Manopt, a Matlab toolbox for optimization on manifolds

23 August 2013

Papers citing "Manopt, a Matlab toolbox for optimization on manifolds"

50 / 237 papers shown

Title
Riemannian Direct Trajectory Optimization of Rigid Bodies on Matrix Lie Groups Sangli Teng Tzu-Yuan Lin William Clark Ram Vasudevan Maani Ghaffari AI4CE 52 0 0 05 May 2025
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges Ce Ju Reinmar J. Kobler Antoine Collas M. Kawanabe Cuntai Guan Bertrand Thirion 53 0 0 26 Apr 2025
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 77 0 0 26 Mar 2025
Riemannian Geometric-based Meta Learning JuneYoung Park YuMi Lee Tae Joon Kim Jang-Hwan Choi 57 0 0 14 Mar 2025
Higher Order Reduced Rank Regression Leia Greenberg Haim Avron 43 0 0 09 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 75 0 0 01 Mar 2025
Spectral-factorized Positive-definite Curvature Learning for NN Training Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard E. Turner Roger B. Grosse 53 0 0 10 Feb 2025
Nested subspace learning with flags Tom Szwagier Xavier Pennec 61 0 0 09 Feb 2025
Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning Imen Ayadi Florent Bouchard Frédéric Pascal 26 1 0 05 Nov 2024
An Overview of the Burer-Monteiro Method for Certifiable Robot Perception Alan Papalia Yulun Tian David M. Rosen Jonathan P. How John J. Leonard 43 1 0 30 Sep 2024
Riemannian Federated Learning via Averaging Gradient Stream Zhenwei Huang Wen Huang Pratik Jawanpuria Bamdev Mishra FedML 40 1 0 11 Sep 2024
Bounds on the geodesic distances on the Stiefel manifold for a family of Riemannian metrics Simon Mataigne P.-A. Absil Nina Miolane OT 23 2 0 25 Jul 2024
Disciplined Geodesically Convex Programming Andrew Cheng Vaibhav Dixit Melanie Weber 31 1 0 07 Jul 2024
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data Jiaojiao Zhang Jiang Hu Anthony Man-Cho So Mikael Johansson 42 2 0 12 Jun 2024
Riemannian coordinate descent algorithms on matrix manifolds Andi Han Pratik Jawanpuria Bamdev Mishra 53 5 0 04 Jun 2024
Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization Tianyue Wu Gongye Zaitian Qianhao Wang Fei Gao 55 4 0 31 May 2024
Synchronization on circles and spheres with nonlinear interactions Christopher Criscitiello Quentin Rebjock Andrew D. McRae Nicolas Boumal 41 4 0 28 May 2024
Federated Learning on Riemannian Manifolds with Differential Privacy Zhenwei Huang Wen Huang Pratik Jawanpuria Bamdev Mishra FedML 47 6 0 15 Apr 2024
FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Matching Rohit Jena Pratik Chaudhari James C. Gee 52 1 0 01 Apr 2024
Registration of algebraic varieties using Riemannian optimization Florentin Goyens C. Cartis Stéphane Chrétien 3DPC 31 0 0 16 Jan 2024
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching Rico Angell Andrew McCallum 32 1 0 19 Dec 2023
Parallel Computation of Multi-Slice Clustering of Third-Order Tensors Dina Faneva Andriantsiory Camille Coti J. B. Geloun M. Lebbah 8 0 0 29 Sep 2023
Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms Jiaxiang Li Krishnakumar Balasubramanian Shiqian Ma 25 2 0 25 Sep 2023
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives Muhammad Kazim JunGee Hong Min-Gyeom Kim Kwang-Ki K. Kim 44 16 0 22 Sep 2023
Capacity Bounds for Hyperbolic Neural Network Representations of Latent Tree Structures Anastasis Kratsios Rui Hong Haitz Sáez de Ocáriz Borde 36 4 0 18 Aug 2023
Sparse Array Design for Direction Finding using Deep Learning Kumar Vijay Mishra Ahmet M. Elbir K. Ichige 17 3 0 08 Aug 2023
Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices A. Maurais Terrence Alsup Benjamin Peherstorfer Youssef Marzouk 40 3 0 23 Jul 2023
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization Huikang Liu Xiao Li Anthony Man-Cho So 34 3 0 24 May 2023
Alignment of Density Maps in Wasserstein Distance A. Singer Ruiyi Yang 37 8 0 21 May 2023
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion Tanmay Sinha Jayadev Naram Pawan Kumar 39 10 0 13 May 2023
A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion Xiaoqian Liu Xu Han Eric C. Chi B. Nadler 21 0 0 27 Apr 2023
$Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of $2\times2$ Normal-Form Games$ Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of $2\times2$ Normal-Form Games Luke Marris I. Gemp Georgios Piliouras 16 4 0 19 Apr 2023
Differential geometry with extreme eigenvalues in the positive semidefinite cone Cyrus Mostajeran Nathael Da Costa Graham W. Van Goffrier R. Sepulchre 29 4 0 14 Apr 2023
Chordal Averaging on Flag Manifolds and Its Applications Nathan Mankovich Tolga Birdal 35 5 0 23 Mar 2023
Decentralized Riemannian natural gradient methods with Kronecker-product approximations Jiang Hu Kangkang Deng Na Li Quanzheng Li 43 7 0 16 Mar 2023
Gaussian Process on the Product of Directional Manifolds Ziyu Cao Kailai Li GP 146 1 0 13 Mar 2023
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization Yian Deng Tingting Mu 28 1 0 22 Feb 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 33 6 0 16 Feb 2023
Bayesian Learning for Neural Networks: an algorithmic survey M. Magris Alexandros Iosifidis BDL DRL 47 68 0 21 Nov 2022
Manifold Gaussian Variational Bayes on the Precision Matrix M. Magris M. Shabani Alexandros Iosifidis 42 2 0 26 Oct 2022
Bearing-based Relative Localization for Robotic Swarm with Partially Mutual Observations Yingjian Wang Xiangyong Wen Yanjun Cao Chao Xu Fei Gao 42 10 0 15 Oct 2022
Rieoptax: Riemannian Optimization in JAX Saiteja Utpala Andi Han Pratik Jawanpuria Bamdev Mishra 23 3 0 10 Oct 2022
Star-Graph Multimodal Matching Component Analysis for Data Fusion and Transfer Learning Nick Lorenzo 19 0 0 05 Oct 2022
Multi-View Independent Component Analysis with Shared and Individual Sources T. Pandeva Patrick Forré CML 20 5 0 05 Oct 2022
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning Buyun Liang Tim Mitchell Ju Sun OOD 23 7 0 03 Oct 2022
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness Casey Garner Gilad Lerman Shuzhong Zhang 27 0 0 02 Sep 2022
Riemannian accelerated gradient methods via extrapolation Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao 24 9 0 13 Aug 2022
Joint Precoding and Phase Shift Design in Reconfigurable Intelligent Surfaces-Assisted Secret Key Generation Tianyu Lu Liquan Chen Junqing Zhang Chen Chen A. Hu 22 16 0 30 Jul 2022
A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks M.W.J. Paskin D. Baum M. Dean C. V. Tycowicz 17 3 0 26 Jul 2022
Riemannian Stochastic Gradient Method for Nested Composition Optimization Dewei Zhang S. Tajbakhsh 28 1 0 19 Jul 2022