Yuka Hashimoto et al.	Mar 2, 2020
018	Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning	arXiv	Paper	M. Bergomi, Patrizio Frosini et al.	Dec 31, 2018
019	Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalents	arXiv	Paper	Tomohiro Hayase	Apr 9, 2018
020	Operational Calculus for Differentiable Programming	arXiv	Paper	Žiga Sajovic et al.	Oct 25, 2016
021	Dobrushin ergodicity coefficient for Markov operators on cones, and beyond	arXiv	Paper	Stéphane Gaubert et al.	Feb 21, 2013
022	Morphological Filtering in Shape Spaces: Applications using Tree-Based Image Representations	arXiv	Paper	Yongchao Xu, T. Géraud et al.	Apr 20, 2012

Showing 22 of 22 documents