15 citations · 21 across the 2 of their papers we have counts for
2 papers
stat.ML2022★ 6 cited
Learning and Inference in Sparse Coding Models with Langevin Dynamics
Michael Y. -S. Fang, Mayur Mudigonda, Ryan Zarcone +2
We describe a stochastic, dynamical system capable of inference and learning in a probabilistic latent variable model. The most challenging problem in such models - sampling the po…
cond-mat.stat-mech2020★ 15 cited
Solution to the Fokker-Planck equation for slowly driven Brownian motion: Emergent geometry and a formula for the corresponding thermodynamic metric
Neha S. Wadia, Ryan V. Zarcone, Michael R. DeWeese
Considerable progress has recently been made with geometrical approaches to understanding and controlling small out-of-equilibrium systems, but a mathematically rigorous foundation…