Yuehaw Khoo

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Augmented Lagrangian method for coupled-cluster.

Fabian M. Faulstich, Yuehaw Khoo, Kangbo Li

CoRR, 2024

Nonparametric Estimation via Variance-Reduced Sketching.

Yuehaw Khoo, Yifan Peng, Daren Wang

CoRR, 2024

2023

A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization.

Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao

SIAM J. Matrix Anal. Appl., June, 2023

Committor functions via tensor networks.

Yian Chen, Jeremy G. Hoskins, Yuehaw Khoo, Michael Lindsey

J. Comput. Phys., 2023

Matching via Distance Profiles.

Yoonhaeng Hur, Yuehaw Khoo

CoRR, 2023

Convex Relaxation for Fokker-Planck.

Yian Chen, Yuehaw Khoo, Lek-Heng Lim

CoRR, 2023

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

Yian Chen, Yuehaw Khoo

CoRR, 2023

Tensorizing flows: a tool for variational inference.

Yuehaw Khoo, Michael Lindsey, Hongli Zhao

CoRR, 2023

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

Yuehaw Khoo, Sounak Paul, Nir Sharon

CoRR, 2023

Generative Modeling via Hierarchical Tensor Sketching.

Yifan Peng, Yian Chen, E. Miles Stoudenmire, Yuehaw Khoo

CoRR, 2023

2022

Joint Community Detection and Rotational Synchronization via Semidefinite Programming.

Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao

SIAM J. Math. Data Sci., September, 2022

NMR assignment through linear programming.

José F. S. Bravo Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer

J. Glob. Optim., 2022

High-dimensional density estimation with tensorizing flow.

Yinuo Ren, Hongli Zhao, Yuehaw Khoo, Lexing Ying

CoRR, 2022

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

Tamir Bendory, Yuehaw Khoo, Joe Kileel, Oscar Mickelin, Amit Singer

CoRR, 2022

Generative Modeling via Tree Tensor Network States.

Xun Tang, Yoonhaeng Hur, Yuehaw Khoo, Lexing Ying

CoRR, 2022

Reinforced Inverse Scattering.

Hanyang Jiang, Yuehaw Khoo, Haizhao Yang

CoRR, 2022

Generative modeling via tensor train sketching.

Yoonhaeng Hur, Jeremy G. Hoskins, Michael Lindsey, E. Miles Stoudenmire, Yuehaw Khoo

CoRR, 2022

2021

Efficient Construction of Tensor Ring Representations from Sampling.

Yuehaw Khoo, Jianfeng Lu, Lexing Ying

Multiscale Model. Simul., 2021

A semigroup method for high dimensional committor functions based on neural network.

Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Semidefinite Relaxation of Multimarginal Optimal Transport for Strictly Correlated Electrons in Second Quantization.

Yuehaw Khoo, Lin Lin, Michael Lindsey, Lexing Ying

SIAM J. Sci. Comput., 2020

Multiscale semidefinite programming approach to positioning problems with pairwise structure.

Yian Chen, Yuehaw Khoo, Michael Lindsey

CoRR, 2020

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

Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying

CoRR, 2020

2019

SwitchNet: A Neural Network Model for Forward and Inverse Scattering Problems.

Yuehaw Khoo, Lexing Ying

SIAM J. Sci. Comput., 2019

Convex Relaxation Approaches for Strictly Correlated Density Functional Theory.

Yuehaw Khoo, Lexing Ying

SIAM J. Sci. Comput., 2019

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

Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer

CoRR, 2019

2018

Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization.

Senwei Liang, Yuehaw Khoo, Haizhao Yang

CoRR, 2018

Solving for high dimensional committor functions using artificial neural networks.

Yuehaw Khoo, Jianfeng Lu, Lexing Ying

CoRR, 2018

Semidefinite programming approach for the quadratic assignment problem with a sparse graph.

José F. S. Bravo Ferreira, Yuehaw Khoo, Amit Singer

Comput. Optim. Appl., 2018

2017

Fast and Robust Discrete Computational Imaging.

Ahmet Tuysuzoglu, Yuehaw Khoo, W. Clem Karl

Proceedings of the Computational Imaging XV, Burlingame, 2017

2016

Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite Programming.

Yuehaw Khoo, Ankur Kapoor

IEEE Trans. Image Process., 2016

Bias Correction in Saupe Tensor Estimation.

Yuehaw Khoo, Amit Singer, David Cowburn

CoRR, 2016

Residual Dipolar Coupling, Protein Backbone Conformation and Semidefinite Programming.

Yuehaw Khoo, Amit Singer, David Cowburn

CoRR, 2016

Variable splitting techniques for discrete tomography.

Ahmet Tuysuzoglu, Yuehaw Khoo, W. Clem Karl

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Global Registration of Multiple Point Clouds Using Semidefinite Programming.

Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer

SIAM J. Optim., 2015

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

Yuehaw Khoo, Ankur Kapoor

CoRR, 2015

Large-scale sensor network localization via rigid subnetwork registration.

Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Open Problem: Tightness of maximum likelihood semidefinite relaxations.

Afonso S. Bandeira, Yuehaw Khoo, Amit Singer

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Global registration of multiple point clouds using semidefinite programming.

Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer, David Cowburn

CoRR, 2013