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05/03/2023
Tensorizing flows: a tool for variational inference
Fueled by the expressive power of deep neural networks, normalizing flow...
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03/21/2023
Fast randomized entropically regularized semidefinite programming
We develop a practical approach to semidefinite programming (SDP) that i...
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06/23/2021
Committor functions via tensor networks
We propose a novel approach for computing committor functions, which des...
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06/19/2021
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo
Variational Monte Carlo (VMC) is an approach for computing ground-state ...
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06/04/2021
Ensemble Markov chain Monte Carlo with teleporting walkers
We introduce an ensemble Markov chain Monte Carlo approach to sampling f...
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12/18/2020
Multiscale semidefinite programming approach to positioning problems with pairwise structure
We consider the optimization of pairwise objective functions, i.e., obje...
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10/15/2020
Towards sharp error analysis of extended Lagrangian molecular dynamics
The extended Lagrangian molecular dynamics (XLMD) method provides a usef...
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10/01/2019
