conftrace_

non-euclidean data

10 papers

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Co-occurring keywords · papers mentioning both

convolutional neural network (3) geometric deep learning (3) graph neural network (2) manifold learning (2) feature learning (2) representation learning (2) reproducing kernel krein space (1) positive decomposition (1) invariant kernel (1) random initialization (1)

Papers

Change Point Detection in Hadamard Spaces by Alternating Minimization AISTATS 2025 Exploiting Data Geometry in Machine Learning AAAI 2024 Fréchet Random Forests for Metric Space Valued Regression with Non Euclidean Predictors JMLR 2024 Geometric Learning with Positively Decomposable Kernels JMLR 2024 Geometrically regularized autoencoders for non-Euclidean data ICLR 2023 Effects of Data Geometry in Early Deep Learning NeurIPS 2022 Universal Approximation Theorems for Differentiable Geometric Deep Learning JMLR 2022 Structure-Aware Convolutional Neural Networks NeurIPS 2018 Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs CVPR 2017 Learning shape correspondence with anisotropic convolutional neural networks NeurIPS 2016