102 citations · 111 across the 9 of their papers we have counts for
11 papers · 1 filter
Boltzmann Sampling by Diabatic Quantum Annealing
Ju-Yeon Gyhm, Gilhan Kim, Hyukjoon Kwon +1
Boltzmann sampling is a central component of many computational frameworks, including numerous algorithms in machine learning. Although quantum annealers have been investigated as…
Unified Hierarchical Relationship Between Thermodynamic Tradeoff Relations
Euijoon Kwon, Jong-Min Park, Jae Sung Lee +1
Recent years have witnessed a surge of discoveries in the studies of thermodynamic inequalities: the thermodynamic uncertainty relation (TUR) and the entropic bound (EB) provide a…
Tradeoff of generalization error in unsupervised learning
Gilhan Kim, Hojun Lee, Junghyo Jo +1
Finding the optimal model complexity that minimizes the generalization error (GE) is a key issue of machine learning. For the conventional supervised learning, this task typically…
-divergence Improves the Entropy Production Estimation via Machine Learning
Euijoon Kwon, Yongjoo Baek
Recent years have seen a surge of interest in the algorithmic estimation of stochastic entropy production (EP) from trajectory data via machine learning. A crucial element of such…
Effects of the self-propulsion parity on the efficiency of a fuel-consuming active heat engine
Yongjae Oh, Yongjoo Baek
We propose a thermodynamically consistent, analytically tractable model of steady-state active heat engines driven by both temperature difference and a constant chemical driving. W…
Bodies in an Interacting Active Fluid: Far-Field Influence of a Single Body and Interaction Between Two Bodies
Omer Granek, Yongjoo Baek, Yariv Kafri +1
Because active particles break time-reversal symmetry, an active fluid can sustain currents even without an external drive. We show that when a passive body is placed in a fluid of…