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
Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm Berlin Chen Cyrus Mostajeran Salem Said 25 2 0 02 Jul 2022
On a class of geodesically convex optimization problems solved via Euclidean MM methods Melanie Weber S. Sra 27 4 0 22 Jun 2022
Federated Learning on Riemannian Manifolds Jiaxiang Li Shiqian Ma FedML 21 13 0 12 Jun 2022
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces Michael I. Jordan Tianyi Lin Emmanouil-Vasileios Vlatakis-Gkaragkounis 34 19 0 04 Jun 2022
Differentially private Riemannian optimization Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao 38 10 0 19 May 2022
Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition Ching-pei Lee Ling Liang Tianyun Tang Kim-Chuan Toh 40 11 0 29 Apr 2022
Riemannian Hamiltonian methods for min-max optimization on manifolds Andi Han Bamdev Mishra Pratik Jawanpuria Pawan Kumar Junbin Gao 43 17 0 25 Apr 2022
Making Parameterization and Constrains of Object Landmark Globally Consistent via SPD(3) Manifold and Improved Cost Functions Yutong Hu Wei Wang 32 4 0 22 Apr 2022
Semantic keypoint-based pose estimation from single RGB frames Karl Schmeckpeper Philip R. Osteen Yufu Wang Georgios Pavlakos Kenneth Chaney Wyatt Jordan Xiaowei Zhou Konstantinos G. Derpanis Kostas Daniilidis 3DH 39 6 0 12 Apr 2022
MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization Xiaoyu He Zibin Zheng Yuren Zhou 17 30 0 15 Mar 2022
Riemannian block SPD coupling manifold and its application to optimal transport Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao OT 30 6 0 30 Jan 2022
Discriminative Supervised Subspace Learning for Cross-modal Retrieval Haoming Zhang Xiaojun Wu Tianyang Xu Dongling Zhang 20 0 0 26 Jan 2022
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning Buyun Liang Tim Mitchell Ju Sun 17 3 0 27 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 48 417 0 24 Nov 2021
Breaking Good: Fracture Modes for Realtime Destruction Silvia Sellán Jack Luong Leticia Mattos Da Silva Aravind Ramakrishnan Yuchuan Yang Alec Jacobson AI4CE 13 1 0 09 Nov 2021
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices F. López Beatrice Pozzetti Steve J. Trettel Michael Strube Anna Wienhard 39 17 0 26 Oct 2021
Learning with symmetric positive definite matrices via generalized Bures-Wasserstein geometry Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao 21 5 0 20 Oct 2021
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation Florian Bernard Daniel Cremers J. Thunberg 47 8 0 30 Sep 2021
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems Jayadev Naram Tanmay Sinha Pawan Kumar 46 1 0 30 Sep 2021
Robust Extrinsic Symmetry Estimation in 3D Point Clouds R. Nagar 3DPC 29 0 0 21 Sep 2021
Nonlinear matrix recovery using optimization on the Grassmann manifold Florentin Goyens C. Cartis Armin Eftekhari 29 6 0 13 Sep 2021
Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization Heng Yang Luca Carlone 37 53 0 07 Sep 2021
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds R. Godaz Benyamin Ghojogh Reshad Hosseini R. Monsefi Fakhri Karray Mark Crowley 22 5 0 25 Aug 2021
A diffusion-map-based algorithm for gradient computation on manifolds and applications A. A. Gomez A. J. S. Neto J. Zubelli 12 2 0 16 Aug 2021
Tensor completion using geodesics on Segre manifolds Lars Swijsen J. Veken N. Vannieuwenhoven 3DV 27 6 0 02 Aug 2021
Interactive Dimensionality Reduction for Comparative Analysis Takanori Fujiwara Xinhai Wei Jian Zhao K. Ma 27 30 0 29 Jun 2021
Overcoming barriers to scalability in variational quantum Monte Carlo Tianchen Zhao Saibal De Brian Chen J. Stokes S. Veerapaneni BDL DRL 24 11 0 24 Jun 2021
Generalized One-Class Learning Using Pairs of Complementary Classifiers A. Cherian Jue Wang VLM 16 1 0 24 Jun 2021
Faster Randomized Methods for Orthogonality Constrained Problems B. Shustin H. Avron 24 2 0 22 Jun 2021
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis Zihang Meng Rudrasis Chakraborty Vikas Singh 9 9 0 08 Jun 2021
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples C. Kümmerle C. M. Verdun 35 20 0 03 Jun 2021
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao 29 38 0 01 Jun 2021
An Inexact Projected Gradient Method with Rounding and Lifting by Nonlinear Programming for Solving Rank-One Semidefinite Relaxation of Polynomial Optimization Heng Yang Ling Liang Luca Carlone Kim-Chuan Toh 31 29 0 28 May 2021
TensorFlow RiemOpt: a library for optimization on Riemannian manifolds O. Smirnov 27 7 0 27 May 2021
Semi-Supervised Metric Learning: A Deep Resurrection U. Dutta Mehrtash Harandi C. Sekhar 25 7 0 10 May 2021
The Complex-Step Derivative Approximation on Matrix Lie Groups C. C. Cossette A. Walsh James Richard Forbes 33 18 0 06 May 2021
Riemannian Geometry with differentiable ambient space and metric operator Du Nguyen 18 1 0 04 May 2021
Tangent Space Backpropagation for 3D Transformation Groups Zachary Teed Jia Deng 30 51 0 22 Mar 2021
Manifold optimization for non-linear optimal transport problems Bamdev Mishra N. Satyadev Hiroyuki Kasai Pratik Jawanpuria OT 14 10 0 01 Mar 2021
Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming Ahmet M. Elbir Kumar Vijay Mishra Symeon Chatzinotas 24 130 0 27 Feb 2021
Multimodal-Aware Weakly Supervised Metric Learning with Self-weighting Triplet Loss Huiyuan Deng Xiangzhu Meng Lin Feng 19 1 0 03 Feb 2021
New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition Shuyu Dong Bin Gao Yu Guan Franccois Glineur 8 10 0 26 Jan 2021
Fast and Robust Certifiable Estimation of the Relative Pose Between Two Calibrated Cameras Mercedes Garcia-Salguero Javier González Jiménez 45 7 0 21 Jan 2021
Riemannian Manifold Optimization for Discriminant Subspace Learning Wanguang Yin Zhengming Ma Quanying Liu 11 0 0 20 Jan 2021
Community detection using fast low-cardinality semidefinite programming Po-Wei Wang J. Zico Kolter 6 5 0 04 Dec 2020
Non-Rigid Puzzles Or Litany Emanuele Rodolà Alexander M. Bronstein Michael M. Bronstein Daniel Cremers 3DV 6 76 0 26 Nov 2020
Supervised PCA: A Multiobjective Approach Alexander Ritchie Laura Balzano Daniel A Kessler Chandra S. Sripada Clayton Scott 8 2 0 10 Nov 2020
Operator-valued formulas for Riemannian Gradient and Hessian and families of tractable metrics Du Nguyen 16 5 0 21 Sep 2020
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method C. Kümmerle C. M. Verdun 24 6 0 07 Sep 2020
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss U. Dutta Mehrtash Harandi C. Sekhar SSL 20 16 0 22 Aug 2020