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PLoS OneTran HM, Dinh TV, Nguyen HT, Nguyen HT.
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LAIOR: a hyperbolic neural ODE variational framework for interpretable single-cell manifold learning and trajectory inference. [PDF]
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A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis. [PDF]
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Riemannian geometry for efficient analysis of protein dynamics data. [PDF]
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Quantum computing in finance: a literature review and future directions for trustworthy financial AI. [PDF]
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Exploring the neuromagnetic signatures of cognitive decline from mild cognitive impairment to Alzheimer's disease dementia. [PDF]
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Neuronal tuning aligns dynamically with object and texture manifolds across the visual hierarchy. [PDF]
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Scalable geometric learning with correlation-based functional brain networks. [PDF]
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Multi-Manifold Learning Fault Diagnosis Method Based on Adaptive Domain Selection and Maximum Manifold Edge. [PDF]
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Real-Time EEG Decoding of Motor Imagery via Nonlinear Dimensionality Reduction (Manifold Learning) and Shallow Classifiers. [PDF]
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