Yuehaw Khoo - RankMe

69 papers A* 2B 1Misc 1Journal 63Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Method of Moments for Estimation of Noisy Curves. SIAM J. Math. Data Sci. Phillip Lo, Yuehaw Khoo
2026	J	`jnl`	Non-Uniform Quantum Fourier Transform. CoRR Junaid Aftab, Yuehaw Khoo, Haizhao Yang
2026	J	`jnl`	Recursive Sketched Interpolation: Efficient Hadamard Products of Tensor Trains. CoRR Zhaonan Meng, Yuehaw Khoo, Jiajia Li, E. Miles Stoudenmire
2026	J	`jnl`	Subspace Method of Moments for SIAM J. Imaging Sci. Jeremy G. Hoskins, Yuehaw Khoo, Oscar Mickelin, Amit Singer, Yuguan Wang
2025	J	`jnl`	A Model-Guided Neural Network Method for the Inverse Scattering Problem. CoRR Olivia Tsang, Owen Melia, Vasileios Charisopoulos, Jeremy G. Hoskins, Yuehaw Khoo, Rebecca Willett
2025	J	`jnl`	Bias-variance Tradeoff in Tensor Estimation. CoRR Shivam Kumar, Haotian Xu, Carlos Misael Madrid Padilla, Yuehaw Khoo, Oscar Hernan Madrid Padilla, Daren Wang
2025	J	`jnl`	Convex relaxation approaches for high-dimensional optimal transport. CoRR Yuehaw Khoo, Tianyun Tang
2025	J	`jnl`	Fast operator learning for mapping correlations. CoRR Yuehaw Khoo, Yuguan Wang, Siyao Yang
2025	J	`jnl`	Initialization and training of matrix product state probabilistic models. CoRR Xun Tang, Yuehaw Khoo, Lexing Ying
2025	J	`jnl`	Multi-frequency progressive refinement for learned inverse scattering. J. Comput. Phys. Owen Melia, Olivia Tsang, Vasileios Charisopoulos, Yuehaw Khoo, Jeremy G. Hoskins, Rebecca Willett
2025	J	`jnl`	On a spherically lifted spin model at finite temperature. CoRR Xun Tang, Yuehaw Khoo, Lexing Ying
2025	J	`jnl`	Optimization-Free Diffusion Model - A Perturbation Theory Approach. CoRR Yuehaw Khoo, Mathias Oster, Yifan Peng
2025	J	`jnl`	Robust Point Matching with Distance Profiles. J. Mach. Learn. Res. Yoonhaeng Hur, Yuehaw Khoo
2025	J	`jnl`	Sketch Tomography: Hybridizing Classical Shadow and Matrix Product State. CoRR Xun Tang, Haoxuan Chen, Yuehaw Khoo, Lexing Ying
2025	J	`jnl`	Solving cluster moment relaxation with hierarchical matrix. J. Comput. Phys. Yi Wang, Rizheng Huang, Yuehaw Khoo
2024	J	`jnl`	Augmented Lagrangian method for coupled-cluster. CoRR Fabian M. Faulstich, Yuehaw Khoo, Kangbo Li
2024	J	`jnl`	Deep neural-network prior for orbit recovery from method of moments. J. Comput. Appl. Math. Yuehaw Khoo, Sounak Paul, Nir Sharon
2024	J	`jnl`	Multiscale Semidefinite Programming Approach to Positioning Problems with Pairwise Structure. J. Sci. Comput. Yian Chen, Yuehaw Khoo, Michael Lindsey
2024	J	`jnl`	Nonparametric Estimation via Variance-Reduced Sketching. CoRR Yuehaw Khoo, Yifan Peng, Daren Wang
2024	J	`jnl`	Re-anchoring Quantum Monte Carlo with Tensor-Train Sketching. CoRR Ziang Yu, Shiwei Zhang, Yuehaw Khoo
2024	J	`jnl`	Reinforced Inverse Scattering. SIAM J. Sci. Comput. Hanyang Jiang, Yuehaw Khoo, Haizhao Yang
2024	A*	`conf`	S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization. NeurIPS Licheng Zhu, Mathias Oster, Yuehaw Khoo
2024	J	`jnl`	Scalable semidefinite programming approach to variational embedding for quantum many-body problems. J. Comput. Phys. Yuehaw Khoo, Michael Lindsey
2024	J	`jnl`	Solving cluster moment relaxation with hierarchical matrix. CoRR Yi Wang, Yuehaw Khoo
2024	J	`jnl`	Subspace method of moments for ab initio 3-D single-particle Cryo-EM reconstruction. CoRR Jeremy G. Hoskins, Yuehaw Khoo, Oscar Mickelin, Amit Singer, Yuguan Wang
2024	J	`jnl`	Tensor Density Estimator by Convolution-Deconvolution. CoRR Yifan Peng, Siyao Yang, Yuehaw Khoo, Daren Wang
2023	J	`jnl`	A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. SIAM J. Matrix Anal. Appl. Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
2023	J	`jnl`	Combining Particle and Tensor-network Methods for Partial Differential Equations via Sketching. CoRR Yian Chen, Yuehaw Khoo
2023	J	`jnl`	Committor functions via tensor networks. J. Comput. Phys. Yian Chen, Jeremy G. Hoskins, Yuehaw Khoo, Michael Lindsey
2023	J	`jnl`	Convex Relaxation for Fokker-Planck. CoRR Yian Chen, Yuehaw Khoo, Lek-Heng Lim
2023	J	`jnl`	Deep Neural-network Prior for Orbit Recovery from Method of Moments. CoRR Yuehaw Khoo, Sounak Paul, Nir Sharon
2023	J	`jnl`	Generative Modeling via Hierarchical Tensor Sketching. CoRR Yifan Peng, Yian Chen, E. Miles Stoudenmire, Yuehaw Khoo
2023	J	`jnl`	Matching via Distance Profiles. CoRR Yoonhaeng Hur, Yuehaw Khoo
2023	J	`jnl`	Tensorizing flows: a tool for variational inference. CoRR Yuehaw Khoo, Michael Lindsey, Hongli Zhao
2022	J	`jnl`	Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms. CoRR Tamir Bendory, Yuehaw Khoo, Joe Kileel, Oscar Mickelin, Amit Singer
2022	J	`jnl`	Generative Modeling via Tree Tensor Network States. CoRR Xun Tang, Yoonhaeng Hur, Yuehaw Khoo, Lexing Ying
