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10/09/2022
Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials
Data-driven interatomic potentials have emerged as a powerful class of s...
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12/08/2020
Efficient Numerical Algorithms for the Generalized Langevin Equation
We study the design and implementation of numerical methods to solve the...
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08/18/2020
Non-reversible Markov chain Monte Carlo for sampling of districting maps
Evaluating the degree of partisan districting (Gerrymandering) in a stat...
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04/08/2020
Posterior computation with the Gibbs zig-zag sampler
Markov chain Monte Carlo (MCMC) sampling algorithms have dominated the l...
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08/25/2019
Hypocoercivity properties of adaptive Langevin dynamics
Adaptive Langevin dynamics is a method for sampling the Boltzmann-Gibbs ...
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08/25/2019
Hypercoercivity properties of adaptive Langevin dynamics
Adaptive Langevin dynamics is a method for sampling the Boltzmann-Gibbs ...
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05/27/2019