Yuehaw Khoo

Orcid: 0000-0002-8472-8984

According to our database1, Yuehaw Khoo authored at least 38 papers between 2013 and 2024.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


Augmented Lagrangian method for coupled-cluster.
CoRR, 2024

Nonparametric Estimation via Variance-Reduced Sketching.
CoRR, 2024

A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization.
SIAM J. Matrix Anal. Appl., June, 2023

Committor functions via tensor networks.
J. Comput. Phys., 2023

Matching via Distance Profiles.
CoRR, 2023

Convex Relaxation for Fokker-Planck.
CoRR, 2023

Combining Particle and Tensor-network Methods for Partial Differential Equations via Sketching.
CoRR, 2023

Tensorizing flows: a tool for variational inference.
CoRR, 2023

Deep Neural-network Prior for Orbit Recovery from Method of Moments.
CoRR, 2023

Generative Modeling via Hierarchical Tensor Sketching.
CoRR, 2023

Joint Community Detection and Rotational Synchronization via Semidefinite Programming.
SIAM J. Math. Data Sci., September, 2022

NMR assignment through linear programming.
J. Glob. Optim., 2022

High-dimensional density estimation with tensorizing flow.
CoRR, 2022

Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms.
CoRR, 2022

Generative Modeling via Tree Tensor Network States.
CoRR, 2022

Reinforced Inverse Scattering.
CoRR, 2022

Generative modeling via tensor train sketching.
CoRR, 2022

Efficient Construction of Tensor Ring Representations from Sampling.
Multiscale Model. Simul., 2021

A semigroup method for high dimensional committor functions based on neural network.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

Semidefinite Relaxation of Multimarginal Optimal Transport for Strictly Correlated Electrons in Second Quantization.
SIAM J. Sci. Comput., 2020

Multiscale semidefinite programming approach to positioning problems with pairwise structure.
CoRR, 2020

Solving for high dimensional committor functions using neural network with online approximation to derivatives.
CoRR, 2020

SwitchNet: A Neural Network Model for Forward and Inverse Scattering Problems.
SIAM J. Sci. Comput., 2019

Convex Relaxation Approaches for Strictly Correlated Density Functional Theory.
SIAM J. Sci. Comput., 2019

Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles.
CoRR, 2019

Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization.
CoRR, 2018

Solving for high dimensional committor functions using artificial neural networks.
CoRR, 2018

Semidefinite programming approach for the quadratic assignment problem with a sparse graph.
Comput. Optim. Appl., 2018

Fast and Robust Discrete Computational Imaging.
Proceedings of the Computational Imaging XV, Burlingame, 2017

Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite Programming.
IEEE Trans. Image Process., 2016

Bias Correction in Saupe Tensor Estimation.
CoRR, 2016

Residual Dipolar Coupling, Protein Backbone Conformation and Semidefinite Programming.
CoRR, 2016

Variable splitting techniques for discrete tomography.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Global Registration of Multiple Point Clouds Using Semidefinite Programming.
SIAM J. Optim., 2015

Towards non-iterative closest point: Exact recovery of pose for rigid 2D/3D registration using semidefinite programming.
CoRR, 2015

Large-scale sensor network localization via rigid subnetwork registration.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Open Problem: Tightness of maximum likelihood semidefinite relaxations.
Proceedings of The 27th Conference on Learning Theory, 2014

Global registration of multiple point clouds using semidefinite programming.
CoRR, 2013