2022	J	`jnl`	Generative modeling via tensor train sketching. CoRR Yoonhaeng Hur, Jeremy G. Hoskins, Michael Lindsey, E. Miles Stoudenmire, Yuehaw Khoo
2022	J	`jnl`	High-dimensional density estimation with tensorizing flow. CoRR Yinuo Ren, Hongli Zhao, Yuehaw Khoo, Lexing Ying
2022	J	`jnl`	Joint Community Detection and Rotational Synchronization via Semidefinite Programming. SIAM J. Math. Data Sci. Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
2022	J	`jnl`	NMR assignment through linear programming. J. Glob. Optim. José F. S. Bravo Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer
2022	J	`jnl`	Reinforced Inverse Scattering. CoRR Hanyang Jiang, Yuehaw Khoo, Haizhao Yang
2021	J	`jnl`	A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. CoRR Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
2021	—	`conf`	A semigroup method for high dimensional committor functions based on neural network. MSML Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying
2021	J	`jnl`	Committor functions via tensor networks. CoRR Yian Chen, Jeremy G. Hoskins, Yuehaw Khoo, Michael Lindsey
2021	J	`jnl`	Efficient Construction of Tensor Ring Representations from Sampling. Multiscale Model. Simul. Yuehaw Khoo, Jianfeng Lu, Lexing Ying
2021	J	`jnl`	Joint Community Detection and Rotational Synchronization via Semidefinite Programming. CoRR Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao
2020	J	`jnl`	Multiscale semidefinite programming approach to positioning problems with pairwise structure. CoRR Yian Chen, Yuehaw Khoo, Michael Lindsey
2020	J	`jnl`	NMR Assignment through Linear Programming. CoRR José F. S. Bravo Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer
2020	J	`jnl`	Semidefinite Relaxation of Multimarginal Optimal Transport for Strictly Correlated Electrons in Second Quantization. SIAM J. Sci. Comput. Yuehaw Khoo, Lin Lin, Michael Lindsey, Lexing Ying
2020	J	`jnl`	Solving for high dimensional committor functions using neural network with online approximation to derivatives. CoRR Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying
2019	J	`jnl`	Convex Relaxation Approaches for Strictly Correlated Density Functional Theory. SIAM J. Sci. Comput. Yuehaw Khoo, Lexing Ying
2019	J	`jnl`	Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. CoRR Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer
2019	J	`jnl`	SwitchNet: A Neural Network Model for Forward and Inverse Scattering Problems. SIAM J. Sci. Comput. Yuehaw Khoo, Lexing Ying
2018	J	`jnl`	Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization. CoRR Senwei Liang, Yuehaw Khoo, Haizhao Yang
2018	J	`jnl`	Semidefinite programming approach for the quadratic assignment problem with a sparse graph. Comput. Optim. Appl. José F. S. Bravo Ferreira, Yuehaw Khoo, Amit Singer
2018	J	`jnl`	Solving for high dimensional committor functions using artificial neural networks. CoRR Yuehaw Khoo, Jianfeng Lu, Lexing Ying
2018	J	`jnl`	SwitchNet: a neural network model for forward and inverse scattering problems. CoRR Yuehaw Khoo, Lexing Ying
2017	—	`conf`	Fast and Robust Discrete Computational Imaging. Computational Imaging Ahmet Tuysuzoglu, Yuehaw Khoo, W. Clem Karl
2016	J	`jnl`	Bias Correction in Saupe Tensor Estimation. CoRR Yuehaw Khoo, Amit Singer, David Cowburn
2016	J	`jnl`	Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite Programming. IEEE Trans. Image Process. Yuehaw Khoo, Ankur Kapoor
2016	J	`jnl`	Residual Dipolar Coupling, Protein Backbone Conformation and Semidefinite Programming. CoRR Yuehaw Khoo, Amit Singer, David Cowburn
2016	B	`conf`	Variable splitting techniques for discrete tomography. ICIP Ahmet Tuysuzoglu, Yuehaw Khoo, W. Clem Karl
2015	J	`jnl`	Global Registration of Multiple Point Clouds Using Semidefinite Programming. SIAM J. Optim. Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer
2015	Misc	`conf`	Large-scale sensor network localization via rigid subnetwork registration. ICASSP Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer
2015	J	`jnl`	Towards non-iterative closest point: Exact recovery of pose for rigid 2D/3D registration using semidefinite programming. CoRR Yuehaw Khoo, Ankur Kapoor
2014	A*	`conf`	Open Problem: Tightness of maximum likelihood semidefinite relaxations. COLT Afonso S. Bandeira, Yuehaw Khoo, Amit Singer
2014	J	`jnl`	Open problem: Tightness of maximum likelihood semidefinite relaxations. CoRR Afonso S. Bandeira, Yuehaw Khoo, Amit Singer
2013	J	`jnl`	Global registration of multiple point clouds using semidefinite programming. CoRR Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer, David Cowburn
2013	J	`jnl`	Large-Scale Sensor Network Localization via Rigid Subnetwork Registration. CoRR Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer