217 citations · 1.4k across the 33 of their papers we have counts for
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A Markov Jump Process for More Efficient Hamiltonian Monte Carlo
Andrew B. Berger, Mayur Mudigonda, Michael R. DeWeese +1
In most sampling algorithms, including Hamiltonian Monte Carlo, transition rates between states correspond to the probability of making a transition in a single time step, and are…
Nonequilibrium work energy relation for non-Hamiltonian dynamics
Dibyendu Mandal, Michael R. DeWeese
Recent years have witnessed major advances in our understanding of nonequilibrium processes. The Jarzynski equality, for example, provides a link between equilibrium free energy di…
Optimal protocols for slowly-driven quantum processes
Patrick R. Zulkowski, Michael R. DeWeese
The design of efficient quantum information processing will rely on optimal nonequilibrium transitions of driven quantum systems. Building on a recently-developed geometric framewo…
Optimal Control of Overdamped Systems
Patrick R. Zulkowski, Michael R. DeWeese
Nonequilibrium physics encompasses a broad range of natural and synthetic small-scale systems. Optimizing transitions of such systems will be crucial for the development of nanosca…
Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality
Sarah E. Marzen, Michael R. DeWeese, James P. Crutchfield
The mutual information between stimulus and spike-train response is commonly used to monitor neural coding efficiency, but neuronal computation broadly conceived requires more refi…