Yuehaw Khoo

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 42

Top Topics

Iterative Closest Point

Augmented Lagrangian

Linear Programming

Top Venues

SIAM J. Sci. Comput.

J. Comput. Phys.

Publications

Yuehaw Khoo, Yifan Peng, Daren Wang
Nonparametric Estimation via Variance-Reduced Sketching. CoRR (2024)
Fabian M. Faulstich, Yuehaw Khoo, Kangbo Li
Augmented Lagrangian method for coupled-cluster. CoRR (2024)
Yuehaw Khoo, Sounak Paul, Nir Sharon
Deep neural-network prior for orbit recovery from method of moments. J. Comput. Appl. Math. 444 (2024)
Yuehaw Khoo, Michael Lindsey
Scalable semidefinite programming approach to variational embedding for quantum many-body problems. J. Comput. Phys. 510 (2024)
Yoonhaeng Hur, Yuehaw Khoo
Matching via Distance Profiles. CoRR (2023)
Yian Chen, Jeremy Hoskins, Yuehaw Khoo, Michael Lindsey
Committor functions via tensor networks. J. Comput. Phys. 472 (2023)
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. SIAM J. Matrix Anal. Appl. 44 (2) (2023)
Yuehaw Khoo, Sounak Paul, Nir Sharon
Deep Neural-network Prior for Orbit Recovery from Method of Moments. CoRR (2023)
Yifan Peng, Yian Chen, E. Miles Stoudenmire, Yuehaw Khoo
Generative Modeling via Hierarchical Tensor Sketching. CoRR (2023)
Yuehaw Khoo, Michael Lindsey, Hongli Zhao
Tensorizing flows: a tool for variational inference. CoRR (2023)
Yian Chen, Yuehaw Khoo
Combining Particle and Tensor-network Methods for Partial Differential Equations via Sketching. CoRR (2023)
Yian Chen, Yuehaw Khoo, Lek-Heng Lim
Convex Relaxation for Fokker-Planck. CoRR (2023)
Xun Tang, Yoonhaeng Hur, Yuehaw Khoo, Lexing Ying
Generative Modeling via Tree Tensor Network States. CoRR (2022)
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
Joint Community Detection and Rotational Synchronization via Semidefinite Programming. SIAM J. Math. Data Sci. 4 (3) (2022)
Hanyang Jiang, Yuehaw Khoo, Haizhao Yang
Reinforced Inverse Scattering. CoRR (2022)
Tamir Bendory, Yuehaw Khoo, Joe Kileel, Oscar Mickelin, Amit Singer
Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms. CoRR (2022)
José F. S. Bravo Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer
NMR assignment through linear programming. J. Glob. Optim. 83 (1) (2022)
Yinuo Ren, Hongli Zhao, Yuehaw Khoo, Lexing Ying
High-dimensional density estimation with tensorizing flow. CoRR (2022)
Yian Chen, Jeremy Hoskins, Yuehaw Khoo, Michael Lindsey
Committor functions via tensor networks. CoRR (2021)
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
Joint Community Detection and Rotational Synchronization via Semidefinite Programming. CoRR (2021)
Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. CoRR (2021)
Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying
A semigroup method for high dimensional committor functions based on neural network. MSML (2021)
Yuehaw Khoo, Jianfeng Lu, Lexing Ying
Efficient Construction of Tensor Ring Representations from Sampling. Multiscale Model. Simul. 19 (3) (2021)
Yuehaw Khoo, Lin Lin, Michael Lindsey, Lexing Ying
Semidefinite Relaxation of Multimarginal Optimal Transport for Strictly Correlated Electrons in Second Quantization. SIAM J. Sci. Comput. 42 (6) (2020)
José F. S. Bravo Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer
NMR Assignment through Linear Programming. CoRR (2020)
Yian Chen, Yuehaw Khoo, Michael Lindsey
Multiscale semidefinite programming approach to positioning problems with pairwise structure. CoRR (2020)
Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying
Solving for high dimensional committor functions using neural network with online approximation to derivatives. CoRR (2020)
Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer
Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. CoRR (2019)
Yuehaw Khoo, Lexing Ying
Convex Relaxation Approaches for Strictly Correlated Density Functional Theory. SIAM J. Sci. Comput. 41 (4) (2019)
Yuehaw Khoo, Lexing Ying
SwitchNet: A Neural Network Model for Forward and Inverse Scattering Problems. SIAM J. Sci. Comput. 41 (5) (2019)
Yuehaw Khoo, Jianfeng Lu, Lexing Ying
Solving for high dimensional committor functions using artificial neural networks. CoRR (2018)
Senwei Liang, Yuehaw Khoo, Haizhao Yang
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization. CoRR (2018)
Yuehaw Khoo, Lexing Ying
SwitchNet: a neural network model for forward and inverse scattering problems. CoRR (2018)
José F. S. Bravo Ferreira, Yuehaw Khoo, Amit Singer
Semidefinite programming approach for the quadratic assignment problem with a sparse graph. Comput. Optim. Appl. 69 (3) (2018)
Ahmet Tuysuzoglu, Yuehaw Khoo, W. Clem Karl
Fast and Robust Discrete Computational Imaging. Computational Imaging (2017)
Yuehaw Khoo, Ankur Kapoor
Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite Programming. IEEE Trans. Image Process. 25 (7) (2016)
Yuehaw Khoo, Amit Singer, David Cowburn
Residual Dipolar Coupling, Protein Backbone Conformation and Semidefinite Programming. CoRR (2016)
Yuehaw Khoo, Amit Singer, David Cowburn
Bias Correction in Saupe Tensor Estimation. CoRR (2016)
Ahmet Tuysuzoglu, Yuehaw Khoo, W. Clem Karl
Variable splitting techniques for discrete tomography. ICIP (2016)
Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer
Large-scale sensor network localization via rigid subnetwork registration. ICASSP (2015)
Yuehaw Khoo, Ankur Kapoor
Towards non-iterative closest point: Exact recovery of pose for rigid 2D/3D registration using semidefinite programming. CoRR (2015)
Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer
Global Registration of Multiple Point Clouds Using Semidefinite Programming. SIAM J. Optim. 25 (1) (2015)
Afonso S. Bandeira, Yuehaw Khoo, Amit Singer
Open Problem: Tightness of maximum likelihood semidefinite relaxations. COLT (2014)
Afonso S. Bandeira, Yuehaw Khoo, Amit Singer
Open problem: Tightness of maximum likelihood semidefinite relaxations. CoRR (2014)
Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer
Large-Scale Sensor Network Localization via Rigid Subnetwork Registration. CoRR (2013)
Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer, David Cowburn
Global registration of multiple point clouds using semidefinite programming. CoRR (2013)