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Manopt, a Matlab toolbox for optimization on manifolds

Manopt, a Matlab toolbox for optimization on manifolds

23 August 2013
Nicolas Boumal
Bamdev Mishra
P.-A. Absil
R. Sepulchre
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Papers citing "Manopt, a Matlab toolbox for optimization on manifolds"

50 / 237 papers shown
Title
Wavelet Sparse Regularization for Manifold-Valued Data
Wavelet Sparse Regularization for Manifold-Valued Data
M. Storath
Andreas Weinmann
14
5
0
01 Aug 2018
Fast and Accurate Intrinsic Symmetry Detection
Fast and Accurate Intrinsic Symmetry Detection
R. Nagar
Shanmuganathan Raman
15
18
0
26 Jul 2018
Contrastive Video Representation Learning via Adversarial Perturbations
Contrastive Video Representation Learning via Adversarial Perturbations
Jue Wang
A. Cherian
19
1
0
24 Jul 2018
Convergence Rate of Block-Coordinate Maximization Burer-Monteiro Method
  for Solving Large SDPs
Convergence Rate of Block-Coordinate Maximization Burer-Monteiro Method for Solving Large SDPs
Murat A. Erdogdu
Asuman Ozdaglar
P. Parrilo
N. D. Vanli
9
33
0
12 Jul 2018
Shape analysis of framed space curves
Shape analysis of framed space curves
Tom Needham
26
4
0
10 Jul 2018
A Supervised Geometry-Aware Mapping Approach for Classification of
  Hyperspectral Images
A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images
Ramanarayan Mohanty
S. Happy
Aurobinda Routray
11
0
0
07 Jul 2018
Low-rank geometric mean metric learning
Low-rank geometric mean metric learning
Mukul Bhutani
Pratik Jawanpuria
Hiroyuki Kasai
Bamdev Mishra
10
10
0
14 Jun 2018
Smoothed analysis of the low-rank approach for smooth semidefinite
  programs
Smoothed analysis of the low-rank approach for smooth semidefinite programs
Thomas Pumir
Samy Jelassi
Nicolas Boumal
19
27
0
11 Jun 2018
Discovering and Removing Exogenous State Variables and Rewards for
  Reinforcement Learning
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
Thomas G. Dietterich
George Trimponias
Zhitang Chen
BDL
OffRL
17
32
0
05 Jun 2018
geomstats: a Python Package for Riemannian Geometry in Machine Learning
geomstats: a Python Package for Riemannian Geometry in Machine Learning
Nina Miolane
Johan Mathe
Claire Donnat
Mikael Jorda
Xavier Pennec
AI4CE
37
123
0
21 May 2018
Variational Regularization of Inverse Problems for Manifold-Valued Data
Variational Regularization of Inverse Problems for Manifold-Valued Data
M. Storath
Andreas Weinmann
7
5
0
27 Apr 2018
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval
  Criterion
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
Armand Joulin
Piotr Bojanowski
Tomas Mikolov
Hervé Jégou
Edouard Grave
26
306
0
20 Apr 2018
Human Motion Capture Using a Drone
Human Motion Capture Using a Drone
Xiaowei Zhou
Sikang Liu
Georgios Pavlakos
Vijay Kumar
Kostas Daniilidis
10
41
0
17 Apr 2018
Non-Linear Temporal Subspace Representations for Activity Recognition
Non-Linear Temporal Subspace Representations for Activity Recognition
A. Cherian
S. Sra
Stephen Gould
Richard I. Hartley
29
44
0
27 Mar 2018
Provably robust estimation of modulo 1 samples of a smooth function with
  applications to phase unwrapping
Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping
Mihai Cucuringu
Hemant Tyagi
13
12
0
09 Mar 2018
Distributed Model Construction in Radio Interferometric Calibration
Distributed Model Construction in Radio Interferometric Calibration
S. Yatawatta
14
0
0
29 Jan 2018
Active Community Detection with Maximal Expected Model Change
Active Community Detection with Maximal Expected Model Change
D. Kushnir
Benjamin Mirabelli
21
2
0
11 Jan 2018
Honey from the Hives: A Theoretical and Computational Exploration of
  Combinatorial Hives
Honey from the Hives: A Theoretical and Computational Exploration of Combinatorial Hives
J. Lombard
14
1
0
14 Dec 2017
A dual framework for low-rank tensor completion
A dual framework for low-rank tensor completion
M. Nimishakavi
Pratik Jawanpuria
Bamdev Mishra
26
36
0
04 Dec 2017
Data Multiplexing in Radio Interferometric Calibration
Data Multiplexing in Radio Interferometric Calibration
S. Yatawatta
F. Diblen
H. Spreeuw
L. Koopmans
19
10
0
28 Nov 2017
Dimensionality Reduction on Grassmannian via Riemannian Optimization: A
  Generalized Perspective
Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective
Tianci Liu
Zelin Shi
Yunpeng Liu
17
0
0
17 Nov 2017
Riemannian Optimization via Frank-Wolfe Methods
Riemannian Optimization via Frank-Wolfe Methods
Melanie Weber
S. Sra
20
32
0
30 Oct 2017
On denoising modulo 1 samples of a function
On denoising modulo 1 samples of a function
Mihai Cucuringu
Hemant Tyagi
17
22
0
27 Oct 2017
Subjectively Interesting Subgroup Discovery on Real-valued Targets
Subjectively Interesting Subgroup Discovery on Real-valued Targets
Jefrey Lijffijt
Bo Kang
W. Duivesteijn
Kai Puolamäki
Emilia Oikarinen
T. D. Bie
10
10
0
12 Oct 2017
Unsupervised Domain Adaptation with Copula Models
Unsupervised Domain Adaptation with Copula Models
Cuong Tran
Ognjen Rudovic
Vladimir Pavlovic
35
4
0
29 Sep 2017
Learning Invariant Riemannian Geometric Representations Using Deep Nets
Learning Invariant Riemannian Geometric Representations Using Deep Nets
Suhas Lohit
Pavan Turaga
13
13
0
30 Aug 2017
Tensor Networks for Dimensionality Reduction and Large-Scale
  Optimizations. Part 2 Applications and Future Perspectives
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives
A. Cichocki
Anh-Huy Phan
Qibin Zhao
Namgil Lee
Ivan Oseledets
Masashi Sugiyama
Danilo P. Mandic
34
296
0
30 Aug 2017
Detecting Approximate Reflection Symmetry in a Point Set using
  Optimization on Manifold
Detecting Approximate Reflection Symmetry in a Point Set using Optimization on Manifold
R. Nagar
Shanmuganathan Raman
11
2
0
27 Jun 2017
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic
  Riemannian Optimization
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization
Reshad Hosseini
S. Sra
24
61
0
10 Jun 2017
Empirical Bayes Matrix Completion
Empirical Bayes Matrix Completion
Takeru Matsuda
F. Komaki
6
4
0
05 Jun 2017
The Mixing method: low-rank coordinate descent for semidefinite
  programming with diagonal constraints
The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints
Po-Wei Wang
Wei-Cheng Chang
J. Zico Kolter
16
18
0
01 Jun 2017
Sequence Summarization Using Order-constrained Kernelized Feature
  Subspaces
Sequence Summarization Using Order-constrained Kernelized Feature Subspaces
A. Cherian
S. Sra
Richard I. Hartley
AI4TS
28
1
0
24 May 2017
A Riemannian gossip approach to subspace learning on Grassmann manifold
A Riemannian gossip approach to subspace learning on Grassmann manifold
Bamdev Mishra
Hiroyuki Kasai
Pratik Jawanpuria
Atul Saroop
20
1
0
01 May 2017
Structured low-rank matrix learning: algorithms and applications
Structured low-rank matrix learning: algorithms and applications
Pratik Jawanpuria
Bamdev Mishra
CML
16
6
0
24 Apr 2017
Generalized Rank Pooling for Activity Recognition
Generalized Rank Pooling for Activity Recognition
A. Cherian
Basura Fernando
Mehrtash Harandi
Stephen Gould
21
82
0
07 Apr 2017
Accelerated Stochastic Quasi-Newton Optimization on Riemann Manifolds
Accelerated Stochastic Quasi-Newton Optimization on Riemann Manifolds
A. Roychowdhury
24
4
0
06 Apr 2017
Multi-Label Learning with Global and Local Label Correlation
Multi-Label Learning with Global and Local Label Correlation
Yue Zhu
James T. Kwok
Zhi-Hua Zhou
13
302
0
04 Apr 2017
Multivariate Regression with Gross Errors on Manifold-valued Data
Multivariate Regression with Gross Errors on Manifold-valued Data
Xiaowei Zhang
Xudong Shi
Yu Sun
Li Cheng
15
8
0
26 Mar 2017
Riemannian stochastic quasi-Newton algorithm with variance reduction and
  its convergence analysis
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
Hiroyuki Kasai
Hiroyuki Sato
Bamdev Mishra
21
22
0
15 Mar 2017
6-DoF Object Pose from Semantic Keypoints
6-DoF Object Pose from Semantic Keypoints
Georgios Pavlakos
Xiaowei Zhou
Aaron Chan
Konstantinos G. Derpanis
Kostas Daniilidis
105
392
0
14 Mar 2017
Riemannian stochastic variance reduced gradient algorithm with
  retraction and vector transport
Riemannian stochastic variance reduced gradient algorithm with retraction and vector transport
Hiroyuki Sato
Hiroyuki Kasai
Bamdev Mishra
30
58
0
18 Feb 2017
MonoCap: Monocular Human Motion Capture using a CNN Coupled with a
  Geometric Prior
MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior
Xiaowei Zhou
Menglong Zhu
Georgios Pavlakos
Spyridon Leonardos
Konstantinos G. Derpanis
Kostas Daniilidis
3DH
93
210
0
09 Jan 2017
ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian
  Manifold Optimization
ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian Manifold Optimization
Sean Martin
Andrew M. Raim
Wen Huang
K. Adragni
24
13
0
12 Dec 2016
Learning an Invariant Hilbert Space for Domain Adaptation
Learning an Invariant Hilbert Space for Domain Adaptation
Samitha Herath
Mehrtash Harandi
Fatih Porikli
18
107
0
25 Nov 2016
Generalized BackPropagation, Étude De Cas: Orthogonality
Generalized BackPropagation, Étude De Cas: Orthogonality
Mehrtash Harandi
Basura Fernando
25
62
0
17 Nov 2016
A Certifiably Correct Algorithm for Synchronization over the Special
  Euclidean Group
A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group
David M. Rosen
Luca Carlone
Afonso S. Bandeira
J. Leonard
57
343
0
01 Nov 2016
Optimization on Submanifolds of Convolution Kernels in CNNs
Optimization on Submanifolds of Convolution Kernels in CNNs
Mete Ozay
Takayuki Okatani
56
46
0
22 Oct 2016
Partial Least Squares Regression on Riemannian Manifolds and Its
  Application in Classifications
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications
Haoran Chen
Yanfeng Sun
Junbin Gao
Yongli Hu
Baocai Yin
12
1
0
21 Sep 2016
RFM-SLAM: Exploiting Relative Feature Measurements to Separate
  Orientation and Position Estimation in SLAM
RFM-SLAM: Exploiting Relative Feature Measurements to Separate Orientation and Position Estimation in SLAM
S. Agarwal
Vikram Shree
S. Chakravorty
14
10
0
16 Sep 2016
Proceedings of the third "international Traveling Workshop on
  Interactions between Sparse models and Technology" (iTWIST'16)
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16)
V. Abrol
O. Absil
P.-A. Absil
S. Anthoine
P. Antoine
...
D. Vukobratović
Li Wang
B. Wirth
Gerhard Wunder
Hongyan Zhang
31
0
0
14 Sep 2016
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