1 citations · 1 across the 5 of their papers we have counts for
5 papers
Thermoinformational State Construction: Generative Energies, Entropies, and H-Theorem Consistency
George-Rafael Domenikos, Lock Yue Chew, Victoria Leong
We introduce a constructive framework for assigning thermodynamic structure to an arbitrary data system from its measured microstates. Starting from an empirical distribution over…
Variational formulation of stochastic thermodynamics: Finite-dimensional systems
Héctor Vaquero del Pino, François Gay-Balmaz, Hiroaki Yoshimura +1
In this paper, we develop a variational foundation for stochastic thermodynamics of finite-dimensional, continuous-time systems. Requiring the second law (non-negative average tota…
Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units
Vee-Liem Saw, Luca Vismara, Suryadi +3
Predicting the origin-destination (OD) probability distribution of agent transfer is an important problem for managing complex systems. However, prediction accuracy of associated s…
Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data
Suryadi, Yew-Soon Ong, Lock Yue Chew
Granger causality is a commonly used method for uncovering information flow and dependencies in a time series. Here we introduce JGC (Jacobian Granger Causality), a neural network-…
Can bus bunching reduce waiting time?
Luca Vismara, Vee-Liem Saw, Lock Yue Chew
Bus bunching is ostensibly regarded as a detrimental phenomenon in bus systems. We study a bus loop with two bus stops, one regular and one spike bus stop, where bunched buses can…