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Metabolic Supercharging: Active Learning Strategies for Increasing Student Engagement With Metabolism. [PDF]
Biochem Mol Biol EducJohnson RJ, Genova LA, Grimes CL.
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The representational bottleneck in rehabilitation AI: from human-cognitive proxies to pathway-based clinical representations. [PDF]
Front Digit HealthYang EJ, Chung SH.
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Context-aware multimodal AI navigates hidden pathways in five centuries of art evolution. [PDF]
Proc Natl Acad Sci U S AKim J, Lee B, You T, Yun J.
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Enhancing Image-Text Retrieval via Region-Grid Interaction and Semantic Calibration. [PDF]
Sensors (Basel)Lu C, Feng M.
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Irreducible representations that cannot be separated from the trivial representation
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Separated Representations and PGD-Based Model Reduction
CISM International Centre for Mechanical Sciences, Courses and Lectures, 2014 The papers in this volume start with a description of the construction of reduced models through a review of Proper Orthogonal Decomposition (POD) and reduced basis models, including their mathematical foundations and some challenging applications, then
F. Chinesta, P. Ladevèze
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Separated Representations of Coupled Models
ESAFORM Bookseries on Material Forming, 2014In this chapter we explore some new possibilities based on separated space-time representations, that are closely inspired from some existing and well established strategies [1, 2].
Elias Cueto
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Separable Representations of Rings of Operators
The Annals of Mathematics, 1957Let A be a ring of operators (i.e., a weakly closed self-adjoint algebra of operators containing the identity) in a Hilbert space H. By a representation of A we understand an algebraic *-homomorphism ? of A into the algebra of all bounded operators on some Hilbert space K, which carries the identity into the identity operator.
Feldman, J., Fell, J. M. G.
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Unsupervised Learning of Group Invariant and Equivariant Representations
Neural Information Processing Systems, 2022Equivariant neural networks, whose hidden features transform according to representations of a group G acting on the data, exhibit training efficiency and an improved generalisation performance.
R. Winter +4 more
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