Manifold Learning, Riemannian Computing, Curvature Analysis, Geometric Data
Book Notes: The Dark Art of Linear Algebra by Seth Braver โ Chapter 1 Review
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FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise
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Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning
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Accelerating seismic inversion and uncertainty quantification with efficient high-rank Hessian approximations
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Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks
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Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning
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Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling
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