frechet mean

End-to-End Deep Learning for Predicting Metric Space-Valued Outputs JMLR 2026 Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks AAAI 2026 Change Point Detection in Hadamard Spaces by Alternating Minimization AISTATS 2025 Concentration of empirical barycenters in metric spaces ALT 2024 Finding the Global Semantic Representation in GAN through Fréchet Mean ICLR 2023 Geometry-Aware Adaptation for Pretrained Models NeurIPS 2023 Statistical Guarantees for Consensus Clustering ICLR 2023 Learning with metric losses COLT 2022 Shape And Structure Preserving Differential Privacy NeurIPS 2022 Differential Privacy Over Riemannian Manifolds NeurIPS 2021 Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data ICCV 2019 Communication Efficient Parallel Algorithms for Optimization on Manifolds NeurIPS 2018 Recursive Frechet Mean Computation on the Grassmannian and its Applications to Computer Vision ICCV 2015 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009