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ORCIDMichael Lindsey
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2020 – today
- 2024
[j7]Yuehaw Khoo, Michael Lindsey
:
Scalable semidefinite programming approach to variational embedding for quantum many-body problems. J. Comput. Phys. 510: 113041 (2024)- [j6]Yian Chen, Yuehaw Khoo, Michael Lindsey:
Multiscale Semidefinite Programming Approach to Positioning Problems with Pairwise Structure. J. Sci. Comput. 101(2): 42 (2024) - [c1]Michael S. Albergo, Nicholas Matthew Boffi, Michael Lindsey, Eric Vanden-Eijnden:
Multimarginal Generative Modeling with Stochastic Interpolants. ICLR 2024 - [i16]Jielun Chen, Michael Lindsey:
Direct interpolative construction of the discrete Fourier transform as a matrix product operator. CoRR abs/2404.03182 (2024) - [i15]Yuhang Cai, Jingfeng Wu, Song Mei, Michael Lindsey, Peter L. Bartlett:
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization. CoRR abs/2406.08654 (2024) - [i14]Mark Fornace, Michael Lindsey:
Column and row subset selection using nuclear scores: algorithms and theory for Nyström approximation, CUR decomposition, and graph Laplacian reduction. CoRR abs/2407.01698 (2024) - [i13]P. Michael Kielstra, Michael Lindsey:
Gaussian process regression with log-linear scaling for common non-stationary kernels. CoRR abs/2407.03608 (2024) - 2023
- [j5]Yian Chen, Jeremy G. Hoskins, Yuehaw Khoo, Michael Lindsey:
Committor functions via tensor networks. J. Comput. Phys. 472: 111646 (2023) - [i12]Michael Lindsey:
Fast randomized entropically regularized semidefinite programming. CoRR abs/2303.12133 (2023) - [i11]Yuehaw Khoo, Michael Lindsey, Hongli Zhao:
Tensorizing flows: a tool for variational inference. CoRR abs/2305.02460 (2023) - [i10]Michael S. Albergo, Nicholas M. Boffi, Michael Lindsey, Eric Vanden-Eijnden:
Multimarginal generative modeling with stochastic interpolants. CoRR abs/2310.03695 (2023) - [i9]Michael Lindsey:
Multiscale interpolative construction of quantized tensor trains. CoRR abs/2311.12554 (2023) - 2022
- [j4]Dong An, Lin Lin, Michael Lindsey:
Towards sharp error analysis of extended Lagrangian molecular dynamics. J. Comput. Phys. 466: 111403 (2022) - [j3]Michael Lindsey, Jonathan Weare, Anna Zhang:
Ensemble Markov Chain Monte Carlo with Teleporting Walkers. SIAM/ASA J. Uncertain. Quantification 10(3): 860-885 (2022) - [i8]Yoonhaeng Hur, Jeremy G. Hoskins, Michael Lindsey, E. Miles Stoudenmire, Yuehaw Khoo:
Generative modeling via tensor train sketching. CoRR abs/2202.11788 (2022) - [i7]Huan Zhang, Robert J. Webber, Michael Lindsey, Timothy C. Berkelbach, Jonathan Weare:
Understanding and eliminating spurious modes in variational Monte Carlo using collective variables. CoRR abs/2211.09767 (2022) - 2021
- [i6]Michael Lindsey, Jonathan Weare, Anna Zhang:
Ensemble Markov chain Monte Carlo with teleporting walkers. CoRR abs/2106.02686 (2021) - [i5]Robert J. Webber, Michael Lindsey:
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo. CoRR abs/2106.10558 (2021) - [i4]Yian Chen, Jeremy G. Hoskins, Yuehaw Khoo, Michael Lindsey:
Committor functions via tensor networks. CoRR abs/2106.12515 (2021) - 2020
- [j2]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): B1462-B1489 (2020) - [i3]Dong An, Lin Lin, Michael Lindsey:
Towards sharp error analysis of extended Lagrangian molecular dynamics. CoRR abs/2010.07508 (2020) - [i2]Yian Chen, Yuehaw Khoo, Michael Lindsey:
Multiscale semidefinite programming approach to positioning problems with pairwise structure. CoRR abs/2012.10046 (2020)
2010 – 2019
- 2019
- [i1]Lin Lin, Michael Lindsey:
Variational embedding for quantum many-body problems. CoRR abs/1910.00560 (2019) - 2017
- [j1]Michael Lindsey, Yanir A. Rubinstein:
Optimal Transport via a Monge-Ampère Optimization Problem. SIAM J. Math. Anal. 49(4): 3073-3124 (2017)
Coauthor Index
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