According to our database1, Nicolas Boumal authored at least 32 papers between 2011 and 2020.
Legend:Book In proceedings Article PhD thesis Other
Multi-Target Detection With an Arbitrary Spacing Distribution.
IEEE Trans. Signal Process., 2020
Heterogeneous Multireference Alignment for Images With Application to 2D Classification in Single Particle Reconstruction.
IEEE Trans. Image Process., 2020
Multi-target detection with application to cryo-electron microscopy.
Efficiently escaping saddle points on manifolds.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Bispectrum Inversion With Application to Multireference Alignment.
IEEE Trans. Signal Process., 2018
Non-Convex Phase Retrieval From STFT Measurements.
IEEE Trans. Inf. Theory, 2018
Near-Optimal Bounds for Phase Synchronization.
SIAM J. Optim., 2018
Toward single particle reconstruction without particle picking: Breaking the detection limit.
Smoothed analysis of the low-rank approach for smooth semidefinite programs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
3D ab initio modeling in cryo-EM by autocorrelation analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form.
Proceedings of the Conference On Learning Theory, 2018
Heterogeneous multireference alignment: A single pass approach.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
Tightness of the maximum likelihood semidefinite relaxation for angular synchronization.
Math. Program., 2017
Nonconvex Phase Synchronization.
SIAM J. Optim., 2016
The non-convex Burer-Monteiro approach works on smooth semidefinite programs.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
On the low-rank approach for semidefinite programs arising in synchronization and community detection.
Proceedings of the 29th Conference on Learning Theory, 2016
Improved fidelity of brain microstructure mapping from single-shell diffusion MRI.
Medical Image Anal., 2015
A Riemannian low-rank method for optimization over semidefinite matrices with block-diagonal constraints.
Riemannian Trust Regions with Finite-Difference Hessian Approximations are Globally Convergent.
Proceedings of the Geometric Science of Information - Second International Conference, 2015
Optimization and estimation on manifolds.
PhD thesis, 2014
Concentration of the Kirchhoff index for Erdős-Rényi graphs.
Syst. Control. Lett., 2014
Manopt, a matlab toolbox for optimization on manifolds.
J. Mach. Learn. Res., 2014
A Riemannian subgradient algorithm for economic dispatch with valve-point effect.
J. Comput. Appl. Math., 2014
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
On Intrinsic Cramér-Rao Bounds for Riemannian Submanifolds and Quotient Manifolds.
IEEE Trans. Signal Process., 2013
Expected performance bounds for estimation on graphs from random relative measurements.
Estimation of a Multi-fascicle Model from Single B-Value Data with a Population-Informed Prior.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Interpolation and Regression of Rotation Matrices.
Proceedings of the Geometric Science of Information - First International Conference, 2013
Robust estimation of rotations from relative measurements by maximum likelihood.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Cramér-Rao bounds for synchronization of rotations
RTRMC: A Riemannian trust-region method for low-rank matrix completion.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Discrete regression methods on the cone of positive-definite matrices.
Proceedings of the IEEE International Conference on Acoustics, 2011